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
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Shrnutí: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 maximize product quality, reliability, and local flour usage. We established multi-objective fuzzy mixed integer non-linear programming to solve the problem and used non-dominated sorting genetic algorithm (NSGA) II methods to found the best solution. The result provides a referral for a decision maker to design the optimal substituted wheat flour supply chain.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2217-2661
2683-345X
DOI:10.24867/IJIEM-2020-3-263