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Nasser MEBARKI

ENSEIGNANT-CHERCHEUR

HDR

: Nasser.Mebarkiatls2n.fr

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Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [1] Z. Yahouni, N. Mebarki, Z. Sari. Evaluation of a new decision-aid parameter for job shop scheduling under uncertainties. In RAIRO - Operations Research ; éd. EDP Sciences, 2019, vol. 53, num. 2.
      https://hal.science/hal-01709666v1
    • [2] Z. Yahouni, N. Mebarki, F. Belkadi, A. Shahzad, A. Bernard. Human-machine cooperation in planning and scheduling: a case study on an unstable environment. In European Journal of Industrial Engineering ; éd. Inderscience, 2018, vol. 12, num. 6.
      https://hal.science/hal-01984203v1
    • [3] Z. Yahouni, N. Mebarki, Z. Sari. Tardiness minimization heuristic for job shop scheduling under uncertainties using group sequences. In International Journal of Intelligent Engineering Informatics ; éd. Inderscience Publishers, 2018.
      https://hal.science/hal-01709744v1
    • [4] A. Shahzad, N. Mebarki. Learning Dispatching Rules for Scheduling: A Synergistic View Comprising Decision Trees, Tabu Search and Simulation. In Computers ; éd. MDPI, 2016, vol. 5, num. 1.
      https://hal.science/hal-02014267v1
    • [5] J. Hoc, C. Guerin, N. Mebarki. The Nature of Expertise in Scheduling: The Case of Timetabling. In Human Factors and Ergonomics in Manufacturing and Service Industries ; éd. Wiley, 2014, vol. 24, num. 2.
      https://hal.science/hal-01160217v1
    • [6] O. Cardin, N. Mebarki, G. Pinot. A study of the robustness of the group scheduling method using an emulation of a complex FMS. In International Journal of Production Economics ; éd. Elsevier, 2013, vol. 146.
      https://nantes-universite.hal.science/hal-01115937v1
    • [7] N. Mebarki, A. Shahzad. Correlation among tardiness-based measures for scheduling using priority dispatching rules. In International Journal of Production Research ; éd. Taylor & Francis, 2013, vol. 51, num. 12.
      https://hal.science/hal-01740868v1
    • [8] A. Shahzad, N. Mebarki. Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem. In Engineering Applications of Artificial Intelligence ; éd. Elsevier, 2012, vol. 25, num. 6.
      https://hal.science/hal-03149283v1
    • [9] C. Guerin, J. Hoc, N. Mebarki. The nature of expertise in industrial scheduling: Strategic and tactical processes, constraint and object management. In International Journal of Industrial Ergonomics ; éd. Elsevier, 2012, vol. 42, num. 5.
      https://hal.science/hal-01160212v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [10] A. Ghiles Hamiti, W. Bouazza, A. Laurent, M. Nasser. Machine Learning prediction model for Dynamic Scheduling of Hybrid Flow-Shop based on Metaheuristic. In INCOM 2024, août 2024, Vienne (AUT), France.
      https://hal.science/hal-04726660v1
    • [11] 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
    • [12] E. Amann, E. Gurevsky, A. Laurent, N. Mebarki. Mail sorting optimization: a case study of the French postal company La Poste. In 22nd IFAC World Congress, juillet 2023, Yokohama, Japon.
      https://hal.science/hal-04122904v1
    • [13] 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
    • [14] A. Niati, C. Selma, D. Tamzalit, H. Bruneliere, N. Mebarki, O. Cardin. Towards a Digital Twin for Cyber-Physical Production Systems: A Multi-Paradigm Modeling Approach in the Postal Industry. In ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS '20 Companion), octobre 2020, Virtual Event, Canada.
      https://hal.science/hal-02925123v2
    • [15] E. Capawa Fotsoh, P. Castagna, N. Mebarki, P. Berruet. MODULARITY OF RMS: WHAT ABOUT THE AGGREGATION?. In 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020, novembre 2020, AGADIR (virtuel), Maroc.
      https://hal.science/hal-03177750v1
    • [16] N. Keddari, N. Mebarki, A. Shahzad, Z. Sari. Solving an Integration Process Planning and Scheduling in a Flexible Job Shop Using a Hybrid Approach. In 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA), mai 2018, Oran, Algérie.In Abdelmalek Amine (éds.), . Springer International Publishing, 2018.
      https://inria.hal.science/hal-01913923v1
    • [17] Z. Yahouni, N. Mebarki. A new HMI scheduling model implemented on a real manufacturing scheduling system. In 7th workshop on Service-Orientation in Holonic and Multi agent manufacturing (SOHOMA’2017), octobre 2017, nantes, France.
      https://hal.science/hal-01710260v1
    • [18] Z. Yahouni, N. Mebarki, Z. Sari. Minimizing tardiness for job shop scheduling under uncertainties. In 3rd International Conference on Control, Decision and Information Technologies (CoDIT’2016), avril 2016, Sain Julien, Malte.
      https://hal.science/hal-01740863v1
    • [19] Z. Yahouni, N. Mebarki, Z. Sari. Investigations on the flexibility of a Group Sequence and its effect on the Best-Case Schedule. In IEEE Third International Conference on Control, Engineering and Information Technology, mai 2015, Tlemcen, Algérie.
      https://hal.science/hal-01740842v1
    • [20] Z. Yahouni, N. Mebarki, Z. Sari. Une amélioration de la méthode exacte pour trouver le meilleur des cas dans un ordonnancement de groupes. In International Conference on Modeling and Simulation, septembre 2014, Blida, Algérie.
      https://hal.science/hal-01740847v1
    • [21] Z. Yahouni, N. Mebarki, Z. Sari. A NEW APPROACH FOR THE BEST-CASE SCHEDULE IN A GROUP SEQUENCE. In MOSIM 2014, 10ème Conférence Francophone de Modélisation, Optimisation et Simulation, novembre 2014, Nancy, France.
      https://hal.science/hal-01166589v1
    • [22] M. Souier, A. Hassam, Z. Sari, N. Mebarki. A NEW RELEASE OF MODIFIED DISSIMILARITY MAXIMIZATION METHOD FOR REAL TIME ALTERNATIVE ROUTING SELECTION IN AN FMS. In 9th International Conference on Modeling, Optimization & SIMulation, juin 2012, Bordeaux, France.
      https://hal.science/hal-00728689v1
    • [23] G. Pinot, N. Mebarki, J. Hoc. A new human-machine system for group sequencing. In International Conference on Industrial Engineering and Systems Management (IESM'2009), 2009, Montreal, Canada.
      https://hal.science/hal-00470368v1
    • [24] G. Pinot, M. Nasser. An exact method for the best case in a group sequence: Application to a general shop problem. In 13th IFAC Symposium on Information Control Problems in Manufacturing, juin 2009, Moscou, Russie.
      https://hal.science/hal-00410125v1
    • [25] G. Pinot, M. Nasser. Best-case lower bounds in a group sequence for the job shop problem. In 17th IFAC World Congress, 2008, juillet 2008, Seoul, Corée du Sud.
      https://hal.science/hal-00410124v1
    • [26] G. Pinot, M. Nasser, J. Hoc. Coopération homme-machine pour la mise en œuvre d'un ordonnancement de groupes. In Conférence Internationale Francophone d'Automatique (CIFA) 2008, septembre 2008, Bucarest, Roumanie.
      https://hal.science/hal-00409943v1
    • [27] G. Pinot, M. Nasser, J. Hoc. Cooperation between human and machine for shop scheduling under uncertainties. In Human and Organisational Factors in Planning and Scheduling Conference, septembre 2008, Lausanne, Suisse.
      https://hal.science/hal-00409950v1
    • [28] G. Pinot, O. Cardin, M. Nasser. A study on the group sequencing method in regards with transportation in an industrial FMS. In IEEE International Conference on Systems, Man, and Cybernetics (SMC2007), octobre 2007, Montreal, Canada.
      https://hal.science/hal-00410115v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [29] 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
    • [30] E. Amann, E. Gurevsky, N. Mebarki. Optimisation du tri du courrier: un cas d'étude à La Poste. In 24ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision (ROADEF 2023), février 2023, Rennes, France.
      https://hal.science/hal-03998128v1
    • [31] G. Pinot, N. Mebarki, J. Hoc. Coopération homme-machine pour la mise en œuvre d'un ordonnancement de groupe. In 5ème Conférence Internationale Francophone d'Automatique, 2008, Bucarest, Roumanie.
      https://hal.science/hal-00456834v1
    • [32] J. Hoc, C. Guerin, N. Mebarki. The nature of expertise in scheduling : the case of university timetable design. In HOPS Final Conference, 2008, Lausanne, Suisse.
      https://hal.science/hal-00456842v1
    • [33] G. Pinot, M. Nasser. Le meilleur des cas dans un ordonnancement de groupes. In ROADEF 2008, février 2008, Clermont-Ferrand, France.
      https://hal.science/hal-00409907v1
    • [34] G. Pinot, M. Nasser. Une étude sur l'ordonnancement de groupes par rapport aux temps de transport dans une chaîne de production. In ROADEF 2008, février 2008, Clermont-Ferrand, France.
      https://hal.science/hal-00409909v1
    • [35] G. Pinot, M. Nasser. Heuristiques pour le meilleur des cas dans un ordonnancement de groupes. In MOSIM' 2008, mars 2008, Paris, France.
      https://hal.science/hal-00409942v1
    • [36] G. Pinot, M. Nasser. Coopération homme machine pour la mise en œuvre d'un ordonnancement de groupes. In ROADEF 2007, février 2007, Grenoble, France.
      https://hal.science/hal-00409911v1

