Fuzzy multi-objective optimization for wheat flour supply chain considering raw material substitution

This study aimed to develop a multi-objective optimization model of the wheat flour supply chain considering raw material substitution in which supplier capacity and product demand were considered in uncertain conditions. There are four objectives to be achieved: to minimize the total cost and to ma...

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Vydáno v:	IJIEM. International Journal of Industrial Engineering and Management (Online) Ročník 11; číslo 3; s. 180 - 191
Hlavní autoři:	Trisna, Trisna, Marimin, Marimin, Arkeman, Yandra, Candra Sunarti, Titi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Novi Sad University of Novi Sad 01.09.2020 University of Novi Sad, Faculty of Technical Sciences
Témata:	Decision making Flour fuzzy multi-objective optimization fuzzy numbers Genetic algorithms Linear programming Materials substitution Mixed integer Multiple objective analysis Nonlinear programming nsga ii Optimization possibilistic programming raw material substitution Sorting algorithms Supply chains Wheat
ISSN:	2217-2661, 2683-345X
On-line přístup:	Získat plný text
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