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Alexandre DOLGUI

ENSEIGNANT-CHERCHEUR

HDR

: Alexandre.Dolguiatls2n.fr

Adresse :

IMT Atlantique Bretagne-Pays de la Loire Ecole Mines-Telecom ( IMT ATLANTIQUE )
La Chantrerie
4, rue Alfred Kastler
B.P. 20722
44307 NANTES Cedex 3


Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [1] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Optimizing modular equipment in the design of multi-product reconfigurable production lines. In Computers & Industrial Engineering, vol. 192. 2024
      https://hal.science/hal-04580004v1
    • [2] O. Battaïa, A. Dolgui, N. Guschinsky. An exact method for machining lines design with equipment selection and line balancing. In International Journal of Production Research ; éd. Taylor & Francis, 2024, vol. 62, num. 1-2.
      https://hal.science/hal-04418105v2
    • [3] C. Chu, F. Chu, A. Dolgui, R. Nagi, X. Xie. Special issue in memory of Dr. Jean-Marie Proth (7.12.1938–17.06.2021). In International Journal of Production Research ; éd. Taylor & Francis, 2024, vol. 62, num. 1-2.
      https://hal.science/hal-04418122v1
    • [4] B. Loger, A. Dolgui, F. Lehuédé, G. Massonnet. Approximate Kernel Learning Uncertainty Set for Robust Combinatorial Optimization. In INFORMS Journal on Computing ; éd. Institute for Operations Research and the Management Sciences (INFORMS), 2024.
      https://hal.science/hal-04556151v1
    • [5] I. Jackson, D. Ivanov, A. Dolgui, J. Namdar. Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation. In International Journal of Production Research ; éd. Taylor & Francis, 2024.
      https://imt-atlantique.hal.science/hal-04591724v1
    • [6] M. Ardolino, A. Bacchetti, A. Dolgui, G. Franchini, D. Ivanov, A. Nair. The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review. In International Journal of Production Research ; éd. Taylor & Francis, 2024, vol. 62, num. 5.
      https://hal.science/hal-04441491v1
    • [7] P. Metzker Soares, S. Thevenin, Y. Adulyasak, A. Dolgui. Adaptive robust optimization for lot-sizing under yield uncertainty. In European Journal of Operational Research ; éd. Elsevier, 2024, vol. 313, num. 2.
      https://hal.science/hal-04408182v1
    • [8] Y. Mezghani, S. Hashemi-Petroodi, S. Thevenin, A. Dolgui. Robust design and reconfiguration planning of mixed-model assembly lines under uncertain evolutions of product family. In International Journal of Production Research ; éd. Taylor & Francis, 2024, vol. 62, num. 13.
      https://hal.science/hal-04615790v1
    • [9] J. He, F. Chu, A. Dolgui, M. Anjos. Multi-objective disassembly line balancing and related supply chain management problems under uncertainty: Review and future trends. In International Journal of Production Economics ; éd. Elsevier, 2024, vol. 272.
      https://hal.science/hal-04572823v1
    • [10] M. Habibi, R. Hammami, O. Battaia, A. Dolgui. Simultaneous Pickup-and-Delivery Production-Routing Problem in closed-loop supply chain with remanufacturing and disassembly consideration. In International Journal of Production Economics ; éd. Elsevier, 2024, vol. 273.
      https://rennes-sb.hal.science/hal-04611910v1
    • [11] P. Hu, F. Chu, A. Dolgui, C. Chu, M. Liu. Integrated multi-product reverse supply chain design and disassembly line balancing under uncertainty. In Omega ; éd. Elsevier, 2024, vol. 126.
      https://univ-evry.hal.science/hal-04505479v1
    • [12] D. Tremblet, A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Optimizing task reassignments for reconfigurable multi-model assembly lines with unknown order of product arrival. In Journal of Manufacturing Systems, vol. 67. 2023
      https://hal.science/hal-03968774v1
    • [13] S. Razm, N. Brahimi, R. Hammami, A. Dolgui. A production planning model for biorefineries with biomass perishability and biofuel transformation. In International Journal of Production Economics ; éd. Elsevier, 2023, vol. 258.
      https://hal.science/hal-03983520v1
    • [14] A. Yousefloo, R. Babazadeh, M. Mohammadi, A. Pirayesh, A. Dolgui. Design of a robust waste recycling network integrating social and environmental pillars of sustainability. In Computers & Industrial Engineering ; éd. Elsevier, 2023, vol. 176.
      https://hal.science/hal-03983519v1
    • [15] M. Liu, Y. Ding, F. Chu, A. Dolgui, F. Zheng. Robust actions for improving supply chain resilience and viability. In Omega ; éd. Elsevier, 2023, vol. 123.
      https://hal.science/hal-04232218v1
    • [16] B. Vahedi-Nouri, R. Tavakkoli-Moghaddam, Z. Hanzálek, A. Dolgui. Production scheduling in a reconfigurable manufacturing system benefiting from human-robot collaboration. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 62, num. 3.
      https://hal.science/hal-04408423v1
    • [17] O. Battaïa, A. Dolgui, N. Guschinsky, M. Kovalyov. Designing fast-charge urban electric bus services: An Integer Linear Programming model. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2023, vol. 171.
      https://hal.science/hal-03984067v1
    • [18] S. Chen, Y. Pan, D. Wu, A. Dolgui. In-house versus outsourcing collection in a closed-loop supply chain with remanufacturing technology development. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 6.
      https://hal.science/hal-04232250v1
    • [19] D. Luo, S. Thevenin, A. Dolgui. A state-of-the-art on production planning in Industry 4.0. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 19.
      https://hal.science/hal-03793675v1
    • [20] G. Castañé, A. Dolgui, N. Kousi, B. Meyers, S. Thevenin, E. Vyhmeister, P. Östberg. The ASSISTANT project: AI for high level decisions in manufacturing. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 7.
      https://hal.science/hal-03793828v1
    • [21] D. Ivanov, A. Dolgui, J. Blackhurst, T. Choi. Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 8.
      https://hal.science/hal-04232246v1
    • [22] A. Dolgui, D. Ivanov. Metaverse supply chain and operations management. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 23.
      https://hal.science/hal-04408334v1
    • [23] O. Battaïa, A. Dolgui, N. Guschinsky, B. Rozin. MILP model for fleet and charging infrastructure decisions for fast-charging city electric bus services. In Computers & Industrial Engineering ; éd. Elsevier, 2023, vol. 182.
      https://hal.science/hal-04232244v1
    • [24] O. Battaïa, A. Dolgui, N. Guschinsky. MIP-based heuristics for combinatorial design of reconfigurable rotary transfer machines for production of multiple parts. In International Journal of Production Economics ; éd. Elsevier, 2023, vol. 262.
      https://hal.science/hal-04232231v1
    • [25] M. Khakifirooz, M. Fathi, A. Dolgui, P. Pardalos. Scheduling in Industrial environment toward future: insights from Jean-Marie Proth. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 62, num. 1-2.
      https://hal.science/hal-04418169v1
    • [26] D. Tremblet, S. Thevenin, A. Dolgui. Makespan estimation in a flexible job-shop scheduling environment using machine learning. In International Journal of Production Research ; éd. Taylor & Francis, 2023.
      https://hal.science/hal-04420067v1
    • [27] S. Koh, F. Jia, Y. Gong, X. Zheng, A. Dolgui. Achieving carbon neutrality via supply chain management: position paper and editorial for IJPR special issue. In International Journal of Production Research ; éd. Taylor & Francis, 2023, vol. 61, num. 18.
      https://hal.science/hal-04232224v1
    • [28] B. Vahdani, M. Mohammadi, S. Thevenin, P. Meyer, A. Dolgui. Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic. In Omega ; éd. Elsevier, 2023, vol. 120.
      https://hal.science/hal-04232233v1
    • [29] A. Dolgui, O. Gusikhin, D. Ivanov, X. Li, K. Stecke. A network-of-networks adaptation for cross-industry manufacturing repurposing. In IISE Transactions ; éd. Taylor & Francis, 2023, vol. 56, num. 6.
      https://hal.science/hal-04232230v1
    • [30] J. Lu, D. Wu, J. Dong, A. Dolgui. A decision support method for credit risk based on the dynamic Bayesian network. In Industrial Management and Data Systems ; éd. Emerald, 2023, vol. 123, num. 12.
      https://hal.science/hal-04407988v1
    • [31] B. Vahdani, M. Mohammadi, S. Thevenin, M. Gendreau, A. Dolgui, P. Meyer. Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19. In European Journal of Operational Research ; éd. Elsevier, 2023, vol. 310, num. 3.
      https://hal.science/hal-04232211v1
    • [32] M. Elyasi, B. Altan, A. Ekici, O. Özener, I. Yanıkoğlu, A. Dolgui. Production planning with flexible manufacturing systems under demand uncertainty. In International Journal of Production Research ; éd. Taylor & Francis, 2023, num. 1-2.
      https://hal.science/hal-04313121v1
    • [33] M. Elyasi, O. Özener, I. Yanıkoğlu, A. Ekici, A. Dolgui. A column generation-based approach for the adaptive stochastic blood donation tailoring problem. In International Journal of Production Research ; éd. Taylor & Francis, 2023.
      https://hal.science/hal-04324263v1
    • [34] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Minimizing task reassignments under balancing multi-product reconfigurable manufacturing lines. In Computers & Industrial Engineering, vol. 173. 2022
      https://hal.science/hal-03783903v1
    • [35] C. Gonnermann, S. Hashemi-Petroodi, S. Thevenin, A. Dolgui, R. Daub. A skill- and feature-based approach to planning process monitoring in assembly planning. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2022, vol. 122, num. 5-6.
      https://hal.science/hal-03808442v1
    • [36] E. Gurevsky, A. Rasamimanana, A. Pirogov, A. Dolgui, A. Rossi. Stability factor for robust balancing of simple assembly lines under uncertainty. In Discrete Applied Mathematics, vol. 318. 2022
      https://hal.science/hal-03631880v1
    • [37] M. Mohammadi, M. Dehghan, A. Pirayesh, A. Dolgui. Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic. In Omega ; éd. Elsevier, 2022, vol. 113.
      https://hal.science/hal-03981849v1
    • [38] X. Schepler, A. Rossi, E. Gurevsky, A. Dolgui. Solving robust bin-packing problems with a branch-and-price approach. In European Journal of Operational Research, vol. 297, num. 3. 2022
      https://hal.science/hal-03265396v1
    • [39] A. Dolgui, F. Sgarbossa, M. Simonetto. Design and management of assembly systems 4.0: systematic literature review and research agenda. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 1.
      https://hal.science/hal-03982103v1
    • [40] A. Dolgui. Editorial board contributions celebrating the 60th anniversary of IJPR: parts 1 and 2. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 1.
      https://hal.science/hal-03982096v1
    • [41] A. Dolgui, D. Ivanov. 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 2.
      https://hal.science/hal-03982088v1
    • [42] J. He, F. Chu, A. Dolgui, F. Zheng, M. Liu. Integrated stochastic disassembly line balancing and planning problem with machine specificity. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 5.
      https://hal.science/hal-03118513v1
    • [43] T. Choi, A. Dolgui, D. Ivanov, E. Pesch. OR and analytics for digital, resilient, and sustainable manufacturing 4.0. In Annals of Operations Research ; éd. Springer Verlag, 2022, vol. 310, num. 1.
      https://hal.science/hal-03982080v1
    • [44] B. Vahedi-Nouri, R. Tavakkoli-Moghaddam, Z. Hanzálek, A. Dolgui. Workforce planning and production scheduling in a reconfigurable manufacturing system facing the COVID-19 pandemic. In Journal of Manufacturing Systems ; éd. Elsevier, 2022, vol. 63.
