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Publication  de  la  collection  HAL LS2N-MODELIS  pour  2024

Nombre de publications retournées : 100

Récapitulatif du nombre de publications de la collection par types
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3948922

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, vol. 82.
      https://hal.science/hal-04571639v2
    • [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] S. Hashemi-Petroodi, Y. Mezghani, S. Thevenin, A. Dolgui. An adversarial approach for the mixed-model assembly line design with new product variants in production generations. In IFAC-PapersOnLine ; éd. Elsevier, 2024, vol. 58, num. 19.
      https://hal.science/hal-04925612v1
    • [7] 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
    • [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, vol. 36, num. 3.
      https://hal.science/hal-04556151v1
    • [9] 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, 2024, vol. 62, num. 3.
      https://hal.science/hal-04408423v1
    • [10] 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, 2024, vol. 62, num. 1-2.
      https://hal.science/hal-04313121v1
    • [11] 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, 2024, vol. 62, num. 1-2.
      https://hal.science/hal-04418169v1
    • [12] 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, vol. 62, num. 16.
      https://hal.science/hal-04402010v1
    • [13] 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, vol. 62, num. 17.
      https://imt-atlantique.hal.science/hal-04591724v1
    • [14] 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
    • [15] 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
    • [16] 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
    • [17] 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
    • [18] 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
    • [19] V. Bebien, O. Bellenguez, G. Coppin, A. Ma-Wyatt, R. Stephens. Ethical decision-making in human-automation collaboration: a case study of the nurse rostering problem. In AI and Ethics ; éd. Springer, 2024.
      https://hal.science/hal-04500402v2
    • [20] 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, 2024, vol. 56, num. 6.
      https://hal.science/hal-04232230v1
    • [21] 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
    • [22] 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, 2024, vol. 62, num. 10.
      https://hal.science/hal-04420067v1
    • [23] 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 [1991-....], 2024, vol. 272.
      https://hal.science/hal-04925572v1
    • [24] M. Boudhar, A. Dolgui, A. Haned, A. Kerdali, S. Kovalev, M. Kovalyov. A note on scheduling identical parallel machines with preemptions and setup times. In International Journal of Production Research ; éd. Taylor & Francis, 2024.
      https://hal.science/hal-04925497v1
    • [25] M. Khakifirooz, M. Fathi, A. Dolgui, P. Pardalos. Assessing resiliency in scale-free supply chain networks: a stress testing approach based on entropy measurements and value-at-risk analysis. In International Journal of Production Research ; éd. Taylor & Francis, 2024.
      https://hal.science/hal-04925496v1
    • [26] M. Liu, Y. Ding, F. Chu, A. Dolgui, F. Zheng. Robust actions for improving supply chain resilience and viability. In Omega ; éd. Elsevier, 2024, vol. 123.
      https://hal.science/hal-04232218v1
    • [27] 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 [1991-....], 2024, vol. 273.
      https://rennes-sb.hal.science/hal-04611910v1
    • [28] 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
    • [29] R. Shahabi-Shahmiri, R. Tavakkoli-Moghaddam, A. Dolgui, S. Mirnezami, M. Ghasemi, M. Ahmadi. Preemptive and non-preemptive multi-skill multi-mode resource-constrained project scheduling problems considering sustainability and energy consumption: A comprehensive mathematical model. In Journal of Environmental Management ; éd. Elsevier, 2024, vol. 367.
      https://hal.science/hal-04925494v1
    • [30] 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
    • [32] Y. He, A. Dolgui, M. Smith. An Algorithm for Part Input Sequencing of Flexible Manufacturing Systems with Machine Disruption. In Algorithms ; éd. MDPI, 2024, vol. 17, num. 10.
      https://hal.science/hal-04925493v1
    • [33] M. Khakifirooz, M. Fathi, A. Dolgui. Theory of AI-driven scheduling (TAIS): a service-oriented scheduling framework by integrating theory of constraints and AI. In International Journal of Production Research ; éd. Taylor & Francis, 2024.
      https://hal.science/hal-04925491v1
    • [34] A. Khannoussi, A. Rolland, J. Velcin. A multidimensional spatial model for preference representation in multi-criteria group decision aiding. In 4OR: A Quarterly Journal of Operations Research ; éd. Springer Verlag, 2024.
      https://hal.science/hal-04790727v1
    • [35] A. Dolgui, A. Eremeev, V. Sigaev. Fitness landscapes of buffer allocation problem for production lines with unreliable machines. In Computers and Operations Research ; éd. Elsevier, 2024, vol. 172.
