Fuzzy multi-objective optimization for wheat flour supply chain considering raw material substitution
العنوان: | Fuzzy multi-objective optimization for wheat flour supply chain considering raw material substitution |
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المؤلفون: | Titi Candra Sunarti, Yandra Arkeman, Trisna Trisna, Marimin Marimin |
المصدر: | International Journal of Industrial Engineering and Management, Vol 11, Iss 3, Pp 180-191 (2020) |
بيانات النشر: | Faculty of Technical Sciences, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | lcsh:T55.4-60.8, business.industry, Supply chain, Substitution (logic), Wheat flour, fuzzy numbers, Raw material, nsga ii, Multi-objective optimization, Fuzzy logic, Industrial and Manufacturing Engineering, fuzzy multi-objective optimization, raw material substitution, lcsh:Industrial engineering. Management engineering, Business, Management and Accounting (miscellaneous), Process engineering, business, possibilistic programming, Mathematics |
الوصف: | 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. |
تدمد: | 2683-345X 2217-2661 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f31e01f6822ff9d96504d509c8d802d0 https://doi.org/10.24867/ijiem-2020-3-263 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....f31e01f6822ff9d96504d509c8d802d0 |
قاعدة البيانات: | OpenAIRE |
تدمد: | 2683345X 22172661 |
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