      https://hal.science/hal-03982038v1
    • [45] D. Ivanov, A. Dolgui, B. Sokolov. Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”. In Transportation Research Part E: Logistics and Transportation Review ; éd. Elsevier, 2022, vol. 160.
      https://hal.science/hal-03982048v1
    • [46] D. Ivanov, A. Dolgui. Stress testing supply chains and creating viable ecosystems. In Operations Management Research, vol. 15, num. 1-2. 06-2022
      https://hal.science/hal-03981977v1
    • [47] M. Hader, D. Tchoffa, A. Mhamedi, P. Ghodous, A. Dolgui, A. Abouabdellah. Applying integrated Blockchain and Big Data technologies to improve supply chain traceability and information sharing in the textile sector. In Journal of Industrial Information Integration ; éd. Elsevier, 2022, vol. 28.
      https://hal.science/hal-03834812v1
    • [48] O. Battaïa, A. Dolgui. Hybridizations in line balancing problems: A comprehensive review on new trends and formulations. In International Journal of Production Economics ; éd. Elsevier, 2022, vol. 250, num. 22.
      https://hal.science/hal-03981865v1
    • [49] Y. Li, D. Wu, A. Dolgui. Optimal trade credit coordination policy in dual-channel supply chain with consumer transfer. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 15.
      https://hal.science/hal-03981959v1
    • [50] P. Metzker, S. Thevenin, Y. Adulyasak, A. Dolgui. Robust optimization for lot-sizing problems under yield uncertainty. In Computers and Operations Research ; éd. Elsevier, 2022, vol. 149.
      https://hal.science/hal-03793673v1
    • [51] M. Liu, Z. Liu, F. Chu, A. Dolgui, C. Chu, F. Zheng. An optimization approach for multi-echelon supply chain viability with disruption risk minimization. In Omega ; éd. Elsevier, 2022, vol. 112.
      https://hal.science/hal-03692701v1
    • [52] S. Hasemi-Petroodi, S. Thevenin, S. Kovalev, A. Dolgui. Markov decision process for multi-manned mixed-model assembly lines with walking workers. In International Journal of Production Economics ; éd. Elsevier, 2022.
      https://hal.science/hal-03803756v1
    • [53] Y. Cheng, D. Olson, A. Dolgui. Financing with preferential credit to coordinate the capital-constraint supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 21.
      https://hal.science/hal-03981879v1
    • [54] Y. Yin, F. Chu, A. Dolgui, T. Cheng, M. Zhou. Big data analytics in production and distribution management. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 22.
      https://univ-evry.hal.science/hal-03892642v1
    • [55] A. Dolgui, M. Kovalyov, B. Lin. Maximizing total early work in a distributed two‐machine flow‐shop. In Naval Research Logistics ; éd. Wiley-Blackwell, 2022, vol. 69, num. 8.
      https://hal.science/hal-03981840v1
    • [56] E. Gafarov, A. Dolgui. On lower and upper bounds for single machine parallel batch scheduling. In Optimization Letters ; éd. Springer Verlag, 2022, vol. 16, num. 9.
      https://hal.science/hal-03981853v1
    • [57] S. Hashemi-Petroodi, S. Thevenin, S. Kovalev, A. Dolgui. Model-dependent task assignment in multi-manned mixed-model assembly lines with walking workers. In Omega ; éd. Elsevier, 2022, vol. 113.
      https://hal.science/hal-03793680v1
    • [58] I. Slama, O. Ben-Ammar, S. Thevenin, A. Dolgui, F. Masmoudi. Stochastic program for disassembly lot-sizing under uncertain component refurbishing lead times. In European Journal of Operational Research ; éd. Elsevier, 2022.
      https://hal.science/hal-03614823v1
    • [59] A. Dolgui. Editorial Board contributions celebrating the 60th Anniversary of IJPR: Part 3. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.
      https://hal.science/hal-03981792v1
    • [60] A. Wicaksana, W. Ho, S. Talluri, A. Dolgui. A decade of progress in supply chain risk management: risk typology, emerging topics, and research collaborators. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.
      https://hal.science/hal-03981806v1
    • [61] D. Ivanov, A. Dolgui. The shortage economy and its implications for supply chain and operations management. In International Journal of Production Research ; éd. Taylor & Francis, 2022, vol. 60, num. 24.
      https://hal.science/hal-03981801v1
    • [62] A. Pirogov, E. Gurevsky, A. Rossi, A. Dolgui. Robust balancing of transfer lines with blocks of uncertain parallel tasks under fixed cycle time and space restrictions. In European Journal of Operational Research, vol. 290, num. 3. 2021
      https://hal.science/hal-03003764v1
    • [63] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Reconfigurable manufacturing systems from an optimisation perspective: a focused review of literature. In International Journal of Production Research, vol. 59, num. 21. 2021
      https://hal.science/hal-02966035v1
    • [64] D. Ivanov, A. Dolgui. OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. In International Journal of Production Economics ; éd. Elsevier, 2021.
      https://hal.science/hal-03112204v1
    • [65] D. Ivanov, B. Sokolov, W. Chen, S. Potryasaev, A. Dolgui, F. Werner. A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints. In IISE Transactions ; éd. Taylor & Francis, 2021, vol. 53, num. 1.
      https://hal.science/hal-02990899v1
    • [66] X. Liu, F. Chu, A. Dolgui, F. Zheng, M. Liu. Service-oriented bi-objective robust collection-disassembly problem with equipment selection. In International Journal of Production Research ; éd. Taylor & Francis, 2021, vol. 59, num. 6.
      https://hal.science/hal-02488907v1
    • [67] D. Ivanov, C. Tang, A. Dolgui, D. Battini, A. Das. Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management. In International Journal of Production Research ; éd. Taylor & Francis, 2021, vol. 59, num. 7.
      https://hal.science/hal-02923787v1
    • [68] C. Serrano, X. Delorme, A. Dolgui. Cross-dock distribution and operation planning for overseas delivery consolidation: A case study in the automotive industry. In CIRP Journal of Manufacturing Science and Technology ; éd. Elsevier, 2021, vol. 33.
      https://hal.science/hal-03176631v1
    • [69] S. Razm, A. Dolgui, R. Hammami, N. Brahimi, S. Nickel, H. Sahebi. A two-phase sequential approach to design bioenergy supply chains under uncertainty and social concerns. In Computers & Chemical Engineering ; éd. Elsevier, 2021, vol. 145.
      https://hal.science/hal-03100462v1
    • [70] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. Genetic algorithm and Monte Carlo simulation for a stochastic capacitated disassembly lot-sizing problem under random lead times. In Computers & Industrial Engineering ; éd. Elsevier, 2021.
      https://hal.science/hal-03258442v1
    • [71] A. Dolgui, D. Ivanov. Manufacturing modelling, management and control: IFAC TC 5.2 past, present and future. In Annual Reviews in Control ; éd. Elsevier, 2020, vol. 49.
      https://hal.science/hal-03170925v1
    • [72] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. Approches d’optimisation pour un problème de planification de désassemblage sous incertitude des délais de désassemblage. In Génie industriel et productique ; éd. ISTE OpenScience, 2020, vol. 3, num. 1.
      https://hal.science/hal-03170986v1
    • [73] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. New mixed integer approach to solve a multi-level capacitated disassembly lot-sizing problem with defective items and backlogging. In Journal of Manufacturing Systems ; éd. Elsevier, 2020, vol. 56.
      https://hal.science/hal-02636673v1
    • [74] L. Koh, A. Dolgui, J. Sarkis. Blockchain in transport and logistics – paradigms and transitions. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 7.
      https://hal.science/hal-02550115v1
    • [75] S. Hashemi-Petroodi, S. Kovalev, S. Thevenin, A. Dolgui. Operations management issues in design and control of hybrid human-robot collaborative manufacturing systems: a survey. In Annual Reviews in Control ; éd. Elsevier, 2020, vol. 49.
      https://hal.science/hal-02882757v1
    • [76] S. Hosseini, D. Ivanov, A. Dolgui. Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 11.
      https://hal.science/hal-02923276v1
    • [77] A. Dolgui, D. Ivanov, M. Rozhkov. Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 5.
      https://hal.science/hal-02477561v1
    • [78] A. Diabat, A. Dolgui, W. Janiak, M. Kovalyov. Three parallel task assignment problems with shared resources. In IISE Transactions ; éd. Taylor & Francis, 2020, vol. 52, num. 4.
      https://hal.science/hal-02437934v1
    • [79] A. Dolgui, D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, F. Werner. Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 7.
      https://hal.science/hal-02550104v1
    • [80] A. Dolgui, G. Levin, B. Rozin. Optimisation of the aggregation and execution rates for intersecting operation sets: an example of machining process design. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 9.
      https://hal.science/hal-02556267v1
    • [81] H. Afsar, O. Ben-Ammar, A. Dolgui, F. Hnaien. Supplier Replacement Model in a One-Level Assembly System under Lead-Time Uncertainty. In Applied Sciences ; éd. Multidisciplinary digital publishing institute (MDPI), 2020.
      https://hal.science/hal-02572048v1
    • [82] D. Ivanov, A. Dolgui. Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 10.
      https://hal.science/hal-02568319v1
    • [83] O. Battaïa, A. Dolgui, N. Guschinsky. Optimal Cost Design of Flow Lines with Reconfigurable Machines for Batch Production. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 10.
      https://hal.science/hal-02568324v1
    • [84] Y. Cheng, D. Wu, D. Olson, A. Dolgui. Financing the newsvendor with preferential credit: bank vs. manufacturer. In International Journal of Production Research ; éd. Taylor & Francis, 2020.
      https://hal.science/hal-03197762v1
    • [85] A. Dolgui, D. Ivanov, B. Sokolov. Reconfigurable supply chain: the X-network. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 13.
      https://hal.science/hal-02882722v1
    • [86] Z. Tang, D. Wu, A. Dolgui. Option contracts for online celebrities as retailers in supply chains. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 14.
      https://hal.science/hal-02923295v1
    • [87] A. Kinra, D. Ivanov, A. Das, A. Dolgui. Ripple effect quantification by supplier risk exposure assessment. In International Journal of Production Research ; éd. Taylor & Francis, 2020, vol. 58, num. 18.
      https://hal.science/hal-02925637v1
    • [88] S. Hashemi-Petroodi, A. Dolgui, S. Kovalev, M. Kovalyov, S. Thevenin. Workforce reconfiguration strategies in manufacturing systems: a state of the art. In International Journal of Production Research ; éd. Taylor & Francis, 2020.
      https://hal.science/hal-03052898v1
    • [89] A. Dolgui, D. Ivanov. Exploring supply chain structural dynamics: New disruptive technologies and disruption risks. In International Journal of Production Economics ; éd. Elsevier, 2020, vol. 229.
      https://hal.science/hal-03170914v1
    • [90] O. Ben-Ammar, P. Castagliola, A. Dolgui, F. Hnaien. A hybrid genetic algorithm for a multilevel assembly replenishment planning problem with stochastic lead times. In Computers & Industrial Engineering ; éd. Elsevier, 2020, vol. 149.
      https://hal.science/hal-02935532v2
    • [91] A. Dolgui, E. Gafarov. Can a Branch and Bound algorithm solve all instances of SALBP-1 efficiently?. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.
      https://hal.science/hal-02435977v1
    • [92] A. Dolgui, S. Hashemi-Petroodi, S. Kovalev, M. Kovalyov, S. Thevenin. Workforce planning and assignment in mixed-model assembly lines as a factor of line reconfigurability: state of the art. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.
