A novel fuzzy finite-horizon economic lot and delivery scheduling model with sequence-dependent setups

This paper addresses the economic lot and delivery scheduling problem (ELDSP) within three-echelon supply chains, focusing on the complexities of demand uncertainty, limited shelf-life of products, and sequence-dependency of setups. We develop a novel mixed-integer non-linear programming (MINLP) mod...

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Vydáno v:	Complex & intelligent systems Ročník 10; číslo 5; s. 7009 - 7031
Hlavní autoři:	Sangari, Esmat, Jolai, Fariborz, Sangari, Mohamad Sadegh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.10.2024 Springer Nature B.V Springer
Témata:	Complexity Computational Intelligence Costs Data Structures and Information Theory Delivery scheduling Economic lot and delivery scheduling problem (ELDSP) Engineering Flexible flow shop (FFS) Fuzzy demand Fuzzy set theory Fuzzy sets Linear programming Me measure Mixed integer Nonlinear programming Original Article Sequence-dependent setups Shelf life Supply chains Synchronism Uncertainty Flexible flow shop (FFS) Fuzzy demand measure Economic lot and delivery scheduling problem (ELDSP) Sequence-dependent setups
ISSN:	2199-4536, 2198-6053
On-line přístup:	Získat plný text
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