A stochastic dual dynamic integer programming based approach for remanufacturing planning under uncertainty

We seek to optimize the production planning of a three-echelon remanufacturing system under uncertain input data. We consider a multi-stage stochastic integer programming approach and use scenario trees to represent the uncertain information structure. We introduce a new dynamic programming formulat...

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Veröffentlicht in:	International journal of production research Jg. 61; H. 17; S. 5992 - 6012
Hauptverfasser:	Quezada, Franco, Gicquel, Céline, Kedad-Sidhoum, Safia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Taylor & Francis 02.09.2023 Taylor & Francis LLC
Schlagworte:	Algorithms Computer Science Decomposition Dynamic programming Integer programming lot-sizing multi-stage stochastic integer programming Operations Research Optimization Production planning Remanufacturing stochastic dual dynamic programming Lot-sizing Stochastic dual dynamic programming Production planning Remanufacturing Multi-stage stochastic integer programming
ISSN:	0020-7543, 1366-588X
Online-Zugang:	Volltext
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