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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Bibliographic Details
Published in:	IJIEM. International Journal of Industrial Engineering and Management (Online) Vol. 11; no. 3; pp. 180 - 191
Main Authors:	Trisna, Trisna, Marimin, Marimin, Arkeman, Yandra, Candra Sunarti, Titi
Format:	Journal Article
Language:	English
Published:	Novi Sad University of Novi Sad 01.09.2020 University of Novi Sad, Faculty of Technical Sciences
Subjects:	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
Online Access:	Get full text
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