Optimizing a multi-echelon supply chain network flow using nonlinear fuzzy multi-objective integer programming: Genetic algorithm approach

The aim of this paper is to present mathematical models optimizing all materials flows in supply chain. In this research a fuzzy multi-objective nonlinear mixed- integer programming model with piecewise linear membership function is applied to design a multi echelon supply chain network (SCN) by con...

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Vydané v:	Management science letters Ročník 2; číslo 6; s. 1871 - 1884
Hlavní autori:	Zandhessami, Hessam, Kashi Zonozi, Mehrzad, Afshari, Mohammad Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Growing Science 01.10.2012
Predmet:	Fuzzy theory Genetic algorithm Multi echelon Supply chain management Supply chain network
ISSN:	1923-9335, 1923-9343
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