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Communication Dans Un Congrès Année : 2023

Managing Process Time Uncertainty in Mixed-Model Assembly Lines

Résumé

The automotive industry faces a rising demand for customized vehicles, which requires the use of Mixed-Model Assembly Lines (MMALs). However, these lines struggle with uncertainty in process time, making production planning challenging. To solve this issue, the proposed solution is to use a Markov Decision Process (MDP) to model the uncertainty in process time, task assignment, and workers' movements dynamically. We formulated this line balancing problem as a Mixed-Integer Linear Programming model and solved it using a Benders decomposition algorithm. The approach demonstrates significant improvements over the traditional approach currently used in the automotive industry.
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Dates et versions

hal-04420218 , version 1 (26-01-2024)

Identifiants

  • HAL Id : hal-04420218 , version 1

Citer

Milad Elyasi, Simon Thevenin, Audrey Cerqueus, Alexandre Dolgui. Managing Process Time Uncertainty in Mixed-Model Assembly Lines. 2023 POMS international conference, Jul 2023, Paris, France. ⟨hal-04420218⟩
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