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

    • [37] E. Capawa Fotsoh, N. Mebarki, P. Castagna, P. Berruet, F. Gamboa. Towards a Reference Model for Configuration of Reconfigurable Manufacturing System (RMS). In Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems. 25-08-2020
      https://hal.science/hal-03536035v1
    • [38] E. Capawa-Fotsoh, N. Mebarki, P. Castagna, P. Berruet. A Classification for Reconfigurable Manufacturing Systems. In From Design to Implementation. Springer Series in Advanced Manufacturing. 20-10-2019
      https://hal.science/hal-02477943v1
    • [39] C. Selma, D. Tamzalit, N. Mebarki, O. Cardin, L. Bruggeman, D. Thiériot. Industry 4.0 and Service Companies: The Case of the French Postal Service. In Service Orientation in Holonic and Multi-Agent Manufacturing - Proceedings of SOHOMA 2018. 2018
      https://hal.science/hal-01982994v1
    • [40] C. Artigues, J. Billaut, A. Cheref, N. Mebarki, Z. Yahouni. Robust Machine Scheduling Based on Group of Permutable Jobs. In Robustness Analysis in Decision Aiding. 2016
      https://laas.hal.science/hal-01875889v1
    • [41] R. Jan, J. Hoc, M. Nasser, C. Dimopoulos, W. Wout Van, G. Pinot. Design of scheduling algorithms : applications. In Behavioral operations in planning and scheduling. 2010
      https://hal.science/hal-00521393v1
    • [42] R. Jan, J. Hoc, M. Nasser, D. Christos, W. Wout Van, P. Guillaume. Design of scheduling algorithms.. In Behavioral operations in planning and scheduling. 2010
      https://hal.science/hal-00521388v1
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