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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Computers & operations research Jg. 116; S. 104865
Hauptverfasser:	Quezada, Franco, Gicquel, Céline, Kedad-Sidhoum, Safia, Vu, Dong Quan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.04.2020 Pergamon Press Inc Elsevier
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!