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Article Dans Une Revue Computers in Industry Année : 2021

Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability

Résumé

The scheduling problem in manufacturing companies with high rework rates remains a complex research area to date. This paper presents a new approach for manufacturing scheduling that combines a predictive schedule with a proactive multicriteria decision-making method based on smart batches and their quality prediction capability. Each batch embeds an algorithm that allows it to predict its quality out of the next workstation. As soon as a batch determines that its process is too hazardous, a collaborative rescheduling decision, using the analytic hierarchy process (AHP), is initiated with its peer. This article details the proposed approach along with the AHP structure and presents the considered decision problem. A simulation model inspired by a lacquering-robot case study is described to validate this proposition. Then, the results of different scenarios are presented and discussed, highlighting the impact of social myopia on smart batches.
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Dates et versions

hal-03348311 , version 1 (18-09-2021)

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Emmanuel Zimmermann, Tsegay Tesfay Mezgebe, Hind Bril El-Haouzi, Philippe Thomas, Rémi Pannequin, et al.. Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability. Computers in Industry, 2021, 133, pp.103549. ⟨10.1016/j.compind.2021.103549⟩. ⟨hal-03348311⟩
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