      https://hal.science/hal-02435975v1
    • [93] D. Ivanov, A. Dolgui, B. Sokolov, M. Ivanova. Intellectualization of control: cyber-physical supply chain risk analytics. In IFAC-PapersOnLine ; éd. Elsevier, 2019, vol. 52, num. 13.
      https://hal.science/hal-02435980v1
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      https://hal.science/hal-02435974v1
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      https://hal.science/hal-00387682v1
    • [292] A. Bratcu, A. Dolgui. Une généralisation du Modèle Normatif des lignes auto-équilibrées ("bucket brigades"). In Journal Européen des Systèmes Automatisés (JESA) ; éd. Lavoisier, 2007, vol. 41, num. 3-4.
      https://hal.science/hal-00387658v1
    • [293] A. Dolgui, C. Prodhon. Supply planning under uncertainties in MRP environments: A state of the art. In Annual Reviews in Control ; éd. Elsevier, 2007, vol. Volume 31, num. Issue 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00675845v1
    • [294] A. Dolgui, G. Morel. Special Section: Advances in Manufacturing Systems and Logistics. In Annual Reviews in Control ; éd. Elsevier, 2007, vol. 31, num. 1.
      https://hal.science/hal-00163166v1
    • [295] F. Hnaien, A. Dolgui, H. Marian, M. Ould Louly. Planning order release dates for multilevel linear supply chain with random lead times. In Systems Science, vol. 31, num. 1. 2007
      https://hal.science/hal-00387663v1
    • [297] S. Belmokhtar, A. Dolgui, X. Delorme, I. Ignatenko. Optimizing modular machining line design problem with mixed activation mode of machining units. In Decision Making in Manufacturing and Services, vol. 1, num. 1-2. 2007
      https://hal.science/hal-00387657v1
    • [298] V. Demidenko, A. Dolgui. Effectively solvable cases of the quadratic assignment problem with generally monotonous and incomplete matrices. In Cybernetics and Systems Analysis ; éd. Springer Verlag, 2007, vol. 43, num. 1.
      https://hal.science/hal-00387659v1
    • [299] A. Dolgui, N. Guschinsky, G. Levin. Optimization of Power Transmission Systems Using a Multi-Level Decomposition Approach. In RAIRO - Operations Research ; éd. EDP Sciences, 2007, vol. 41, num. 02.
      https://hal.science/hal-00387660v1
    • [300] A. Dolgui, A. Eremeev, V. Sigaev. HBBA : Hybrid Algorithm for Buffer Allocation in Tandem Production Lines. In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2007, vol. 18, num. 3.
      https://hal.science/hal-00387662v1
    • [301] A. Dolgui, A. Eremeev, V. Gordon, A. Kolokolov. Special Issue on Discrete Optimization Methods in Production and Logistics (dedicated to workshop DOM'04). In Journal of Mathematical Modelling and Algorithms ; éd. Springer Verlag, 2006, vol. 5, num. 2.
      https://hal.science/hal-00387638v1
    • [302] A. Dolgui, A. Pashkevich. Cluster-level operations planning for the out-of-position robotic arc-welding. In International Journal of Production Research ; éd. Taylor & Francis, 2006, vol. 44, num. 4.
      https://hal.science/hal-00387646v1
    • [303] A. Dolgui, B. Finel, N. Guschinsky, G. Levin, F. Vernadat. MIP Approach to Balancing Transfer Lines with Blocks of Parallel Operations. In IIE Transactions ; éd. Taylor & Francis, 2006, vol. 38.
      https://hal.science/hal-00387642v1
    • [304] A. Dolgui, B. Finel, O. Battaïa, N. Guschinsky, G. Levin, F. Vernadat. Balancing large-scale machining lines with multi-spindle heads using decomposition. In International Journal of Production Research ; éd. Taylor & Francis, 2006, vol. 44, num. 18-19.
      https://hal.science/hal-00387643v1
    • [306] A. Dolgui, N. Guschinsky, G. Levin. A Decomposition Method for Transfer Line Life Cycle Cost Optimisation. In Journal of Mathematical Modelling and Algorithms ; éd. Springer Verlag, 2006, vol. Volume 5, num. Number 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00675875v1
    • [307] A. Dolgui, N. Guschinsky, G. Levin. A Decomposition Method for Transfer Line Life Cycle Cost Optimization. In Journal of Mathematical Modelling and Algorithms ; éd. Springer Verlag, 2006, vol. 5, num. 2.
      https://hal.science/hal-00387644v1
    • [308] A. Dolgui, N. Guschinsky, G. Levin. A Special Case of Transfer Lines Balancing by Graph Approach. In European Journal of Operational Research ; éd. Elsevier, 2006, vol. 168, num. 3.
      https://hal.science/hal-00387645v1
    • [309] A. Dolgui. Feature Issue on Balancing Assembly and Transfer Lines. In European Journal of Operational Research ; éd. Elsevier, 2006, vol. 168, num. 3.
      https://hal.science/hal-00387637v1
    • [310] S. Belmokhtar, A. Dolgui, N. Guschinsky, G. Levin. Integer programming models for logical layout design of modular machining lines. In Computers & Industrial Engineering ; éd. Elsevier, 2006, vol. 51, num. 3.
      https://hal.science/hal-00387641v1
    • [311] Y. Sotskov, A. Dolgui, M. Portmann. Stability analysis of an optimal balance for an assembly line with fixed cycle time. In European Journal of Operational Research ; éd. Elsevier, 2006, vol. 168, num. 3.
      https://hal.science/hal-00387647v1
    • [312] A. Dolgui, A. Eremeev, V. Gordon, A. Kolokolov. Guest Editorial. Discrete Optimization Methods in Production and Logistics. In Journal of Mathematical Modelling and Algorithms ; éd. Springer Verlag, 2006, vol. Volume 5, num. Number 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00675870v1
    • [313] A. Dolgui, B. Finel, O. Battaïa, N. Guschinsky, G. Levin, F. Vernadat. Balancing large-scale machining lines with multi-spindle heads using decomposition. In International Journal of Production Research ; éd. Taylor & Francis, 2006, vol. 44, num. 18-19.
      https://hal.science/hal-00512895v1
    • [314] A. Bratcu, A. Dolgui. A Survey of the Self-Balancing Production Lines ("Bucket Brigades"). In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2005, vol. 16, num. 2.
      https://hal.science/hal-00387629v1
    • [315] A. Dolgui, B. Finel, N. Guschinsky, G. Levin, F. Vernadat. A heuristic approach for transfer lines balancing. In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2005, vol. 16, num. 2.
      https://hal.science/hal-00387630v1
    • [316] A. Dolgui, I. Ignatenko, S. Belmokhtar. Machining lines with multi-spindle stations : a new optimisation problem. In The International Journal of INGENIUM, num. 2. 2005
      https://hal.science/hal-00387625v1
    • [317] A. Dolgui, O. Battaïa, N. Guschinsky, G. Levin. Conception de systèmes de fabrication : prototype d'un logiciel d'aide à la décision. In Journal of Decision Systems ; éd. Routledge Taylor & Francis Group, 2005, vol. 14, num. 4.
      https://hal.science/hal-00387624v1
    • [318] A. Dolgui. Design and balancing of automated manufacturing lines. In Izvestia Ingenernoj Akademii Belarusi (Proceedings of the Academy of Engineering of Belarus), vol. 5, num. 1 (19). 2005
      https://hal.science/hal-00387628v1
    • [320] A. Dolgui. Special Issue of the Journal of Intelligent Manufacturing (JIM) dedicated to Supply Chain Management (SCM'02). In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2005, vol. 16, num. 2.
      https://hal.science/hal-00387622v1
    • [321] M. Ould Louly, A. Dolgui, G. Levin, M. Louly. Decomposition approach for a problem of lot-sizing and sequencing under uncertainties. In International Journal of Computer Integrated Manufacturing ; éd. Taylor & Francis, 2005, vol. 18, num. 5.
      https://hal.science/hal-00387627v1
    • [322] O. Zaikin, A. Dolgui, E. Kushtina, P. Korytkowski. Optimization of capacity in an integible production. In Control Sciences, num. 6. 2005
      https://hal.science/hal-00387626v1
    • [323] S. Dauzère-Pérès, A. Dolgui. Decision Support for Industrial Engineering and Logistics. In Journal of Decision Systems ; éd. Routledge Taylor & Francis Group, 2005, vol. 14, num. 4.
      https://hal.science/hal-00387621v1
    • [324] A. Pashkevich, A. Dolgui, O. Chumakov. Multiobjective optimization of robot motion for laser cutting applications. In International Journal of Computer Integrated Manufacturing ; éd. Taylor & Francis, 2004, vol. 17, num. 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00704688v1
    • [325] M. Louly, A. Dolgui. Une méthode arborescente pour la planification des réapprovisionnements. In Journal Européen des Systèmes Automatisés (JESA) ; éd. Lavoisier, 2004, vol. 38, num. 7-8.
      https://hal-emse.ccsd.cnrs.fr/emse-00704500v1
    • [329] A. Dolgui, N. Guschinsky, G. Levin. Decomposition Method to Optimise the Structure and Parameters of Transfer Line with Parallel and Sequential Machining. In The Annals of University “Dunarea de Jos” of Galati, Fascicle III Electrotechnics, Electronics, Automatic Control and Informatics ; éd. Universitatea Dunarea de Jos, 2003, vol. 2003, num. 1.
      https://hal-emse.ccsd.cnrs.fr/emse-00709981v1
    • [330] A. Pashkevich, A. Dolgui, K. Semkin. Kinematic aspects of a robot-positioner system in an arc welding application. In Control Engineering Practice ; éd. Elsevier, 2003, vol. 11, num. 6.
      https://hal-emse.ccsd.cnrs.fr/emse-00704692v1
    • [332] A. Dolgui, O. Chumakov, O. Zaikin, E. Kushtina, P. Koritkowski. Modeling and Optimization of the Throughput of the Processing Nodes in Computer-aided Control Systems of Distributed Production of Printer Matter. In Automation and Remote Control / Avtomatika i Telemekhanika ; éd. MAIK Nauka/Interperiodica, 2003, vol. 64, num. 9.
      https://hal-emse.ccsd.cnrs.fr/emse-00704690v1
    • [333] A. Dolgui, N. Guschinsky, Y. Harrath, G. Levin. Une approche de programmation linéaire pour la conception des lignes de transfert. In Journal Européen des Systèmes Automatisés (JESA) ; éd. Lavoisier, 2002, vol. 36, num. 1.
      https://hal-emse.ccsd.cnrs.fr/emse-00704557v1
    • [335] B. Rekiek, A. Dolgui, A. Delchambre, A. Bratcu. Unit-tiState of art of optimization methods for assembly line designme Job-shop Scheduling via Mixed Graph Coloring. In Annual Reviews in Control ; éd. Elsevier, 2002, vol. 26, num. 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00704616v1
    • [337] M. Ould Louly, A. Dolgui. Generalized newsboy model to compute the optimal planned lead times in assembly systems. In International Journal of Production Research ; éd. Taylor & Francis, 2002, vol. 40, num. 17.
      https://hal-emse.ccsd.cnrs.fr/emse-00704620v1
    • [338] A. Dolgui, A. Ereemev, A. Kolokolov, V. Sigaev. A Genetic Algorithm for the Allocation of Buffer Storage Capacities in a Production Line with Unreliable Machines. In Journal of Mathematical Modelling and Algorithms ; éd. Springer Verlag, 2002, vol. 1, num. 2.
