Trisna, Trisna and Marimin, Marimin and Arkeman, Yandra and Sunarti, Titi Candra (2020) PEER REVIEW: Fuzzy multi-objective optimization for wheat flour supply chain considering raw material substitution. the University of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia.
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Abstract
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.
| Item Type: | Other |
|---|---|
| Subjects: | T Technology & Engineering > TB Industrial Engineering > Operation Research T Technology & Engineering > TB Industrial Engineering > Planning and Production T Technology & Engineering > TB Industrial Engineering > Supply Chain T Technology & Engineering > TB Industrial Engineering > Production System |
| Divisions: | Faculty of Engineering > Department of Industrial Engineering |
| Depositing User: | Dr. Trisna ST, M.Eng |
| Date Deposited: | 22 Feb 2021 07:51 |
| Last Modified: | 22 Feb 2021 07:51 |
| URI: | http://repository.unimal.ac.id/id/eprint/6368 |
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