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Publication  de  la  collection  HAL LS2N-SLP  pour  2020

Nombre de publications retournées : 73

Récapitulatif du nombre de publications de la collection par types
ART_INT
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COMM_NAT
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391136122

Revues internationales avec comité de lecture (ART_INT)

    • [1] 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-03170925
    • [2] F. Lehuédé, O. Péton, F. Tricoire. A lexicographic minimax approach to the vehicle routing problem with route balancing. In European Journal of Operational Research ; éd. Elsevier, 2020, vol. 282, num. 1.
      https://hal.science/hal-02296076
    • [3] G. Celano, P. Castagliola. On‐line monitoring of extreme values of geometric profiles in finite horizon processes. In Quality and Reliability Engineering International ; éd. Wiley, 2020, vol. 36, num. 4.
      https://hal.science/hal-02551720
    • [4] H. Nguyen, K. Tran, G. Celano, P. Maravelakis, P. Castagliola. On the effect of the measurement error on Shewhart t and EWMA t control charts. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2020, vol. 107, num. 9-10.
      https://hal.science/hal-02568969
    • [5] H. Sabahno, P. Castagliola, A. Amiri. A variable parameters multivariate control chart for simultaneous monitoring of the process mean and variability with measurement errors. In Quality and Reliability Engineering International ; éd. Wiley, 2020, vol. 36, num. 4.
      https://hal.science/hal-02551715
    • [6] H. Sabahno, P. Castagliola, A. Amiri. An adaptive variable-parameters scheme for the simultaneous monitoring of the mean and variability of an autocorrelated multivariate normal process. In Journal of Statistical Computation and Simulation ; éd. Taylor & Francis, 2020, vol. 90, num. 8.
      https://hal.science/hal-02551721
    • [7] 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. Maria DI MASCOLO, 2020, vol. 3, num. 1.
      https://hal.science/hal-03170986
    • [8] 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-02636673
    • [9] 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-02550115
    • [10] L. Morganti, H. Haddou Benderbal, L. Benyoucef, M. Bortolini, F. Gabriele Galizia. A New Process Quality-based Multi-objective Multi-part Approach for the Integrated Process Planning and Scheduling (IPPS) Problem in Reconfigurable Manufacturing Environment. In IFAC-PapersOnLine ; éd. Elsevier, 2020, vol. 53, num. 2.
      https://hal.science/hal-03526666
    • [11] P. Halffmann, T. Dietz, A. Przybylski, S. Ruzika. An inner approximation method to compute the weight set decomposition of a triobjective mixed-integer problem. In Journal of Global Optimization ; éd. Springer Verlag, 2020.
      https://hal.science/hal-02523885
    • [12] 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-02882757
    • [13] 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-02923276
    • [14] S. Shongwe, J. Malela‐majika, P. Castagliola. On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme. In Quality and Reliability Engineering International ; éd. Wiley, 2020, vol. 36, num. 3.
      https://hal.science/hal-02502217
    • [15] X. Hu, P. Castagliola, A. Tang, X. Zhou, P. Zhou. Conditional median run length performance of the synthetic X¯ chart with unknown process parameters. In Quality and Reliability Engineering International ; éd. Wiley, 2020, vol. 36, num. 3.
      https://hal.science/hal-02502233
    • [16] Y. Bian, D. Lemoine, N. Bostel, T. Yeung. Two-level uncapacitated lot sizing problem considering financial cost of working capital requirement.. In Frontiers of Engineering Management ; éd. Higher Education Press, 2020, vol. 7.
      https://hal.science/hal-02190123
    • [17] Y. He, C. Artigues, C. Briand, N. Jozefowiez, S. Ngueveu. A Matheuristic with Fixed-Sequence Reoptimization for a Real-Life Inventory Routing Problem. In Transportation Science ; éd. INFORMS, 2020, vol. 54, num. 2.
      https://hal.science/hal-02944238
    • [18] 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-02477561
    • [19] F. Lehuédé, O. Péton, F. Tricoire. A lexicographic minimax approach to the vehicle routing problem with load balancing. In European Journal of Operational Research ; éd. Elsevier, 2020, vol. 282, num. 1.
      https://hal.science/hal-01922934
    • [20] 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-02437934
    • [21] 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-02550104
    • [22] 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-02556267
    • [23] 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. MDPI, 2020.
      https://hal.science/hal-02572048
    • [24] 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-02568319
    • [25] E. Massimi, A. Khezri, H. Haddou Benderbal, L. Benyoucef. A Heuristic-based Non-Linear Mixed Integer Approach for Optimizing Modularity and Integrability in a Sustainable Reconfigurable Manufacturing Environment. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2020.
      https://hal.science/hal-02567292
    • [26] 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-02568324
    • [27] A. Khezri, H. Haddou Benderbal, L. Benyoucef. Towards a Sustainable Reconfigurable Manufacturing System (SRMS): Multi-Objective Based Approaches for Process Plan Generation Problem. In International Journal of Production Research ; éd. Taylor & Francis, 2020.
      https://hal.science/hal-02567305
    • [28] 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-03197762
    • [29] O. Tellez, L. Daguet, F. Lehuédé, T. Monteiro, G. Osorio Montoya, O. Péton, S. Vercraene. A stakeholder oriented approach to the optimization of transports of people with disabilities. In Supply Chain Forum: An International Journal ; éd. Kedge Business School, 2020, vol. 21, num. 2.
      https://hal.science/hal-02546111
    • [30] 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-02882722
    • [31] 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-02923295
    • [32] H. Ayyoub, M. Khoo, S. Saha, P. Castagliola. Multivariate coefficient of variation charts with measurement errors. In Computers & Industrial Engineering ; éd. Elsevier, 2020, vol. 147.
      https://hal.science/hal-02893090
    • [33] S. Shongwe, J. Malela-Majika, P. Castagliola, T. Molahloe. Side-sensitive synthetic and runs-rules charts for monitoring AR(1) processes with skipping sampling strategies. In Communications in Statistics - Theory and Methods ; éd. Taylor & Francis, 2020, vol. 49, num. 17.
      https://hal.science/hal-02907038
    • [34] 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-02925637
    • [35] S. Thevenin, Y. Adulyasak, J. Cordeau. Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization. In Production and Operations Management ; éd. Wiley, 2020.
      https://hal.science/hal-03052916
    • [36] 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-03052898
    • [37] 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-03170914
    • [38] F. Zaidi, P. Castagliola, K. Tran, M. Khoo. Performance of the MEWMA‐CoDa control chart in the presence of measurement errors. In Quality and Reliability Engineering International ; éd. Wiley, 2020, vol. 36, num. 7.
      https://hal.science/hal-02977179
    • [39] 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

