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Publication  de  la  collection  HAL LS2N-MODELIS  pour  2024

Nombre de publications retournées : 47

Récapitulatif du nombre de publications de la collection par types
ART_INT
COMM_INT
COMM_NAT
OUV
201782

Chiffres en cours de consolidation

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] J. Mortes, M. Cousineau, F. Lehuédé, J. Mendoza, M. Restrepo. Learning implicit multiple time windows in the Traveling Salesman Problem. In Transportation Research Procedia ; éd. Elsevier, 2024.
      https://hal.science/hal-04571639v1
    • [3] N. Brauner, E. Gurevsky, M. Kovalyov. A single representative min-max-min robust selection problem with alternatives and budgeted uncertainty. In Discrete Applied Mathematics, vol. 349. 2024
      https://hal.science/hal-04450968v1
    • [4] 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
    • [5] R. Shibasaki, A. Rossi, E. Gurevsky. A new upper bound based on Dantzig-Wolfe decomposition to maximize the stability radius of a simple assembly line under uncertainty. In European Journal of Operational Research, vol. 313, num. 3. 2024
      https://u-picardie.hal.science/hal-04192659v1
    • [6] T. Prunet, N. Absi, V. Borodin, D. Cattaruzza. Optimization of Human-Aware Manufacturing and Logistics Systems: A Comprehensive Review of Modeling Approaches and Applications. In EURO Journal on Transportation and Logistics ; éd. Springer, 2024.
      https://hal.science/hal-04616576v1
    • [7] 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
    • [8] 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
    • [9] H. Al Hasan, C. Guéret, D. Lemoine, D. Rivreau. A robust LP-based approach for a dynamic surgical case scheduling problem with sterilisation constraints. In International Journal of Production Research ; éd. Taylor & Francis, 2024.
      https://hal.science/hal-04402010v1
    • [10] 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
    • [11] A. Khannoussi, A. Olteanu, P. Meyer, B. Pasdeloup. A metaheuristic for inferring a ranking model based on multiple reference profiles. In Annals of Mathematics and Artificial Intelligence ; éd. Springer Verlag, 2024.
      https://imt-atlantique.hal.science/hal-04017642v2
    • [12] 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
    • [13] 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
    • [14] Y. He, M. Hewitt, F. Lehuédé, J. Medina, O. Péton. A continuous‐time service network design and vehicle routing problem. In Networks ; éd. Wiley, 2024, vol. 83, num. 2.
      https://hal.science/hal-04275977v1
    • [15] A. Khannoussi, A. Olteanu, P. Meyer, N. Benabbou. A regret-based query selection strategy for the incremental elicitation of the criteria weights in an SRMP model. In Operational Research ; éd. Springer, 2024, vol. 24, num. 2.
      https://imt-atlantique.hal.science/hal-04519903v1
    • [16] 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
    • [17] 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
    • [18] 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
    • [19] 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
    • [20] M. Elyasi, S. Thevenin, A. Cerqueus. Use of AI in assembly line design and worker and equipment management: review and future directions. In Flexible Services and Manufacturing Journal ; éd. Springer, 2024.
      https://hal.science/hal-04734583v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [21] 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
    • [22] H. Rezaei, S. Thevenin, A. Cerqueus. An integrated model for sustainable assembly line design: a focus on resource circularity and workforce efficiency. 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-04782289v1
    • [23] L. Baussay, A. Cerqueus, M. Hewitt, F. Lehuédé, J. Medina. Sélectionner des plans de livraison dans un problème de distribution à deux échelons avec équilibrage de charge. 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-04782691v1
    • [24] 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
    • [25] V. Borodin, V. Fischer, A. Roussy, C. Yugma. Scheduling Semiconductor Manufacturing Operations in Research and Development Environments. In ASMC 2024: 35th Annual SEMI Advanced Semiconductor Manufacturing Conference, mai 2024, Albany, états-Unis.
      https://hal.science/hal-04605647v1
