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Planification des activités en logistique inverse : modélisation et optimisation des performances par une approche stochastique en programmation linéaire

Abstract : During the last decades, reverse logistics networks have been launched in severalindustrialized countries with the aim of preserving the environment. The implementation andmanagement of the reverse logistics concerns the different levels (strategic, tactical andoperational) existing in the framework of forward logistics for any production system. Toimprove this type of network, modeling and simulation are effective tools. After presenting astate of the art in this domain, our study focuses on the planning of two sub-systems of thereverse logistics chain (i.e. collection-sorting and disassembly) on the tactical level that is tosay the medium term. The aim of this work is to propose a generic model by linearprogramming in a multi-product and multi-period context, which searches for maximizingthe total profit of the sub-system studied, taking into account the uncertainty of the productssupplied. The integer linear model (deterministic, stochastic and stochastic assessment) is thusformulated around a profit constrained by the sub-system capacity, the evolution of incomingand outgoing inventory and the delivery of products to customers: a delivery policyauthorizing the quality degrading of products or not.
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Submitted on : Tuesday, September 20, 2016 - 1:53:23 PM
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  • HAL Id : tel-01369001, version 1

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Alioune Fall. Planification des activités en logistique inverse : modélisation et optimisation des performances par une approche stochastique en programmation linéaire. Autre. Université de Bordeaux, 2016. Français. ⟨NNT : 2016BORD0071⟩. ⟨tel-01369001⟩

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