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Article Dans Une Revue International Journal of Production Research Année : 2017

A bi-objective robust inspection planning model in a multi-stage serial production system

Résumé

In this paper, a bi-objective mixed-integer linear programming (BOMILP) model for planning of an inspection process used to detect nonconforming products and malfunctioning processors in a multi-stage serial production system is presented. The model involves two inter-related decisions: 1) which quality characteristics need what kind of inspections (i.e., which-what decision) and 2) when the inspection of these characteristics should be performed (i.e., when decision). These decisions require a trade-off between the cost of manufacturing (i.e., production, inspection and scrap costs) and the customer satisfaction. Due to inevitable variations in the manufacturing systems, a global robust BOMILP (RBOMILP) is developed to tackle the inherent uncertainty of the concerned parameters (i.e., production and inspection times, errors type I and II, misadjustment and dispersion of the process). In order to optimally solve the presented RBOMILP model, a meta-heuristic algorithm, namely differential evolution (DE) algorithm, is combined with the Taguchi and Monte Carlo methods. The proposed model and solution algorithm are validated through a real industrial case from a leading automotive industry in France.
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Dates et versions

hal-02369513 , version 1 (19-11-2019)

Identifiants

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Mehrdad Mohammadi, Jean-Yves Dantan, Ali Siadat, Reza Tavakkoli-Moghaddam. A bi-objective robust inspection planning model in a multi-stage serial production system. International Journal of Production Research, 2017, 56 (4), pp.1432-1457. ⟨10.1080/00207543.2017.1363425⟩. ⟨hal-02369513⟩
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