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Stochastic lot-sizing for a multi-echelon remanufacturing system

Abstract : We consider a remanufacturing system involving three production echelons: disassembly of returned products, refurbishing of recovered parts and reassembly of remanufactured products. This leads to the formulation of a three-echelon lot-sizing problem with a general product structure, product returns and lost sales. We first consider a deterministic variant of the problem and focus on its resolution through Cut & Branch and Branch & Cut algorithms. We then investigate a stochastic variant of the problem in which the uncertainties on the quantity of returned products and on the demand for remanufactured products are explicitly taken into account. We propose a multi-stage stochastic programming approach relying on a scenario tree to represent the uncertainty. The extension of the algorithms proposed for the deterministic problem is then discussed. Preliminary computational results are presented.
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Contributor : Céline Gicquel <>
Submitted on : Tuesday, January 31, 2017 - 12:53:13 PM
Last modification on : Tuesday, April 21, 2020 - 1:04:25 AM


  • HAL Id : hal-01450753, version 1


Céline Gicquel, Safia Kedad-Sidhoum, Quan Dong Vu. Stochastic lot-sizing for a multi-echelon remanufacturing system. International Workshop on Lot-Sizing, Aug 2016, Hanovre, Germany. ⟨hal-01450753⟩



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