      https://hal-emse.ccsd.cnrs.fr/emse-00704538v1
    • [341] A. Dolgui. On a Model of Joint Control of Reserves in Automatic Control Systems of Production. In Automation and Remote Control / Avtomatika i Telemekhanika ; éd. MAIK Nauka/Interperiodica, 2001, vol. 62, num. 12.
      https://hal-emse.ccsd.cnrs.fr/emse-00704697v1

Revues nationales avec comité de lecture (ART_NAT)

    • [342] A. Dolgui, G. Levin, B. Rozin. Structural-Parametric Optimization of a Complex of Intersecting Sets of Operations under Nonstationary Demand. In Automation and Remote Control / Avtomatika i Telemekhanika ; éd. MAIK Nauka/Interperiodica, 2020, vol. 81, num. 5.
      https://hal.science/hal-02572112v1
    • [343] A. Dolgui, V. Eremeev, V. Sigaev. Анализ задачи многокритериальной оптимизации емкости бункеров в производственной линии. In Automation and Remote Control / Avtomatika i Telemekhanika ; éd. MAIK Nauka/Interperiodica, 2017, vol. 78, num. 7.
      https://hal.science/hal-01687931v1
    • [344] G. Levin, B. Rozin, A. Dolgui. Оптимизация агрегирования и режимов последовательно-параллельного выполнения пересекающихся множеств операций. In Informatics ; éd. National Academy of Sciences of Belarus, 2016, num. 1 (49).
      https://hal.science/hal-01313336v1
    • [345] A. Dolgui, A. Quilliot, V. Kotov. A Parametric Scheme for Online Uniform-Machine Scheduling. In BULETINUL ACADEMIEI DE STIINTE A REPUBLICII MOLDOVA. MATEMATICA, vol. 79, num. 3. 02-03-2016
      https://hal.science/hal-01435662v1
    • [346] G. Levin, B. Rozin, A. Dolgui. Optimising the output and intensity of processing a batch of part under non-stationary demand. In Vesti AN Belarusi (Proceedings of Belarusian National Academy of Sciences): ser. ph.-math. navuk ; éd. National Academy of Sciences of Belarus, 2016, num. 3.
      https://hal.science/hal-01435669v1
    • [347] N. Guschinsky, O. Battaïa, A. Dolgui. MIP model for synthesis of manufacturing process structure for sequential bath machining at flow line of stationary machines. In Informatika ; éd. National Academy of Sciences of Belarus, 2016, num. 2 (50).
      https://hal.science/hal-01435670v1
    • [348] M. Bentaha, A. Voisin, P. Marangé, O. Battaïa, A. Dolgui. Prise en compte de l'état des produits pour la planification de leur désassemblage. In Journal Européen des Systèmes Automatisés (JESA) ; éd. Lavoisier, 2016, vol. 49, num. 4-5.
      https://hal.science/hal-01280878v1
    • [349] N. Guschinsky, A. Dolgui, O. Battaïa. On optimization of process for sequential machining. In Vesti AN Belarusi (Proceedings of Belarusian National Academy of Sciences): ser. ph.-math. navuk ; éd. National Academy of Sciences of Belarus, 2016, num. 4.
      https://hal.science/hal-01435666v1
    • [351] V. Gordon, A. Dolgui, V. Strusevich. Schedules with precedence restriction and position-dependent servicing durability. In Doklady of the national academy of sciences of Belarus, vol. vol. 54, num. n°4. 2010
      https://hal-emse.ccsd.cnrs.fr/emse-00676028v1
    • [353] Y. Sotskov, A. Dolgui, M. Portmann. Stability analysis of optimal balance for assembly line with fixed cycle time. In European Journal of Operational Research ; éd. Elsevier, 2003.
      https://inria.hal.science/inria-00099743v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [354] D. Sanchez, A. Cerqueus, A. Dolgui, K. Habibi. Multi-objective sustainable crowdshipping with different types of occasional drivers. In 25ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, mars 2024, Amiens, France.
      https://hal.science/hal-04782281v1
    • [355] M. Chaikovskaia, A. Cerqueus, A. Dolgui. Optimisation du cycle de vie d'un système manufacturier reconfigurable. In 25ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, mars 2024, Amiens, France.
      https://hal.science/hal-04782707v1
    • [356] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui, A. Siadat. A multi-objective approach to design a scalable reconfigurable assembly line in an uncertain environment. In 27th International Conference on Multiple Criteria Decision Making (MCDM2024), juin 2024, Hammamet, Tunisie.
      https://hal.science/hal-04599793v1
    • [357] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui. Bi-objective based scalable balancing of a reconfigurable assembly line. In 33rd European Conference on Operational Research (EURO 2024), juin 2024, Copenhague, Danemark.
      https://hal.science/hal-04631246v1
    • [358] B. Bettayeb, O. Ben-Ammar, I. Slama, A. Dolgui. Bi-Objective Multi-Period Multi-Sourcing Supply Planning with Stochastic Lead-Times, Degressive Pricing, and Carbon Footprint *. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), juillet 2024, Vallette, Malte.
      https://imt-mines-ales.hal.science/hal-04755968v1
    • [359] I. Slama, T. Arbaoui, F. Hnaien, O. Ben-Ammar, B. Bettayeb, A. Dolgui. Simultaneous Backward Reduction algorithm for disassembly lot-sizing under random ordering lead time. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), juillet 2024, Vallette, Malte.
      https://imt-mines-ales.hal.science/hal-04756016v1
    • [360] O. Ben-Ammar, B. Bettayeb, I. Slama, A. Dolgui. Supplier Selection Considering Flexibility, Order Splitting, and Uncertainty of lead times. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), juillet 2024, Vallette, Malte.
      https://imt-mines-ales.hal.science/hal-04755948v1
    • [361] A. Dolgui. Replenishment planning in supply chains under uncertainties of component lead times. In Seminar of Hestim, mai 2023, Casablanca, Maroc.
      https://hal.science/hal-04418396v1
    • [362] A. Dolgui. Combinatorial optimization for preliminary design of machiningsystems: advanced methods and applications. In IEEE IRASET conference, mai 2023, Mohammedia, Maroc.
      https://hal.science/hal-04418389v1
    • [363] A. Dolgui. AI based robust decision support systems in manufacturing: The European project ASSISTANT. In 2023 EDSI Annual Conference, juin 2023, Nantes, France.
      https://hal.science/hal-04418448v1
    • [364] A. Dolgui. ASSISTANT: LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments (H2020). In 8th IEEE Symposium on Analitics and Risk (ARTC 2023), juillet 2023, Pekin, Chine.
      https://hal.science/hal-04418429v1
    • [365] A. Dolgui. Presentation of the International Journal of Production Research (IJPR). In 2023 POMS international conference, juillet 2023, Paris, France.
      https://hal.science/hal-04418349v1
    • [366] M. Elyasi, S. Thevenin, A. Cerqueus, A. Dolgui. Managing Process Time Uncertainty in Mixed-Model Assembly Lines. In 2023 POMS international conference, juillet 2023, Paris, France.
      https://hal.science/hal-04420218v1
    • [367] D. Tremblet, S. Thevenin, A. Dolgui. Learning capacity consumption in multi-level capacitated lot-sizing problems. In International Workshop on Lot-Sizing-IWLS’2023, août 2023, Cork (Irlande), Irlande.
      https://hal.science/hal-04420932v1
    • [368] A. Dolgui. AI in Manufacturing: Example of a Large European Project ASSISTANT. In Science, Engineering Management and Information Technology (SEMIT 2023), septembre 2023, Ankara, Turquie.
      https://hal.science/hal-04418330v1
    • [369] D. Luo, S. Thevenin, A. Dolgui. Stochastic Optimization Methodology for Production Planning with Uncertain Demand and Lead Time Based on The Digital Twin. In SEMIT 2023, septembre 2023, Ankara, Turquie.
      https://hal.science/hal-04418624v1
    • [370] A. Dolgui. Presentation of the International Journal of Production Research. In IFIP APMS Production Management Systems for Responsible Manufacturing, Service and Logistics Future, septembre 2023, Trondheim, Norvège.
      https://hal.science/hal-04418442v1
    • [371] A. Dolgui. An overall presentation of the project ASSISTANT. In EFFRA Manufacturing Partenership Day, septembre 2023, Bruxelles, Belgique.
      https://hal.science/hal-04418413v1
    • [372] A. Dolgui, F. Sippl. ASSISTANT – Learning and robust decision support systems for agile manufacturing environments. In Here.We.Go - The Future Industry Forum of the French-German Academy of the Industry of the Future, octobre 2023, Munich, Allemagne.
      https://hal.science/hal-04418364v1
    • [373] A. Dolgui. Optimization and AI are key components of the industry of the future. In ICSIF 2023 Conference, Rabat, Marocco, October 24,, octobre 2023, Rabat, Maroc.
      https://hal.science/hal-04418399v1
    • [374] I. Slama, O. Ben-Ammar, S. Thevenin, A. Dolgui. Stochastic approaches for multi-echelon disassembly lot-sizing under random lead times. In CIE50 Proceedings, octobre 2023, Sharjah, émirats arabes unis.
      https://imt-mines-ales.hal.science/hal-04292083v1
    • [375] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui, A. Siadat. Simulated annealing for a bi-objective-based scalable balancing of a reconfigurable assembly line under uncertainty and limited resources. In 50th International Conference on Computers & Industrial Engineering (CIE50), octobre 2023, Sharjah, émirats arabes unis.
      https://hal.science/hal-04199608v1
    • [377] D. Luo, S. Thevenin, A. Dolgui. Stochastic optimization for multi-echelons multi-items capacitated lot-sizing problem under uncertain demand and capacity disruptions. In ODSIE 2023, novembre 2023, Istanbul, Turquie.
      https://hal.science/hal-04418616v1
    • [378] A. Dolgui. Models and Methods for Balancing Machining Lines Composed of Rotary Transfer Machines. In International Conference on Information Technologies in Industry, Logistics and the Social Sphere, septembre 2023, Minsk, Bélarus.In United Institute of Informatics of the National Academy of Sciences of Belarus (éds.), . , 2023.
      https://hal.science/hal-04418371v1
    • [379] A. Dolgui. LeArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments (ASSISTANT). In The 20th IEEE International Conference on Networking, Sensing and Control, octobre 2023, Marseille, France.In IEEE (éds.), . , 2023.
      https://hal.science/hal-04418376v1
    • [380] A. Dolgui. Keynote talk at Webinar in Hong Kong. Presentation of the European project Assistant - The ASSISTANT project: AI for high level decision in manufactuing. In Systems Analytics Global Leaders' Seminars - https://www.saleaders.hku.hk/, janvier 2022, Hong Kong, Chine.
      https://hal.science/hal-03982359v1
    • [381] A. Dolgui, O. Battaïa, N. Guschinsky. MIP based heurictics for Batch Machining at Rotary Transfer Machines. In IWSPE 2022: 22nd International Working Seminar on Production Economics, février 2022, Innsbruck, Autriche.
      https://hal.science/hal-03982347v1
    • [382] I. Dmitry, C. Weiwei, S. Boris, A. Dolgui, W. Frank, P. Semyon. IISE Transactions best paper award 2021: A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints. In IISE Annual 2022, Seattle, May 21-24, 2022, mai 2022, Seatle, états-Unis.
      https://hal.science/hal-03982326v1
    • [383] A. Dolgui, A. Eremeev, V. Sigaev. On Local Optima Distribution in Buffer Allocation Problem for Production Line with Unreliable Machines. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03982130v1
    • [384] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. A MILP-based heuristic approach for the design of multi-product modular reconfigurable lines. In 10th IFAC Conference on Manufacturing Modeling, Management and Control (MIM 2022), juin 2022, Nantes, France.
