2022
DOI: 10.24200/sci.2022.56383.4702
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Green Design of Regional Wheat Supply Chains under Uncertainty

Abstract: This study presents a fuzzy mathematical programming model to optimize regional wheat hub center in Iran with the aim of achieving green fulfillment of domestic demand, swap and export of wheat to neighboring countries. The proposed model is developed for a 10-year planning horizon with real-world assumptions under uncertainty. By the proposed model, the optimal decisions are made on the amount of wheat cultivation areas in different provinces, capacity of silos, amount of import, swap and export of wheat, tra… Show more

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Cited by 2 publications
(1 citation statement)
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“…Together, these two improvements had the greatest impact. A fuzzy mathematical programming model was developed by Babazadeh and Shamsi [22] for the purpose of optimizing the regional wheat center in Iran and achieving sustainable self-sufficiency, in addition to the exchange and export of wheat to countries that are adjacent to Iran, while taking into account uncertainty. They optimized two objective functions (OBFs) by following the approach that was proposed, and the OBFs included both economic and environmental objectives.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Together, these two improvements had the greatest impact. A fuzzy mathematical programming model was developed by Babazadeh and Shamsi [22] for the purpose of optimizing the regional wheat center in Iran and achieving sustainable self-sufficiency, in addition to the exchange and export of wheat to countries that are adjacent to Iran, while taking into account uncertainty. They optimized two objective functions (OBFs) by following the approach that was proposed, and the OBFs included both economic and environmental objectives.…”
Section: Literature Reviewmentioning
confidence: 99%