Revues nationales avec comité de lecture (ART_NAT)

    • [40] 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-02572112

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [41] D. Diaz, C. Gueret, O. Bellenguez, L. Billard. Nurse rostering avec prise en compte des remplacements : application au CHU de Nantes. In ROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, février 2020, Montpellier, France.
      https://hal.science/hal-02487520
    • [42] O. Ben-Ammar, B. Bettayeb, A. Dolgui. Multi-period supply planning problem under a dynamic demand, stochastic lead times and a supplier selection. In 21st International Working Seminar on Production Economics, février 2020, Innsbrück, Autriche.
      https://hal.science/hal-02635840
    • [43] H. El Garrab, B. Castanier, D. Lemoine, A. Lazrak, R. Heidsieck. Towards Hybrid Machine Learning Models in Decision Support Systems for predicting the Spare Parts Reverse Flow in a Complex Supply Chain. In Information system, Logistics & Supply Chain - ILS 2020, avril 2020, Austin, états-Unis.
      https://hal.science/hal-02859937
    • [44] D. Dumez, K. Olkis, S. Irnich, F. Lehuédé, O. Péton, C. Tilk. Large neighborhood search heuristic with exact components for generalized vehicle routing problems with time windows. In VeRoLog 2020, juin 2020, Hambourg, Allemagne.
      https://hal.science/hal-02499191
    • [45] A. Yelles-Chaouche, E. Gurevsky, N. Brahimi, A. Dolgui. Minimizing task reassignments in the design of reconfigurable manufacturing lines with space restrictions. In 21st IFAC World Congress, juillet 2020, Berlin, Allemagne.
      https://hal.science/hal-03202342
    • [46] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. A Newsboy formulae to optimize planned lead times for two-level disassembly systems. In 21st IFAC World Congress, juillet 2020, Berlin, Allemagne.
      https://hal.science/hal-03200253
    • [47] P. Hedayatinia, D. Lemoine, G. Massonnet, J. Viviani. Analysis of the Impact of Demand Volatility and Return Policies on a Price-setting Newsvendor. In IFAC 2020 : 21st IFAC World Congress, juillet 2020, Berlin, France.
      https://hal.science/hal-03018612
    • [48] H. Rezaei, N. Bostel, V. Hovelaque, O. Péton. A finance driven supply chain network design model. In MOSIM 2020 : 13th International Conference on Modeling, Optimization and Simulation, novembre 2020, Agadir (virtuel), Maroc.
      https://hal.science/hal-03176359
    • [49] I. Slama, O. Ben-Ammar, A. Dolgui. Modélisation et optimisation du problème de planification de type RMRP. In MOSIM'20 : 13eme Conference Francophone de Modelisation, Optimisation et Simulation, novembre 2020, Agadir, Maroc.
      https://hal.science/hal-03171078
    • [50] M. Mohammadi, S. Thevenin, A. Dolgui. Multi-period Multi-item Lot sizing under Random Yield and Stochastic Capacity. In 13th International Conference on Modeling, Optimization and Simuation - MOSIM'20, novembre 2020, Agadir (en ligne), Maroc.
      https://hal.science/hal-03052909
    • [51] N. Murcia, O. Cardin, A. Mohafid. REVUE DES METHODES D'EVALUATION DES CONTRAINTES ERGONOMIQUES DES OPERATIONS DE PRODUCTION ET DE LEUR INTEGRATION DANS UN SYSTEME DE PRODUCTION CYBER-PHYSIQUE. In 13ème CONFERENCE INTERNATIONALE DE MODELISATION, OPTIMISATION ET SIMULATION (MOSIM2020), 12-14 Nov 2020, AGADIR, Maroc, novembre 2020, AGADIR (virtual), Maroc.
      https://hal.science/hal-03192803
    • [52] A. Khezri, H. Haddou Benderbal, L. Benyoucef, A. Dolgui. Diagnosis on Energy and Sustainability of Reconfigurable Manufacturing System (RMS) Design: A Bi-level Decomposition Approach. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), décembre 2020, Singapour, Singapour.
      https://hal.science/hal-03131857
    • [53] I. Slama, O. Ben-Ammar, A. Dolgui, F. Masmoudi. A Stochastic Model for a Two-Level Disassembly Lot-Sizing Problem Under Random Lead Time. In IFIP International Conference on Advances in Production Management Systems (APMS), août 2020, Novi Sad, Serbie.In Bojan Lalic (éds.), . Springer International Publishing, 2020.
      https://hal.science/hal-02923308