    • [26] V. Spitzer, C. Gicquel, E. Gurevsky, F. Sanson. Day-ahead lot-sizing under uncertainty: An application to green hydrogen production. In 8th International Symposium on Combinatorial Optimization (ISCO 2024), mai 2024, La Laguna, Tenerife, Canary Islands, Espagne.
      https://hal.science/hal-04580335v1
    • [27] O. Ariztegui Beltran, D. Cortés-Murcia, W. Guerrero-Rueda, O. Péton. PI-Service network design for fluvial cargo transportation. In International Physical Internet Conference, mai 2024, Savannah, états-Unis.
      https://hal.science/hal-04688743v1
    • [28] 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
    • [29] Y. Jourdin, A. Khannoussi, A. Olteanu, P. Meyer. A Simulated Annealing Algorithm to Learn an RMP Preference Model. In Proceedings of the 15th Metaheuristics International Conference, juin 2024, Lorient, France.
      https://hal.science/hal-04619070v1
    • [30] 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
    • [31] V. Spitzer, C. Gicquel, E. Gurevsky, F. Sanson. Day-ahead lot-sizing under uncertainty: An application to green hydrogen production. In 33rd European Conference on Operational Research (EURO 2024), juin 2024, Copenhague, Danemark.
      https://hal.science/hal-04631245v1
    • [32] 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
    • [33] 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
    • [34] 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
    • [35] E. Amann, E. Gurevsky, A. Laurent, N. Mebarki. Minimizing the number of mail sorting sessions as a variant of vector bin-packing: A case study at La Poste. In 18th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2024), août 2024, Vienne, Autriche.
      https://hal.science/hal-04682816v1
    • [36] H. Rezaei, S. Thevenin, A. Cerqueus. A Mathematical Model Integrating Line Balancing, Equipment Selection, and Workforce Management. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), août 2024, Bari, France.
      https://hal.science/hal-04782720v1
    • [37] G. Joubert, F. Lehuédé, G. Massonnet, J. Medina. Integrating uncertain travel times in the Service Network Scheduling Problem with Hub Processing Capacities. In TSL 2024: 11th INFORMS Transportation Science and Logistics Society Workshop, septembre 2024, Nantes, France.
      https://hal.science/hal-04684768v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [38] G. Joubert, F. Lehuédé, G. Massonnet, J. Medina. Intégration d'incertitudes temporelles dans la planification d'un réseau de transport de marchandises à capacités limitées. 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-04683516v1
    • [39] R. Shibasaki, A. Rossi, E. Gurevsky. Dantzig-Wolfe decomposition for robust balancing of a simple assembly line under uncertainty. In 25th Congress of the French Society of Operations Research and Decision Aid (ROADEF 2024), mars 2024, Amiens, France.
      https://hal.science/hal-04451791v1
    • [40] 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
    • [41] V. Spitzer, C. Gicquel, E. Gurevsky, F. Sanson. Dimensionnement de lots de production un jour à l'avance sous incertitudes éoliennes : application à la production d'hydrogène vert. In 25ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2024), mars 2024, Amiens, France.
      https://hal.science/hal-04451786v1
    • [42] Y. Jourdin, A. Khannoussi, P. Meyer, A. Olteanu. Métaheuristiques pour l'apprentissage de modèles de classement basés sur des profils de références. In ROADEF 2024 : 25ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, mars 2024, Amiens, France.
      https://hal.science/hal-04630902v1
    • [43] E. Amann, A. Laurent, E. Gurevsky, N. Mebarki. Constitution optimale des sessions de tri du courrier à La Poste. In 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), mai 2024, Villeurbanne, France.
      https://hal.science/hal-04531525v1
    • [44] 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
    • [45] V. Spitzer, C. Gicquel, E. Gurevsky, F. Sanson. Dynamic two-stage programming for the stochastic lot-sizing problem with inventory bounds and lost sales. In Conference PGMO Days 2024, novembre 2024, Palaiseau, France.
      https://hal.science/hal-04768708v1

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

    • [46] M. Hewitt, F. Lehuédé. New Formulations for the Scheduled Service Network Design Problem with Piecewise Linear Costs. In Combinatorial Optimization and Applications. 28-06-2024
      https://hal.science/hal-04694006v1
    • [47] 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
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