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Models for MMSP-W considering workstation dependencies: A case study of Nissan’s Barcelona plant

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  • Bautista, Joaquín
  • Cano, Alberto
  • Alfaro, Rocío

Abstract

In this article, we present two formulations and their unification for the Mixed-Model Sequencing Problem with Workload Minimisation (MMSP-W) for production lines with serial workstations and parallel homogeneous processors. The models were executed in Solver CPLEX, with reference instances and with a case study of Nissan’s Powertrain plant in Barcelona. Different situations were analysed to evaluate investments in projects designed to improve process and product design and reduce work overloads in the line at short-, intermediate- and long-term intervals.

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  • Bautista, Joaquín & Cano, Alberto & Alfaro, Rocío, 2012. "Models for MMSP-W considering workstation dependencies: A case study of Nissan’s Barcelona plant," European Journal of Operational Research, Elsevier, vol. 223(3), pages 669-679.
    • Handle: RePEc:eee:ejores:v:223:y:2012:i:3:p:669-679
    DOI: 10.1016/j.ejor.2012.07.006
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    Cited by:

    1. Janis Brammer & Bernhard Lutz & Dirk Neumann, 2022. "Stochastic mixed model sequencing with multiple stations using reinforcement learning and probability quantiles," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 29-56, March.
    2. Bautista, Joaquín & Alfaro, Rocío & Batalla, Cristina, 2015. "Modeling and solving the mixed-model sequencing problem to improve productivity," International Journal of Production Economics, Elsevier, vol. 161(C), pages 83-95.
    3. Karim Aroui & Gülgün Alpan & Yannick Frein, 2017. "Minimising work overload in mixed-model assembly lines with different types of operators: a case study from the truck industry," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6305-6326, November.

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