A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales

•We study a multi-echelon stochastic lot-sizing problem within remanufacturing environment.•It is modelled as a multi-stage stochastic integer program and solved by a Branch & Cut algorithm.•We propose a new family of tree valid inequalities generated by a mixing procedure.•A heuristic algorithm...

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Bibliographic Details
Published in:	Computers & operations research Vol. 116; p. 104865
Main Authors:	Quezada, Franco, Gicquel, Céline, Kedad-Sidhoum, Safia, Vu, Dong Quan
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 01.04.2020 Pergamon Press Inc Elsevier
Subjects:	Algorithms Branch-and-cut algorithm Computer Science Computer simulation Horizon Inequalities Integer programming Integers Lost sales Lot sizing Multi-stage stochastic integer programming Operations Research Optimization Production scheduling Refurbishment Remanufacturing Remanufacturing system Scenario tree Stochastic lot-sizing Valid inequalities Lost sales Scenario tree Multi-stage stochastic integer programming Valid inequalities Branch-and-cut algorithm Stochastic lot-sizing Remanufacturing system multi-stage stochastic integer programming scenario tree remanufacturing system valid inequalities branch-and-cut algorithm lost sales
ISSN:	0305-0548, 1873-765X, 0305-0548
Online Access:	Get full text
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