      https://hal.science/hal-03702256v1
    • [385] B. Loger, A. Dolgui, F. Lehuédé, G. Massonnet. Improving the Tractability of SVC-based Robust Optimization. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03832914v2
    • [386] B. Rolf, N. Mebarki, S. Lang, T. Reggelin, O. Cardin, A. Dolgui, H. Mouchère. Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03982239v1
    • [387] D. Ivanov, A. Dolgui, B. Sokolov, M. Ivanova. Integrated simulation-optimization modeling framework of resilient design and planning of supply chain networks. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03982135v1
    • [388] I. Slama, O. Ben-Ammar, D. Garcia, A. Dolgui. Two-stage stochastic program for disassembly lot-sizing under random ordering lead time. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03709633v1
    • [389] O. Ben-Ammar, A. Dolgui, F. Hnaien, M. Ould-Louly. Supply planning and inventory control under lead time uncertainty: a literature review and future directions. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03709647v1
    • [390] S. Hashemi-Petroodi, S. Thevenin, A. Dolgui. Predicting makespan in Flexible Job Shop Scheduling Problem using Machine Learning. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03832204v1
    • [391] S. Turki, O. Ben-Ammar, I. Slama, N. Rezg, A. Dolgui. Simulation and Optimisation of a Failure-Prone Disassembly-Reconditioning-Assembly System. In MIM 2022 - 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.
      https://hal.science/hal-03709643v1
    • [392] A. Dolgui, M. Kovalyov, B. Lin. FPTASes for Scheduling a Distributed Flow-shop of Maximizing Total Early Work (awarded as the best paper). In CMCT2022: 39th Workshop on Combinatorial Mathematics and Computation Theory, juin 2022, Taipei, Taïwan.
      https://hal.science/hal-03982287v1
    • [393] A. Dolgui. Keynote talk on Replenishment planning in supply chains under uncertainties of component lead times. In IEOM 2022: 5th European IEOM Rome Conference, juillet 2022, Rome, Italie.
      https://hal.science/hal-03982303v1
    • [394] M. Sarkar, B. Sarkar, A. Dolgui. An Automated Smart Production with System Reliability Under a Leader-Follower Strategy of Supply Chain Management. In APMS 2022: IFIP International Conference on Advances in Production Management Systems, septembre 2022, Gyeongju, Corée du Sud.
      https://hal.science/hal-03981929v1
    • [395] S. Hashemi-Petroodi, S. Thevenin, A. Dolgui. Mixed-Model Assembly Line Design with New Product Variants in Production Generations. In MIM 2022: 10th IFAC Conference on Manufacturing Modelling, Management and Control, juin 2022, Nantes, France.In Alexandre Dolgui (éds.), . , 2022.
      https://hal.science/hal-03928973v1
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    • [716] A. Dolgui, N. Guschinsky, G. Levin. Optimisation des machines d'usinage et des lignes de transfert. In Quatrièmes journées francophones de recherche opérationnelle FRANCORO 2004, août 2004, Fribourg, Suisse.
      https://hal-emse.ccsd.cnrs.fr/emse-00709850v1
    • [717] A. Dolgui, N. Guschinsky, G. Levin. Une Approche de plus court chemin pour l'optimisation des machines-outils. In 5e Conférence Francophone de MOdélisation et SIMulation "Modélisation et simulation pour l'analyse et l'optimisation des systèmes industriels et logistiques", septembre 2004, Nantes, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00704942v1
    • [718] L. Makdessian, A. Dolgui, F. Yalaoui. Quelques approches pour la minimisation du coût des lignes de transfert. In 5e Conférence Francophone de MOdélisation et SIMulation "Modélisation et simulation pour l'analyse et l'optimisation des systèmes industriels et logistiques", septembre 2004, Nantes, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00704955v1
    • [719] M. Louly, A. Dolgui. Une PSE pour l'optimisation de la Planification des réapprovisionnements des systèmes d'assemblage. In 5e Conférence Francophone de MOdélisation et SIMulation "Modélisation et simulation pour l'analyse et l'optimisation des systèmes industriels et logistiques", septembre 2004, Nantes, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00704929v1
    • [720] S. Belmokhtar, A. Dolgui, N. Guschinsky, I. Ihnatsenka, G. Levin. Optimization of transfer line by constraint programming approach. In 34th International Conference on Computer and Industrial Engineering, novembre 2004, San Francisco, états-Unis.
      https://hal-emse.ccsd.cnrs.fr/emse-00704725v1
    • [721] A. Dolgui, A. Pashkevich, M. Pashkevich, F. Grimaud. Forecasting risk analysis for supply chains with intermittent demand. In International Workshop Performance and Risk Measurement: Operations, Logistics and Supply Chains, décembre 2004, Milan, Italie.
      https://hal-emse.ccsd.cnrs.fr/emse-00704780v1
    • [722] E. Kushtina, A. Dolgui, B. Malachowski. Organization of the modeling and simulation of the discrete processes. In ACS-CISIM 2004, juin 2004, Bialystok, Pologne.In Khalid Saeed (éds.), Computer Information Systems and Applications (Proceedings of the ACS conference). , 2004.
      https://hal.science/hal-00387700v1
    • [723] A. Pashkevich, A. Dolgui, M. Pashkevich. Modelling And Monitoring of Correlated Faults in Redundant Computer Control Systems. In International conference on Intelligent Maintenance systems (IMS'04), juillet 2004, Arles, France.In K. Adjallah (éds.), Proceedings of the International conference on Intelligent Maintenance systems (IMS'04). , 2004.
      https://hal-emse.ccsd.cnrs.fr/emse-00704972v1
    • [724] A. Dolgui, N. Guschinsky, G. Levin. Heuristic Algorithms for Balancing Transfer Lines with Simultaneously Activated Spindles. In Workshop on Manufacturing Modelling, Management and Control MIM04, octobre 2004, , Grèce.In Chryssolouris & Mourtzis (éds.), Manufacturing, Modelling, Management and Control 2004, 1st Edition. Elsevier Science, 2004.
      https://hal-emse.ccsd.cnrs.fr/emse-00704772v1
    • [725] A. Bratcu, D. Dulman, A. Dolgui, I. Munteaunu. Optimal Motion Planning of Cooperative Mobile Robots in 2d Environments. In Conference Management and Control of Production and Logistics MCPL'04, novembre 2004, Santiago, Chili.In G. Lefranc (éds.), Proceedings of the conference Management and Control of Production and Logistics MCPL'04. Elsevier, 2004.
      https://hal-emse.ccsd.cnrs.fr/emse-00704888v1
    • [726] A. Dolgui, I. Ihnatsenka. Branch and Bound Algorithm for a Transfer Lines Balancing Problem. In Conference Management and Control of Production and Logistics MCPL'04, novembre 2004, Santiago, Chili.In G. Lefranc (éds.), Proceedings of the conference Management and Control of Production and Logistics MCPL'04. Elsevier, 2004.
      https://hal-emse.ccsd.cnrs.fr/emse-00704885v1
    • [727] V. Algin, E. Gimadi, A. Dolgui. Designing machines for a given volumes and types of jobs. In Mechanics of Machines : Theory and Applications, février 2003, Minsk, Bélarus.
      https://hal-emse.ccsd.cnrs.fr/emse-00705080v1
    • [728] A. Dolgui, N. Guschinsky, G. Levin. Utilisation d'un algorithme de plus court chemin pour l'optimisation des lignes de transfert. In 5ème Congrès de la société française de Recherche Operationnelle et d'Aide à la décision (ROADEF 2003), février 2003, Avignon, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00720886v1
    • [729] A. Dolgui, L. Makdessian, F. Yalaoui. Equipment Cost Minimization for Transfer Line with Blocks of Parallel Operations. In International Conference on Industrial Engineering and Production Management (IEPM'03), mai 2003, Porto, Portugal.
      https://hal-emse.ccsd.cnrs.fr/emse-00710175v1
    • [730] M. Ould Louly, A. Dolgui. An algorithm for the MRP parameterization under uncertainty. In International Conference on Industrial Engineering and Production Management (IEPM'03), mai 2003, Porto, Portugal.
      https://hal-emse.ccsd.cnrs.fr/emse-00710169v1
    • [731] A. Dolgui, A. Ereemev, A. Kolokolov, V. Sigaev. On some heuristic algorithms for buffers allocation problem. In Optimisation problems in economics, juillet 2003, Omsk, Russie.
      https://hal-emse.ccsd.cnrs.fr/emse-00712998v1
    • [732] A. Bratcu, L. Makdessian, A. Dolgui. Minimisation of equipment cost for transfer lines with blocks of parallel tasks. In 2003 IEEE International Symposium on Assembly and Task Planning (ISATP'03), juillet 2003, Besançon, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00710105v1
    • [733] A. Dolgui, N. Guschinsky, G. Levin. Balancing production lines composed by series of workstations with parallel operations blocks. In 2003 IEEE International Symposium on Assembly and Task Planning (ISATP'03), juillet 2003, Besançon, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00710124v1
    • [734] G. Levin, A. Dolgui, N. Guschinsky. Mathematical models and methods for balancing production lines with parallel blocks of operations at workstations. In 18th International Symposium on Mathematical Programming, août 2003, , France.
      https://hal-emse.ccsd.cnrs.fr/emse-00710562v1
    • [735] A. Dolgui, N. Guschinsky, G. Levin. Graph Approach for Transfer Lines Balancing: Exact and Heuristic Methods. In 3rd International Conference Research and Development in Mechanical Industry (RaDMI 2003), septembre 2003, Herceg Novi, Serbie-et-Monténégro.
      https://hal-emse.ccsd.cnrs.fr/emse-00710143v1
    • [736] A. Bratcu, A. Dolgui. Lignes auto-équilibrées : nouveau concept, analyse et modélisation. In 4ème Colloque Francophone sur la Modélisation des Systèmes Réactifs - MSR 2003, octobre 2003, Metz, France.
      https://hal-emse.ccsd.cnrs.fr/emse-00709974v1
    • [737] A. Pashkevich, A. Dolgui, K. Kazheunikau. Neural Network Technique For Collision Free Trajectory Syntheses For Robotic Manipulators. In IFAC International Conference on Intelligent Control Systems and Signal Processing, avril 2003, , France.In A.E.B Ruano, M.G. Ruano, P.J. Fleming (éds.), Proceedings of IFAC International Conference on Intelligent Control Systems and Signal Processing. Elsevier Science, 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710522v1
    • [738] A. Dolgui, B. Finel, N. Guschinsky, G. Levin, F. Vernadat. Some Optimization Approaches for Transfer Lines with Blocks of Parallel Operations. In 7th IFAC Symposium on Intelligent Manufacturing Systems, avril 2003, Budapest, Hongrie.In L. Monostori; B. Kadar; G. Morel (éds.), . Elsevier, 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710135v1
    • [739] A. Bratcu, A. Dolgui. Une relaxation du modèle normatif des lignes de production auto-équilibrées ("Bucket Brigades"). In Quatrième Conférence Francophone de Modélisation et Simulation "Organisation et Conduite d'Activités dans l'Industrie et les Services" (MOSIM'03), avril 2003, Toulouse, France.In Y. Dallery; J-C. Hennet; P. Lopez (éds.), Actes de la Quatrième Conférence Francophone de Modélisation et Simulation "Organisation et Conduite d'Activités dans l'Industrie et les Services" (MOSIM'03). SCS European Publishing House, 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710115v1
    • [740] M. Ould Louly, A. Dolgui. A branch and bound algorithm for supply planning. In IEEE/IMACS Multi-conference Computational Engineering in Systems Applications (CESA'2003), juillet 2003, Lille, France.In P. Borne, E. Craye, N. Dangoumau (éds.), . , 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710179v1
    • [741] A. Bratcu, A. Dolgui. Synergy, collaboration and self-balancing in production systems - the Bucket brigades. In IFAC International Workshop on Intelligent Assembly and Disassembly (IAD), octobre 2003, Bucharest, Roumanie.In Theodor Borangiu; Peter Kopacek (éds.), Intelligent Assembly and Disassembly A Proceedings Volume from the IFAC Workshop. Elsevier Science & Technology, 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710088v1
    • [742] B. Finel, A. Dolgui, F. Vernadat. Structuration des lignes de transfert à l'étape de leur conception préliminaire. In 5th International Industrial Engineering Conference "Industrial Engineering and the New Global Challenges", octobre 2003, Quebec, Canada.In D. Ait-Kadi; S. D'Amours (éds.), Proceedings of the 5th International Industrial Engineering Conference "Industrial Engineering and the New Global Challenges". , 2003.
