One of the most issues of governments is to procuring food properly. Wheat and its products have strategic importance in consumable commodities basket and planning for its supply chain is one of the significant country’s needs. Also, wheat flour is one of the initial substances of many foods like bread, spaghetti, cookies, and confections. This paper proposed a multi-period, multi-product, bi-objective mixed integer linear programming minimizing the total cost and minimizing water consumption. Wheat supply chain network from farms, silos, flour factories, to customers is considered in this problem. This study aims to determine the wheat production amount, importing amount, and the quantity of water using of resources. Then, the bi-objective model converted to a single-objective one via the Weighted Goal programming method. Finally, the proposed model verified by a numerical example and results are presented. Also, the sensitivity analyses are shown to give a better insight and some suggestions for future works are presented.
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
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