      https://hal.science/hal-04925490v1
    • [36] A. Dolgui, S. Kovalev, M. Kovalyov. Scheduling electric vehicle regular charging tasks: A review of deterministic models. In European Journal of Operational Research ; éd. Elsevier, 2024.
      https://hal.science/hal-04925485v1
    • [37] Y. He, M. Smith, S. Thevenin, A. Dolgui. Dynamic workload balancing to part input sequencing for integrated scheduling decision-making of flexible manufacturing systems. In Computers & Industrial Engineering ; éd. Elsevier, 2024, vol. 198.
      https://hal.science/hal-04925488v1
    • [38] Y. Huang, W. Fang, A. Dolgui, Y. Pi, B. Zhang. Combat counterfeits effectively or not? Encroachment and financing strategies with production disruption risk. In International Transactions in Operational Research ; éd. Wiley, 2024.
      https://hal.science/hal-04925598v1
    • [39] C. Chaigneau, N. Bostel, A. Grimault. A Large Neighborhood Search-based approach to tackle the very large scale Team Orienteering Problem in industrial context. In Computers and Operations Research ; éd. Elsevier, 2024.
      https://univ-angers.hal.science/hal-04867422v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [40] M. Chaikovskaia, A. Cerqueus, A. Dolgui. Extending the life cycle of production system at the design phase. In The 23rd International Working Seminar on Production Economics, février 2024, Innsbruck, Autriche.
      https://hal.science/hal-04925781v1
    • [41] D. Sanchez, A. Cerqueus, A. Dolgui, K. Habibi. Multi-objective sustainable crowdshipping with different types of occasional drivers. 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-04782281v1
    • [42] H. Rezaei, S. Thevenin, A. Cerqueus. An integrated model for sustainable assembly line design: a focus on resource circularity and workforce efficiency. 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-04782289v1
    • [43] H. Tavakkoli-Moghaddam, A. Dolgui, S. Thevenin, . Hazir, M. Agi. Integration of Task Scheduling and Robot Mobility in Collaborative Assembly Line Balancing. 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-04926052v1
    • [44] 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 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-04782691v1
    • [45] M. Chaikovskaia, A. Cerqueus, A. Dolgui. Optimisation du cycle de vie d'un système manufacturier reconfigurable. 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-04782707v1
    • [46] O. Ariztegui Beltran, D. Cortés-Murcia, W. Guerrero-Rueda, O. Péton. Network design for freight transportation in a river network. 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-04973635v1
    • [47] P. Fleurance, O. Péton, M. Restrepo. Planification et routage d'infirmières à domicile sous incertitudes - Comparaison de deux modèles. In ROADEF 2024 : 25ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, mars 2024, Amiens (Université Picardie Jules Verne), France.
      https://hal.science/hal-04973596v1
    • [48] V. Senergues, N. Brahimi, F. Klein, O. Péton. Génération de colonnes pour un problème de découpe avec possibilité d'utilisation et revente de chutes. 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-04973466v1
    • [49] E. Hachimi, M. Tourad, M. Medsalem, A. Haouba, S. Thevenin, A. Dolgui. Maximizing Total Net Revenue for the Identical Parallel Machines Order Acceptance and Scheduling Problem with Sequence-Dependent Setup Times. In I2COMSAPP 2024: International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation, avril 2024, Nouakchott, Mauritanie.
      https://hal.science/hal-04925626v1
    • [50] 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
    • [51] A. Dolgui, S. Kovalev, M. Kovalyov. Scheduling Electric Vehicle Charging Tasks: A Review of Deterministic Models. In IISE: Annual Meeting and Expo, mai 2024, Montréal, Canada.
      https://hal.science/hal-04925774v1
    • [52] J. Mortes, M. Cousineau, F. Lehuédé, J. Mendoza, M. Restrepo. Algorithms for solving the On-Demand Bus Routing Problem with Bus Stops Assignment. In ODYSSEUS, mai 2024, Carmona, Espagne.
      https://hal.science/hal-04974225v1
    • [53] O. Péton, O. Ariztegui Beltran, D. Cortés-Murcia, W. Guerrero-Rueda. Service network design for freight transportation in a river network. In Odysseus 2024, mai 2024, Carmona, Espagne.
      https://hal.science/hal-04973543v1
    • [54] L. Baussay, F. Lehuédé, A. Cerqueus, J. Medina, M. Hewitt. Selecting Delivery Patterns in a Two-Echelon Distribution Problem with Load Balancing. In Odysseus 2024: 9th international workshop on freight transportation and logistics, mai 2024, Carmona, Espagne.