      https://hal-emse.ccsd.cnrs.fr/emse-00710309v1
    • [747] A. Bratcu, A. Dolgui, L. Makdessian, F. Yalaoui. Balancing and Optimal Cost Resource Planning of Production lines with blocks of Parallel Tasks. In 1st CIRP, Seminar on Digital Enterprise Technology, septembre 2002, Durham, Royaume-Uni.
      https://utt.hal.science/hal-02798694v1
    • [748] A. Dolgui, P. Lacomme, D. Bekhouche. Discrete Event Simulation Model for Performances Analysis in an Industrial Case Study. In 13th European Simulation Symposium, 2001, Marseille, France.
      https://hal.science/hal-02082015v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [749] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui, A. Siadat. A literature review of optimization problems focused on scalability aspects for manufacturing systems. In 25th Congress of the French Society of Operations Research and Decision Aid (ROADEF 2024), mars 2024, Amiens, France.
      https://hal.science/hal-04451795v1
    • [750] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui, A. Siadat. A hyper-volume based metric for scalable design of reconfigurable manufacturing systems with multiple objectives. In 2nd Congress of the Society of Automatics, Industrial Engineering and Production (SAGIP 2024), mai 2024, Villeubanne, France.
      https://hal.science/hal-04531398v1
    • [751] B. Bettayeb, O. Ben-Ammar, A. Dolgui. Planification multi-période, multi-sourcing d'approvisionnements avec délais stochastiques, prix dégressifs et coûts de flexibilité de livraison. In ROADEF 2023 : 24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2023, Rennes, France.
      https://hal.science/hal-04006494v1
    • [752] B. Loger, G. Massonnet, F. Lehuédé, A. Dolgui, S. Minner, B. Sel. Robust inventory management under joint demand and lead time uncertainty. In ROADEF 2023 : 24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2023, Rennes, France.
      https://hal.science/hal-04011259v1
    • [753] D. Tremblet, S. Thevenin, A. Dolgui. Apprentissage de contraintes : résumé et application sur un problème de planification. In ROADEF 2023 : 24ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2023, Rennes, France.
      https://hal.science/hal-04074975v1
    • [754] M. Elyasi, S. Thevenin, A. Dolgui. Markov decision process for dynamic task assignment in mixed-model assembly lines under processes time uncertainty with moving workers and portable equipment. In ROADEF 2023: 24th annual congress of the French Society for Operational Research and Decision Support, février 2023, Rennes (Campus de Beaulieu), France.
      https://hal.science/hal-04420175v1
    • [755] S. Arbi, A. Derrien, E. Gurevsky, A. Dolgui, A. Siadat. Resource-constrained balancing of assembly lines to optimize their productivity and robustness in a reconfigurable environment. In 24th Congress of the French Society of Operations Research and Decision Aid (ROADEF 2023), février 2023, Rennes, France.
      https://hal.science/hal-03998121v1
    • [756] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. An extended MILP formulation for the design of modular multi-model reconfigurable manufacturing lines. In 23rd Congress of the French Society of Operations Research and Decision Aid (ROADEF 2022), février 2022, Villeurbanne, France.
      https://hal.science/hal-03595241v1
    • [757] B. Loger, A. Dolgui, F. Lehuédé, G. Massonnet. Approximation d'un ensemble d'incertitude pour l'optimisation robuste dirigée par les données. In ROADEF 2022 : 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2022, Villeurbanne - Lyon, France.
      https://hal.science/hal-03596172v1
    • [758] D. Tremblet, S. Thevenin, A. Dolgui. Apprentissage automatique de contraintes pour des problèmes de planification de production. In ROADEF 2022 : 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2022, Villeurbanne - Lyon, France.
      https://hal.science/hal-03596171v1
    • [759] I. Slama, B. Bettayeb, O. Ben-Ammar, A. Dolgui. Un problème de planification de désassemblage sous incertitude de rendement. In ROADEF 2022 : 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2022, Villeurbanne - Lyon, France.
      https://hal.science/hal-03595435v1
    • [760] I. Slama, O. Ben-Ammar, S. Thevenin, A. Dolgui. Une approche basée sur l'agrégation des scénarios pour résoudre un problème de planification de désassemblage sous incertitude des délais de remise à neuf. In ROADEF 2022 : 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2022, Villeurbanne - Lyon, France.
      https://hal.science/hal-03596245v1
    • [761] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. A MILP-based heuristic for minimizing the number of reassignments under balancing multi-model reconfigurable manufacturing lines. In 22nd Congress of the French Society of Operations Research and Decision Aid (ROADEF 2021), avril 2021, Mulhouse (on-line), France.
      https://hal.science/hal-03214189v1
    • [762] A. Yelles-Chaouche, E. Gurevsky, A. Dolgui, N. Brahimi. Optimizing task reassignments in the design of reconfigurable manufacturing lines. In 21st Congress of the French Society of Operations Research and Decision Aid (ROADEF 2020), février 2020, Montpellier, France.
      https://hal.science/hal-02485673v1
    • [763] X. Schepler, A. Dolgui, E. Gurevsky, A. Rossi. Résolution du problème de bin-packing robuste par un algorithme de branch-and-price. In 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2020), février 2020, Montpellier, France.
      https://hal.science/hal-02485676v1
    • [764] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. Newsboy problem with two-level disassembly system and stochastic lead time. In Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2020), mars 2020, Montpellier, France.
      https://hal.science/hal-02612213v1
    • [765] O. Battaïa, A. Dolgui, N. Guschinsky. MIP Models for optimal batch machining at flow lines with reconfigurable stationary machines. In 10th International Conference on IT in Industry, Logistics and Social domain (ITI’2019), Мinsk, Belarus, May 23–24, mai 2019, Minsk, Bélarus.
      https://hal.science/hal-02435988v1
    • [766] A. Pirogov, E. Gurevsky, A. Rossi, A. Dolgui. Enhanced MILP approach for maximizing the robustness of paced transfer lines with uncertain parallel tasks and fixed number of machines. In 19th Congress of the French Society of Operations Research and Decision Aid (ROADEF 2018), février 2018, Lorient, France.
      https://hal.science/hal-01713722v1
    • [767] O. Battaïa, A. Dolgui, N. Guschinsky. MIP approach for batch machining at flow lines with stationary machines. In Proceedings of the 8th International conference “Tanaev's Readings 2018”, mars 2018, Minsk, Bélarus.
      https://hal.science/hal-01979433v1
    • [768] X. Delorme, A. Dolgui, S. Kovalev, M. Kovalyov. Workforce planning for cyclic production of multiple parts on a paced line. In Proceedings of the 8th International conference “Tanaev's Readings 2018”, mars 2018, Minsk, Bélarus.
      https://hal.science/hal-01979435v1
    • [769] X. Delorme, A. Dolgui. Conception de systèmes de production reconfigurables/flexibles. In Colloque systèmes de production du futur, octobre 2018, Paris, France.
      https://hal.science/hal-01979455v1
    • [770] X. Schepler, A. Rossi, E. Gurevsky, A. Dolgui. Robust scheduling of assembly lines with and without parallel workstations. In 18th Congress of the French Society of Operations Research and Decision Aid (ROADEF 2017), février 2017, Metz, France.
      https://hal.science/hal-01474542v1
    • [771] M. Bentaha, O. Battaïa, A. Dolgui, P. Marangé, A. Voisin. Prise en compte des incertitudes pour une conception efficace d'une ligne de désassemblage. In 17e Congrès de la société française de recherche opérationnelle et aide à la décision, ROADEF’2016, février 2016, Compiègne, France.
      https://hal.science/hal-01313344v1
    • [772] A. Dolgui, A. Eremeev, V. Sygaev. On multiobjective buffer allocation problem in production line. In "Tanaev’s Readings”, mars 2016, Minsk, Bélarus.
      https://hal.science/hal-01435916v1
    • [773] O. Battaïa, N. Guschinsky, A. Dolgui. Genetic algorithm for the synthesis of process plans for group parallel machining on reconfigurable unit-head machines. In “Tanaev’s Readings”, mars 2016, Minsk, Bélarus.
      https://hal.science/hal-01435915v1
    • [774] M. Habibi, O. Battaïa, V. Cung, A. Dolgui. Combining Procurement and Disassembly Decisions for End-of-Life Product. In 16ème congrès de la société française de recherche opérationnelle et aide à la décision (ROADEF), février 2015, Marseille, France.
      https://hal-emse.ccsd.cnrs.fr/emse-01236705v1
    • [775] M. Habibi, O. Battaïa, V. Cung, A. Dolgui. Dealing with the collection and the disassembly planning for simple end-of-life product. In Journées Nationales/ Doctorales MACS 2015, juin 2015, Bourges, France.
      https://hal-emse.ccsd.cnrs.fr/emse-01236674v1
    • [777] A. Dolgui. Affectation optimale des opérateurs aux postes de travail dans une ligne de montage dans l'industrie automobile. In 19èmes journées STP du GdR MACS, avril 2014, Paris, France.
      https://hal-emse.ccsd.cnrs.fr/emse-01084353v1
    • [778] A. Rossi, E. Gurevsky, O. Battaïa, A. Dolgui. Maximisation du rayon de stabilité pour l'affectation d'opérations de durée incertaine sur une ligne d'assemblage. In 14ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2013), février 2013, Troyes, France.
      https://hal.science/hal-01721568v1
    • [779] E. Gurevsky, O. Battaïa, B. Detienne, A. Dolgui. Étude expérimentale de la sensibilité de configurations d'un système d'assemblage en présence de données incertaines. In 13ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2012), avril 2012, Angers, France.
      https://hal.science/hal-01721756v1
    • [780] E. Gurevsky, O. Hazir, A. Dolgui. Équilibrage robuste flexible de SALBP-1 avec les données incertaines. In 12ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2011), mars 2011, Saint-Étienne, France.
      https://hal.science/hal-01721751v1
    • [781] E. Gurevsky, O. Battaïa, A. Dolgui. Analyse de sensibilité pour le problème d'équilibrage des lignes d'assemblage de type SALBP-2. In 11ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2010), février 2010, Toulouse, France.
      https://hal.science/hal-01714810v1
    • [782] F. Hnaien, A. Dolgui. Le paramétrage du MRP sous incertitudes de délais d'approvisionnements et demande : le cas de système d'assemblage à un niveau. In 8e Conférence Internationale Modélisation et Simulation (MOSIM'10), mai 2010, Hammamet, Tunisie.
