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Automatisation des processusGénie industrielGestion de production

Expertises équipes

Ingénierie numérique appliquée aux systèmes industrielsIntelligence artificielle et optimisation pour les systèmes de productionPilotage, supervision et surveillance des systèmes industrielsSystèmes industriels cyber-physiques et industrie intelligente

Nasser Mebarki

HDR

Enseignant chercheur / Enseignante chercheuse – Professeur / professeure des universités

Equipe : CPS3

Employeur : Nantes Université

Expertises :

OrdonnancementSystèmes cyber-physiques de productionCoopération humain – machineOptimisation des systèmes industriels

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Publications déposées sur HAL

Nombre de publications retournées : 49

Revues internationales avec comité de lecture

[1] A. Shahzad, N. Mebarki. Data mining based job dispatching using hybrid simulation-optimization approach for shop scheduling problem, in Engineering Applications of Artificial Intelligence, vol. 25, no. 6, pp. 1173-1181, DOI

[2] 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, vol. 42, no. 5, pp. 457-468, DOI

[3] 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, vol. 146, pp. 199 – 207, DOI

[4] N. Mebarki, A. Shahzad. Correlation among tardiness-based measures for scheduling using priority dispatching rules, in International Journal of Production Research, vol. 51, no. 12, pp. 3688 – 3697, DOI

[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, vol. 24, no. 2, pp. 192–206, DOI

[6] A. Shahzad, N. Mebarki. Learning Dispatching Rules for Scheduling: A Synergistic View Comprising Decision Trees, Tabu Search and Simulation, in Computers, vol. 5, no. 1, pp. 3, DOI

[7] 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, vol. 12, no. 6, pp. 757, DOI

[8] 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, DOI

[9] Z. Yahouni, N. Mebarki, Z. Sari. Evaluation of a new decision-aid parameter for job shop scheduling under uncertainties, in RAIRO – Operations Research, vol. 53, no. 2, pp. 593-608, DOI

[10] E. Amann, A. Laurent, N. Mebarki. Load balancing in the mail sorting process: a case study at the French postal company La Poste, in International Journal of Production Research, DOI

Conférences internationales avec comité de lecture et actes

[11] J. Cegarra, N. Mebarki. Les compétences humaines de ré-ordonnancement, in 1er Colloque Gestion des Compétences et des Connaissances en Génie Industriel (GCCGI 2002), Nantes, France,

[12] 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), Montreal, Canada, DOI

[13] G. Pinot, M. Nasser. Best-case lower bounds in a group sequence for the job shop problem, in 17th IFAC World Congress, 2008, Seoul, Corée du Sud, DOI

[14] 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, Bucarest, Roumanie,

[15] 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, Lausanne, Suisse,

[16] 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), Montreal, Canada,

[17] 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, Moscou, Russie,

[18] 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, Bordeaux, France,

[19] 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, Blida, Algérie,

[20] 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, Nancy, France,

[21] 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, Tlemcen, Algérie,

[22] 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), Saint Julian's, Malte,

[23] 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), nantes, France, DOI

[24] 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), Oran, Algérie, DOI

[25] 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), Virtual Event, Canada, DOI

[26] 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, AGADIR (virtuel), Maroc,

[27] 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, Nantes, France, DOI

[28] 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, Yokohama, Japon, DOI

[29] 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, Vienne (AUT), France,

[30] 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), Vienne, Autriche, DOI

[31] A. Ghiles Hamiti, W. Bouazza, A. Laurent, N. Mebarki. L'énumération partielle dans la prédiction en ordonnancement dynamique d'un flowshop hybride, in 3ème congrès annuel de la SAGIP, Mulhouse (Haut-Rhin), France,

[32] E. Amann, E. Gurevsky, A. Laurent, N. Mebarki. Volume balancing in the mail sorting process at a French postal company, in 34th European Conference on Operational Research (EURO 2025), Leeds, Royaume-Uni,

[33] A. Hamiti, W. Bouazza, A. Laurent, N. Mebarki. Exploring the Partial Enumeration Problem for Dynamic Hybrid Flowshop Scheduling with Machine Learning, in 11th IFAC Conference on Manufacturing Modelling, Management and Control – IFAC MIM2025, Trondheim, Norvège, DOI

[34] E. Amann, A. Laurent, N. Mebarki. Vector bin-packing with variable items representations: Minimizing the number of mail sorting sessions at La Poste, in The 52nd International Conference on Computers and Industrial Engineering (CIE52), Lyon, France,

Conférences nationales avec comité de lecture et actes

[35] G. Pinot, M. Nasser. Coopération homme machine pour la mise en œuvre d'un ordonnancement de groupes, in ROADEF 2007, Grenoble, France,

[36] 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, Bucarest, Roumanie,

[37] J. Hoc, C. Guerin, N. Mebarki. The nature of expertise in scheduling : the case of university timetable design, in HOPS Final Conference, Lausanne, Suisse,

[38] G. Pinot, M. Nasser. Le meilleur des cas dans un ordonnancement de groupes, in ROADEF 2008, Clermont-Ferrand, France,

[39] 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, Clermont-Ferrand, France,

[40] G. Pinot, M. Nasser. Heuristiques pour le meilleur des cas dans un ordonnancement de groupes, in MOSIM' 2008, Paris, France,

[41] 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), Rennes, France,

[42] N. Mebarki, W. Bouazza, A. Ghiles Hamiti, A. Laurent, M. Kenani. Apprentissage automatique pour l'ordonnancement dynamique d'un atelier de production hybride basé sur une métaheuristique, in 2ème Congrès Annuel de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP 2024), Villeurbanne (France), France,

[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), Villeurbanne, France,

Ouvrages – Chapitres d'ouvrages et directions d'ouvrages

[44] R. Jan, J. Hoc, M. Nasser, C. Dimopoulos, W. Wout Van, G. Pinot. Design of scheduling algorithms : applications,

[45] R. Jan, J. Hoc, M. Nasser, D. Christos, W. Wout Van, P. Guillaume. Design of scheduling algorithms.,

[46] C. Artigues, J. Billaut, A. Cheref, N. Mebarki, Z. Yahouni. Robust Machine Scheduling Based on Group of Permutable Jobs, DOI

[47] 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, DOI

[48] E. Capawa-Fotsoh, N. Mebarki, P. Castagna, P. Berruet. A Classification for Reconfigurable Manufacturing Systems,

[49] E. Capawa Fotsoh, N. Mebarki, P. Castagna, P. Berruet, F. Gamboa. Towards a Reference Model for Configuration of Reconfigurable Manufacturing System (RMS), DOI

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