      https://hal.science/hal-04782109v1
    • [55] 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
    • [56] A. Dolgui. Design and control of reconfigurable and sustainable manufacturing systems – Reconfigurable. In 2e Congrès de la Société d'Automatique, de Génie Industriel et de Productique (SAGIP), mai 2024, Villerbanne, France.
      https://hal.science/hal-04925788v1
    • [57] 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
    • [58] V. Andre, D. Bédé, N. Bostel. De la création d’un hub multi-énergétique portuaire pour optimiser la décarbonation des activités portuaires et des transports amont/aval. In 15th Conference of the International Association for Research in Logistics and Supply Chain Management (AIRL-SCM), mai 2024, La Rochelle, France.
      https://hal.science/hal-04690046v1
    • [59] 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
    • [60] 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
    • [61] S. Arbi, A. Cerqueus, A. Dolgui, E. Gurevsky, A. Siadat. Bi-objective optimization for reconfigurable assembly line design under uncertainty. In Conference on Optimization, Analytics, and Decisions in the Big Data Era, in honor of the 70th birthday of Professor Panos M. Pardalos, juin 2024, Halkidiki, Grèce.
      https://hal.science/hal-04925787v1
    • [62] 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
    • [63] 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
    • [64] 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
    • [65] 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 10th International Conference on Control, Decision and Information Technologies (CoDIT 2024), juillet 2024, Vallette, Malte.
      https://imt-mines-ales.hal.science/hal-04756016v1
    • [66] 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
    • [67] P. Fleurance, O. Péton, M. Restrepo. Comparison of two optimization models for a nurse scheduling and routing problem under uncertainty. In 50TH ANNUAL MEETING OF THE EURO WORKING GROUP ON OPERATIONAL RESEARCH APPLIED TO HEALTH SERVICES, juillet 2024, Turin, Italie.
      https://hal.science/hal-04976538v1
    • [68] A. Dolgui. Optimal Planning under Lead Time Uncertainty: a plenary keynote talk. In 4th IEEE International Conference on Automation in Manufacturing, Transportation and Logistics (iCaMaL2024), Hong Kong, August 8, 2024, août 2024, Hong Kong, Chine.
      https://hal.science/hal-04925772v1
    • [69] G. Ghienne, O. Bellenguez, G. Massonnet, M. Restrepo. A Finite Automata Reduction Procedure to Improve MIP regular Formulations of Personnel Scheduling Problems. In 14th International Conference on the Practice and Theory of Automated Timetabling, août 2024, Copenhague, France.
      https://hal.science/hal-04938334v1
    • [70] D. Sanchez, A. Cerqueus, K. Habibi, A. Dolgui. Bi-objective Sustainable Crowdshipping with Multi Types of Occasional Drivers. In INCOM 2024: 18th IFAC Symposium on Information Control Problems in Manufacturing, août 2024, Vienne, Autriche.
      https://hal.science/hal-04782210v1
    • [71] D. Sanchez, A. Cerqueus, K. Habibi, A. Dolgui. Bi-objective Sustainable Crowdshipping with Multi Types of Occasional Drivers. In INCOM 2024: 18th IFAC Symposium on Information Control Problems in Manufacturing, août 2024, Vienne, Autriche.
      https://hal.science/hal-04925615v1
    • [72] D. Tremblet, S. Thevenin, A. Dolgui. Neural networks to approximate capacity consumption in lot-sizing models. In CASE 2024: IEEE 20th International Conference on Automation Science and Engineering, août 2024, Bari, Italie.
      https://hal.science/hal-04925495v1
    • [73] 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
    • [74] 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
    • [75] M. Chaikovskaia, A. Cerqueus, A. Dolgui. Optimizing of the Convertibility of Reconfigurable Manufacturing Systems. In INCOM 2024: 18th IFAC Symposium on Information Control Problems in Manufacturing, août 2024, Vienne, Autriche.
      https://hal.science/hal-04782225v1
    • [76] V. Bebien, O. Bellenguez, G. Coppin, A. Ma-Wyatt, R. Stephens. An interactive optimization method to promote ethics for Nurse Rostering. In PATAT 2024: 14th International Conference on the Practice and Theory of Automated Timetabling, août 2024, Copenhagen, Danemark.
      https://hal.science/hal-04938152v1
    • [77] B. Carvin, O. Bellenguez, G. Massonnet. Hybrid three-phase method for MRCPSP with generalized precedence and sequence dependent setup time. In International Conference on Operations Research 2024, septembre 2024, Munich (Allemagne), Allemagne.