      https://hal-emse.ccsd.cnrs.fr/emse-00675645v1
    • [783] K. Shchamialiova, A. Dolgui, F. Grimaud. Une approche génétique pour un problème de lotissement et de séquencement sous aléas. In 8e Conférence Internationale Modélisation et Simulation (MOSIM'10), mai 2010, Hammamet, Tunisie.
      https://hal-emse.ccsd.cnrs.fr/emse-00675639v1
    • [784] A. Dolgui, M. Kovalyov, K. Shchamialiova. Lotissement et séquencement sur une machine imparfaite avec temps de changement de séries. In 10ème Congrès de la Société Française de Recherche Opérationnelle et Aide à la Décision - ROADEF 2009, février 2009, Nancy, France.
      https://hal.science/hal-00387774v1
    • [786] F. Hnaien, A. Dolgui, X. Delorme, H. Marian. Planification des réapprovisionnements d'un système d'assemblage à multi-niveau soumis aux aléas des délais d'approvisionnement par un algorithme génétique. In 9ème Congrès de la Société Française de Recherche Opérationnelle et Aide à la Décision - ROADEF 2008, février 2008, Clermont-Ferrand, France.
      https://hal.science/hal-00387772v1
    • [787] M. Essafi, X. Delorme, A. Dolgui. Une heuristique en deux phases pour l'équilibrage d'une ligne d'usinage avec set-up et machines parallèle. In 9ème Congrès de la Société Française de Recherche Opérationnelle et Aide à la Décision - ROADEF 2008, février 2008, Clermont-Ferrand), France.
      https://hal.science/hal-00387771v1
    • [788] A. Dolgui, B. Finel, N. Guschinsky, G. Levin, F. Vernadat. Best Paper Award of IIE Transactions on Design and Manufacturing. In IIE Annual Conference and Expo 2008, mai 2008, Vancouver, British Colombia, Canada.
      https://hal.science/hal-00387770v1
    • [789] A. Dolgui, N. Guschinsky, G. Levin. Optimisation des transmissions mécaniques complexes avec une structure en réseaux. In Conférence scientifique conjointe en Recherche Opérationnelle et Aide à la Décision FRANCORO V / ROADEF 2007, février 2007, Grenoble, France.
      https://hal.science/hal-00387767v1
    • [790] F. Hnaien, A. Dolgui. Planification d'une chaîne logistique linéaire multi-niveau soumis aux aléas des délais d'approvisionnements. In Conférence scientifique conjointe en Recherche Opérationnelle et Aide à la Décision FRANCORO V / ROADEF 2007, février 2007, Grenoble, France.
      https://hal.science/hal-00387769v1
    • [791] O. Battaïa, A. Dolgui. Une méthode exacte pour l'équilibrage de lignes d'usinage avec machines parallèles et changements d'outils. In Conférence scientifique conjointe en Recherche Opérationnelle et Aide à la Décision FRANCORO V / ROADEF 2007, février 2007, Grenoble,, France.
      https://hal.science/hal-00387768v1
    • [792] S. Belmokhtar, A. Dolgui. Modélisation de la configuration des lignes d'usinage avec équipements standard. In Conférence scientifique conjointe en Recherche Opérationnelle et Aide à la Décision FRANCORO V / ROADEF 2007, février 2007, Grenoble, France.
      https://hal.science/hal-00387765v1
    • [793] A. Dolgui. Configuration des lignes d'usinage avec équipement standard. In 2èmes Journées Nationales MACS, JN-MACS-2007, juillet 2007, Reims, France.
      https://hal.science/hal-00387766v1
    • [794] O. Battaïa, A. Dolgui. Une méthode hybride pour l'optimisation de lignes d'usinage. In 7ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2006, Lille, France.
      https://hal.science/hal-00387759v1
    • [795] S. Belmokhtar, A. Dolgui, X. Delorme. Conception préliminaire de lignes de transfert avec activation mixte des têtes d'usinage aux stations. In 7ème congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2006, Lille, France.
      https://hal.science/hal-00387758v1
    • [796] N. Guschinsky, A. Dolgui, G. Levin. Exact Methods for Design of Unit-Head Machines. In ECCO XIX - CO 2006 Joint Meeting, mai 2006, Porto, Portugal.
      https://hal.science/hal-00387760v1
    • [797] G. Levin, N. Guschinsky, A. Dolgui. Some Approaches To Balancing Production Lines With Blocks Of Parallel Operations At Stations. In EURO XXI in Iceland : 21st European Conference on Operational Research, juillet 2006, Reykjavik, Islande.
      https://hal.science/hal-00387761v1
    • [798] A. Dolgui, N. Guschinsky, G. Levin. Un exemple d'application des méthodes de la RO pour l'optimisation des transmissions mécaniques. In 6ème Congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF'05), février 2005, Tours, France.
      https://hal.science/hal-00387755v1
    • [799] M. Pashkevich, A. Dolgui. Heuristic algorithm for scheduling and commercial management of TV stations. In The European Chapter on Combinatorial Optimization ECCO XVIII 'Combinatorics for modern manufacturing, logistics and supply chains', mai 2005, Minsk, Bélarus.
      https://hal.science/hal-00387754v1
    • [800] N. Guschinsky, A. Dolgui, G. Levin. Constrained mixed graph colorings. In The European Chapter on Combinatorial Optimization ECCO XVIII 'Combinatorics for modern manufacturing, logistics and supply chains', mai 2005, Minsk, Bélarus.
      https://hal.science/hal-00387752v1
    • [801] O. Battaïa, A. Dolgui, N. Guschinsky, G. Levin. A combined optimization approach for machining transfer lines with blocks of operations. In The European Chapter on Combinatorial Optimization ECCO XVIII 'Combinatorics for modern manufacturing, logistics and supply chains', mai 2005, Minsk, Bélarus.
      https://hal.science/hal-00387753v1
    • [802] A. Dolgui, N. Guschinsky, G. Levin, X. Delorme. Exact and Heuristic Algorithms for Optimization of Transfer Lines with Multi-Spindle Stations. In 17th Triennial Conference of the International Federation of Operational Research Societies (IFORS), juillet 2005, Hawai, états-Unis.
      https://hal.science/hal-00387750v1
    • [803] G. Levin, A. Dolgui, N. Guschinsky. Balancing Paced Production Lines with Block of Parallel Operations at Stations. In 17th Triennial Conference of the International Federation of Operational Research Societies (IFORS), juillet 2005, Hawai, états-Unis.
      https://hal.science/hal-00387751v1
    • [804] K. Adjallah, A. Dolgui, Y. Castellani, M. Ould Louly. Modélisation et optimisation des stocks de rechanges d’un système industriel réparti. In 12e Colloque National de Fiabilité & Maintenabilité - λμ12, mars 2000, Montpellier, France.
      https://hal.univ-lorraine.fr/hal-03088674v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

    • [805] S. Hashemi Petroodi, S. Thevenin, A. Dolgui. The configuration of workforce and equipment in assembly lines:. In Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications. 26-06-2024
      https://hal.science/hal-04626084v1
    • [807] A. Dolgui, D. Ivanov, M. Peron, F. Sgarbossa. Expected trends in production networks for mass personalization in the cloud technology era. In Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology. 2022
      https://hal.science/hal-03982113v1
    • [808] A. Dolgui, D. Ivanov, B. Sokolov. Introduction to Supply Network Dynamics and Control. In Supply Network Dynamics and Control. 09-10-2022
      https://hal.science/hal-03981902v1
    • [809] M. Peron, F. Sgarbossa, D. Ivanov, A. Dolgui. Impact of Additive Manufacturing on Supply Chain Resilience During COVID-19 Pandemic. In Supply Network Dynamics and Control. 09-10-2022
      https://hal.science/hal-03981894v1
    • [811] D. Ivanov, B. Sokolov, A. Dolgui. Introduction to Scheduling in Industry 4.0 and Cloud Manufacturing Systems. In Scheduling in Industry 4.0 and Cloud Manufacturing. 09-06-2020
      https://hal.science/hal-03170855v1
    • [812] D. Ivanov, B. Sokolov, F. Werner, A. Dolgui. Proactive Scheduling and Reactive Real-Time Control in Industry 4.0. In Scheduling in Industry 4.0 and Cloud Manufacturing. 09-06-2020
      https://hal.science/hal-03170889v1
    • [813] O. Battaïa, L. Benyoucef, X. Delorme, A. Dolgui, S. Thevenin. Sustainable and Energy Efficient Reconfigurable Manufacturing Systems. In Reconfigurable Manufacturing Systems: From Design to Implementation. 20-10-2020
      https://hal.science/hal-03613417v1
    • [814] F. Makssoud, O. Battaïa, A. Dolgui. Multi-objective Approach and Model for Transfer Line Reconfigurations. In Reconfigurable Manufacturing Systems: From the Design to Implementation. 2020
      https://hal.science/hal-03170898v1
    • [815] O. Battaïa, L. Benyoucef, X. Delorme, A. Dolgui, S. Thevenin. Sustainable and Energy Efficient Reconfigurable Manufacturing Systems. In Reconfigurable Manufacturing Systems: From Design to Implementation. 2020
      https://hal-emse.ccsd.cnrs.fr/emse-02277938v1
    • [816] A. Cerqueus, X. Delorme, A. Dolgui. Analysis of the Scalability for Different Configurations of Lines. In Reconfigurable Manufacturing Systems: From Design to Implementation. 20-10-2020
      https://hal-emse.ccsd.cnrs.fr/emse-02333715v1
    • [818] D. Ivanov, A. Dolgui, B. Sokolov. Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives. In Handbook of Ripple Effects in the Supply Chain. 05-01-2019
      https://hal.science/hal-02435957v1
    • [819] D. Ivanov, A. Dolgui, A. Das, B. Sokolov. Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. In Handbook of Ripple Effects in the Supply Chain. 18-04-2019
      https://hal.science/hal-02434349v1
    • [820] F. Makssoud, O. Battaia, A. Dolgui. Multi-objective Approach and Model for Transfer Line Reconfigurations.. In Reconfigurable Manufacturing Systems: From Design to Implementation. 10-2019
      https://hal.science/hal-03422311v1
    • [821] O. Battaia, L. Benyoucef, X. Delorme, A. Dolgui, S. Thevenin. Sustainable and Energy Efficient Reconfigurable Manufacturing Systems. In Reconfigurable Manufacturing Systems: From Design to Implementation. 10-2019
      https://hal.science/hal-03422312v1
    • [822] D. Ivanov, A. Dolgui, M. Ivanova, B. Sokolov. Simulation vs optimization approaches to ripple effect modelling in the supply chain, Chapter 5. In Dynamics in Logistics, Freitag M., Kotzab H., Pannek J. (eds), LDIC 2018, Lecture Notes in Logistics (LNL). 18-02-2018
      https://hal.science/hal-01719522v1
    • [823] A. Dolgui, A. Eremeev, M. Kovalyov, V. Sigaev. Complexity of Bi-objective Buffer Allocation Problem in Systems with Simple Structure. In Optimization Problems and Their Applications. 17-06-2018
      https://hal.science/hal-01977539v1
    • [824] O. Ben-Ammar, F. Hnaien, H. Marian, A. Dolgui. Optimization Approaches for Multi-level Assembly Systems Under Stochastic Lead Times. In Metaheuristics for Production Systems. 2015
      https://hal-emse.ccsd.cnrs.fr/emse-01250864v1
    • [826] X. Delorme, O. Battaïa, A. Dolgui. Multi-objective Approaches for Design of Assembly Lines. In Applications of Multi-Criteria and Game Theory Approaches : Manufacturing and Logistics. 2014
      https://hal-emse.ccsd.cnrs.fr/emse-00880905v1