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [54] 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-02485673
    • [55] D. Dumez, K. Olkis, S. Irnich, F. Lehuédé, O. Péton, C. Tilk. Renforcements de la recherche à voisinage large pour les problèmes de tournées de véhicules généralisés. In ROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, février 2020, Montpellier, France.
      https://hal.science/hal-02491381
    • [56] F. Larroche, O. Bellenguez, G. Massonnet. Approche de résolution d'un problème industriel de lot-sizing avec réglages dépendant de la séquence. In ROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, février 2020, Montpellier, France.
      https://hal.science/hal-03365352
    • [57] S. Thevenin, O. Ben-Ammar, N. Brahimi. A Robust Approach for the Joint Lot-Sizing and Supplier Selection. In ROADEF 2020 : 21ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, février 2020, Montpellier, France.
      https://hal.science/hal-02505377
    • [58] X. Schepler, A. Dolgui, E. Gurevsky, A. Rossi. Résolution du problème de bin-packing robuste par un algorithme de branch-and-price. In 21e 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-02485676
    • [59] 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-02612213

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

    • [60] P. Castagliola, K. Tran, G. Celano, P. Maravelakis. The Shewhart Sign Chart with Ties: Performance and Alternatives. In Distribution-Free Methods for Statistical Process Monitoring and Control. 2020
      https://hal.science/hal-02514884
    • [62] 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-03170855
    • [63] 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-03170889
    • [64] H. Haddou Benderbal, A. Dolgui, A. Yelles-Chaouche. A Digital Twin Modular Framework for Reconfigurable Manufacturing Systems. In Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham.. 25-08-2020
      https://hal.science/hal-02923302
    • [65] S. Hashemi-Petroodi, S. Thevenin, S. Kovalev, A. Dolgui. The Impact of Dynamic Tasks Assignment in Paced Mixed-Model Assembly Line with Moving Workers. In Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham.. 25-08-2020
      https://hal.science/hal-02923306
    • [67] N. Najid, P. Castagna, K. Kouiss. System Engineering-Based Methodology to Design Reconfigurable Manufacturing Systems. In Reconfigurable Manufacturing Systems: From Design to Implementation. 20-10-2020
      https://hal.science/hal-02354412
    • [68] 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-03170898
    • [69] 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-02277938
    • [70] P. Marangé, D. Lemoine, A. Aubry, S. Himmiche, S. Norre, C. Bloch, J. Pétin. Coupling robust optimization and Model-Checking techniques for robust scheduling in the context of Industry 4.0. In Scheduling in Industry 4.0 and Cloud Manufacturing. 06-2020
      https://hal.science/hal-02479424
    • [71] 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-02333715

Theses et HDR (THESE)

    • [73] I. Slama. Modélisation et optimisation de problème de planification de désassemblage dans un environnement incertain. Thèses : Ecole nationale supérieure Mines-Télécom Atlantique, Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, .
      https://theses.hal.science/tel-03374194
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