      https://hal.science/hal-04945565v1
    • [78] H. Nozari, R. Tavakkoli-Moghaddam, A. Dolgui. Analysis of Critical Success Factors of Sustainable and Resilient Aioe-based Supply Chain in Industry 5.0. In APMS 2024: 43rd IFIP WG 5.7 International Conference, septembre 2024, Chemnitz (Allemagne), Allemagne.
      https://hal.science/hal-04925630v1
    • [79] R. Shahabi-Shahmiri, R. Tavakkoli-Moghaddam, A. Dolgui, M. Ghasemi, S. Mirnezami. An AUGMECON2VIKOR Algorithm for a Multi-objective Model in a Sustainable Manufacturing System Under Reliable Constraints. In APMS 2024: 43rd IFIP WG 5.7 International Conference Advances in Production Management Systems, septembre 2024, Chemnitz, Allemagne.
      https://hal.science/hal-04925715v1
    • [80] S. Rekabi, Z. Sazvar, A. Dolgui, R. Tavakkoli-Moghaddam. Designing a New Dry Port-Seaport Logistics Network with a Focus on Industry 5.0 by Machine Learning. In APMS 2024: 43rd IFIP WG 5.7 International Conference Advances in Production Management Systems, septembre 2024, Chemnitz, Allemagne.
      https://hal.science/hal-04925722v1
    • [81] 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
    • [82] J. Castan, J. Medina, O. Péton, M. Restrepo. Routing Problem with Stochastic Demands and Cross-Docking Opportunity. In TSL 2024 workshop, septembre 2024, Nantes (Nantes Université), France.
      https://hal.science/hal-04996742v1
    • [83] A. Dolgui. Optimal Planning under uncertain lead times: cases of assembly and disassembly: an invited keynote talk. In 3rd Vietnam Symposium in Supply Chain Management, 0ctober 21-22, 2024, octobre 2024, Hanoi, Viêt Nam.
      https://hal.science/hal-04925791v1
    • [84] A. Dolgui. Uncertain lead times in production planning for assembly and disassembly systems: a keynote talk. In Expert Online Talk at IIM Mumbai, octobre 2024, Mumbai, Inde.
      https://hal.science/hal-04925777v1
    • [85] A. Dolgui. Uncertain lead times in production planning for assembly and disassembly systems: a keynote talk. In International Conference on Next-Gen Supply Chain: Trends, Innovations, and Best Practices, novembre 2024, Jammu, Inde.
      https://hal.science/hal-04925770v1
    • [86] A. Dolgui, S. Kovalev, M. Kovalyov. Electric Bus Charging Problems: An invited keynote talk. In The 51st Computers & Industrial Engineering Conference, Australia, December 10, 2024, décembre 2024, Sudney, Australie.
      https://hal.science/hal-04925768v1
    • [87] H. Tavakkoli-Moghaddam, A. Dolgui, S. Thevenin, . Hazir, M. Agi. An MILP Model for Budget-Constrained Scheduling of Human-Robot Collaboration in Assembly Line Balancing. In CIE51 2024: 51st International Conference on Computers and Industrial Engineering, décembre 2024, Sydney (Australia), Australie.
      https://hal.science/hal-04925797v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [88] 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 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-04683516v1
    • [89] O. Ben-Ammar, B. Bettayeb, I. Slama, A. Dolgui. Choix de fournisseurs sous une demande dynamique et des délais de livraison stochastiques. 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-04890721v1
    • [90] 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
    • [91] S. Arbi, A. Cerqueus, E. Gurevsky, A. Dolgui, A. Siadat. A literature review of optimization problems focused on scalability aspects for manufacturing systems. 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-04451795v1
    • [92] 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
    • [93] 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
    • [94] 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
    • [95] 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
    • [96] 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)

    • [97] 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
    • [98] 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

Autres publications (AUTRES)

    • [99] P. Bergé, M. Chaikovskaia, J. Gayon, A. Quilliot. Approximation algorithms for Job Scheduling with reconfigurable resources. Rapport technique, 2024 ; Université Clermont-Auvergne, CNRS, Mines de Saint-Etienne, Clermont-Auvergne-INP, LIMOS, 63000 Clermont-Ferrand, IMT Atlantique, LS2N, UMR CNRS 6004, F-44307 Nantes, .
      https://hal.science/hal-04514376v1
    • [100] P. Metzker Soares, S. Thevenin, Y. Adulyasak, A. Dolgui. Distributionally robust optimization for the multi-period multi-item lot-sizing problems under yield uncertainty. Rapport technique, 2024 ; GERAD, HEC Montreal, Canada.
      https://hal.science/hal-04925607v1
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