    • [827] M. Bentaha, O. Battala, A. Dolgui. A decomposition method for stochastic partial disassembly line balancing with profit maximization. 2013
      https://hal.science/hal-01963449v1
    • [828] M. Bentaha, O. Battaïa, A. Dolgui. A Stochastic Formulation of the Disassembly Line Balancing Problem. In Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services. 2013
      https://hal.science/hal-01963453v1
    • [829] M. Bentaha, O. Battaïa, A. Dolgui. Chance Constrained Programming Model for Stochastic Profit–Oriented Disassembly Line Balancing in the Presence of Hazardous Parts. In Advances in Production Management Systems. Sustainable Production and Service Supply Chains. 2013
      https://hal.science/hal-01963445v1
    • [834] A. Dolgui, O. Battaïa, N. Guschinsky, G. Levin. Decision Making and Support Tools for Design of Machining Systems. In Strategic Information Systems: Concepts, Methodologies, Tools, and Applications. 2010
      https://hal-emse.ccsd.cnrs.fr/emse-00673095v1
    • [836] A. Dolgui, F. Grimaud, K. Shchamialiova. Supply Chain Management under Uncertainties: Lot-sizing and Scheduling Rules. In Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management. 2010
      https://hal-emse.ccsd.cnrs.fr/emse-00673738v1
    • [837] A. Dolgui, M. Pashkevich. Beta-Binomial Model and Its Generalizations in the Demand Forecasting for Multiple Slow-Moving Items. In Forecasting Models - Methods and Applications. 2010
      https://hal-emse.ccsd.cnrs.fr/emse-00675806v1
    • [839] T. Potinecke, T. Rogowski, X. Boucher, A. Dolgui, S. Agoti, C. Stylios, P. Groumpos, C. Heavey, P. Liston, P. Byrne, S. Savador, M. Salvador. A View of SME Clusters and Networks in Europe. In A Road Map to the Development of European SME Networks : Towards a Collaborative Innovation. 2009
      https://hal.science/hal-00387794v1
    • [840] X. Boucher, A. Dolgui. A View of SME Clusters and Networks in Europe : Poles of Competitiveness in France. In A Road Map to the Developmenet of European SME Networks Towards Collaborative Innovation. 2009
      https://hal.science/hal-00405026v1
    • [842] A. Dolgui, O. Battaïa, N. Guschinsky, G. Levin. Decision Making and Support Tools for Design of Machining Systems. In Encyclopedia of Decision Making and Decision Support Technologies. 2008
      https://hal-emse.ccsd.cnrs.fr/emse-00673102v1
    • [843] A. Dolgui, O. Battaïa, N. Guschinsky, G. Levin. Decision-Making and Support Tools for Design of Transmission Systems. In Encyclopedia of Decision Making and Decision Support Technologies. 2008
      https://hal-emse.ccsd.cnrs.fr/emse-00673104v1
    • [845] A. Dolgui, M. Kovalyov, K. Shchamialiova. Lot-Sizing and Sequencing on a Single Imperfect Machine. In Modelling, Computation and Optimization in Information Systems and Management Sciences. 2008
      https://hal-emse.ccsd.cnrs.fr/emse-00679088v1
    • [846] A. Dolgui, N. Guschinsky, G. Levin. Decision Making and Support Tools for Design of Transmission Systems. In Encyclopedia of Decision Making and Decision Support Technologies. 2008
      https://hal.science/hal-00387793v1
    • [847] A. Pashkevich, A. Dolgui. Kinematic Control of a Robot-Positioner System for Arc Welding Application. In Industrial Robotics: Programming, Simulation and Applications. 2007
      https://hal.science/hal-00387790v1
    • [848] A. Dolgui, C. Morel, C. Pereira. Information Control Problems In Manufacturing 2006 : A Proceedings volume from the 12th IFAC International Symposium - Volume 2 : Industrial Engineering. 2006
      https://hal.science/hal-00387781v1
    • [849] A. Dolgui, G. Morel, C. Pereira. Information Control Problems In Manufacturing 2006 : A Proceedings volume from the 12th IFAC International Symposium - Volume 1 : Information Systems, Control and Interoperability. 2006
      https://hal.science/hal-00387780v1
    • [850] A. Dolgui, G. Morel, C. Pereira. Proceedings of the 12th Symposium INCOM'06 on Information Control Problems in Manufacturing, St Etienne, France 17-19 May, IFAC Publications, 3 volumes. 2006
      https://hal.science/hal-00163156v1
    • [855] A. Dolgui, C. Morel, C. Pereira. Information Control Problems In Manufacturing 2006 : A Proceedings volume from the 12th IFAC International Symposium - Volume 3 : Operational Research. 2006
      https://hal.science/hal-00387782v1
    • [857] A. Dolgui, J. Soldek, O. Zaikin. Supply chain optimisation : product/process design, facilities location and flow control - Series : Applied Optimization. 2005
      https://hal.science/hal-00387776v1
    • [858] M. Pashkevich, A. Dolgui. Consumer behavior robust modelling. In Supply chain optimisation : product/process design, facilities location and flow control. 2005
      https://hal.science/hal-00387786v1
    • [859] Y. Sotskov, A. Dolgui, N. Sotskova, F. Werner. Stability of optimal line balance with given station set. In Supply chain optimisation : product/process design, facilities location and flow control. 2005
      https://hal.science/hal-00387785v1
    • [860] A. Dolgui, M. Ould Louly, C. Prodhon. A survey on supply planning under uncertainties in MRP environments. In Selected Plenaries, Milestones and Surveys. 2005
      https://hal.science/hal-00387784v1
    • [861] E. Kushtina, A. Dolgui, B. Malachowski. Organization of the modeling and simulation of the discrete processes. In Information Processing and Security Systems. 2005
      https://hal.science/hal-00675855v1

Autres publications (AUTRES)

    • [865] A. Dolgui. Combinatorial design of manufacturing systems: new approaches and real life applications, (Invited plenary talk), 9th International conference on Network Analysis, NET’2019, Higher School of Economics, Moscow, May 18.
      https://hal.science/hal-02435970v1
    • [866] A. Dolgui. Combinatorial design of manufacturing systems: new approaches and real life applications, (Invited plenary talk), XI Summer School of Operational, Data and Decision Making (ORA’2019), Higher School of Economics, Nizhny Novgorod, May 21.
      https://hal.science/hal-02435972v1
    • [867] A. Dolgui. Replenishment planning in assembly systems under lead time uncertainty, (Invited plenary talk), XI Summer School of Operational, Data and Decision Making (ORA’2019), Higher School of Economics, Nizhny Novgorod, May 21.
      https://hal.science/hal-02435973v1
    • [868] A. Dolgui. Optimal replenishment planning in assembly systems under uncertainties of component lead times (Invited plenary talk), International Conference on Intelligent Transportation and Logistics with Big Data (ICITL 2019), 26 - 28 July 2019, Windsor, Canada.
      https://hal.science/hal-02435968v1
    • [869] A. Dolgui. Optimal supply planning in assembly systems under uncertainties of component replenishment lead times. (Invited plenary talk), 14th International Congress of Logistics and SCM Systems (ICLS 2019), August 19-22, 2019, Taipei, Taiwan.
      https://hal.science/hal-02435969v1
    • [870] A. Dolgui. Presentation of the International Journal of Production Research: Editor in Chief forum. The 9th Triennial IFAC Conference on Manufacturing Modelling, Management and Control (MIM 2019), Berlin, Germany, August 28 to 30.
      https://hal.science/hal-02435966v1
    • [871] A. Dolgui. Combinatorial optimization in the design of manufacturing systems: new problems and real life applications (Invited plenary talk), The 8th International Conference on Industrial Engineering and Systems Management (IESM 2019), September 25 – 27, Donghua University, Shanghai, China.
      https://hal.science/hal-02435967v1
    • [885] Y. Orlovich, A. Dolgui, G. Finke, V. Gordon, F. Werner. On the Complexity and Inapproximability of Dissociation Set Problems in Graphs. Rapport technique, 2010 ; --.
      https://hal.science/hal-00617117v1
    • [892] P. Borisovsky, X. Delorme, A. Dolgui. Solving one machining lines balancing problem with sequence dependent setup times as a set partitioning problem. Rapport technique, 2010 ; .
      https://hal-emse.ccsd.cnrs.fr/emse-00675702v1
    • [898] F. Hnaien, M. Louly, A. Dolgui, H. Marian. Approvisionnement en composants pour un système d'assemblage à deux niveaux. Rapport technique, 2009 ; Ecole des mines de Saint Etienne.
      https://hal-emse.ccsd.cnrs.fr/emse-00679811v1
    • [901] F. Hnaien, X. Delorme, A. Dolgui. A Supply Planning for Two-Level Assembly Systems with Random Lead Times: Genetic Algorithm. Rapport technique, 2008 ; Ecole des mines de Saint Etienne.
      https://hal-emse.ccsd.cnrs.fr/emse-00679825v1
    • [902] F. Hnaien, X. Delorme, A. Dolgui. Bi-objective optimization for supply planning of two-level assembly systems under uncertainty of lead times. Rapport technique, 2008 ; Ecole des mines de Saint Etienne.
      https://hal-emse.ccsd.cnrs.fr/emse-00679820v1
    • [906] F. Hnaien, A. Dolgui, M. Louly. Optimization of supply planning for multilevel production systems under lead time uncertainties. Rapport technique, 2007 ; Ecole des mines de Saint Etienne.
      https://hal-emse.ccsd.cnrs.fr/emse-00679846v1
    • [913] F. Hnaien, A. Dolgui, M. Louly. The optimal release dates in multi-level assembly systems with random lead times. Rapport technique, 2006 ; Ecole des mines de Saint Etienne.
      https://hal-emse.ccsd.cnrs.fr/emse-00679868v1
    • [914] L. Capacho, O. Battaïa, A. Dolgui, R. Pastor. A Comprehensive Comparative Analysis of Heuristic Methods for the Alternative Subgraphs Assembly Line Balancing Problem. Rapport technique, 2006 ; .
      https://hal-emse.ccsd.cnrs.fr/emse-00673480v1
    • [922] A. Dolgui, N. Guschinsky, G. Levin. Exact and Heuristic Algorithms for Balancing Transfer Lines with Simultaneously Activated Spindle Heads : A Computational Evaluation. Rapport technique, 2005 ; .
      https://hal-emse.ccsd.cnrs.fr/emse-00679922v1
    • [926] A. Dolgui, M. Pashkevich. Extended Beta-binomial Model for Demand Forecasting of Multiple Slow-Moving Items with Low Consumption and Short Requests History. Rapport technique, 2005 ; .
      https://hal-emse.ccsd.cnrs.fr/emse-00679895v1
    • [929] A. Dolgui, O. Battaïa, N. Guschinsky, G. Levin. Conception de machines-outils Prototype d'un Système d'Aide à la Décision. Rapport technique, 2005 ; .
      https://hal.science/hal-00673477v1
    • [931] A. Dolgui, M. Pashkevich. On Performance of Binomial and Beta-Binomial Models of Lead-time Demand Forecasting for Multiple Slow-Moving Items with Short Requests History. Rapport technique, 2005 ; .
      https://hal-emse.ccsd.cnrs.fr/emse-00679871v1
    • [934] S. Chauhan, A. Dolgui, J. Proth. Un modèle de réapprovisionnement dans un système d'assemblage avec délais de réapprovisionnement aléatoires. Rapport technique, 2003 ; INRIA.
      https://inria.hal.science/inria-00071784v1
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