Application of the Mixed-Integer Programming Method in Fishery Supply Chain Network Management: A Case Study of Shrimp in Golestan Province
نویسندگان
1 Department of Industrial Engineering, University of Science and Technology, P.O. Box. 85635-46166, Mazandaran, Babol, Iran.
2 Department of Industrial Engineering, University of Science and Technology, P.O. Box. 85635-46166, Mazandaran, Babol, Iran.
3 Department of Agricultural Engineering, University of Agricultural Sciences and Natural Resources, P.O. Box. 48181-66996, Mazandaran, Sari, Iran.
doi
10.30473/coam.2022.63182.1197چکیده
Social, economic, and environmental issues such as population growth, reduction of natural resources, climate change, market fluctuations, and changing consumer behavior have attracted the attention of politicians to the supply chain of agricultural products. Designing an effective supply chain for each product can lead to optimal management of the agricultural sector and create coordination and links between activities. In this article, the design of a two-echelon supply chain network of shrimp in Golestan province is investigated. The objective is to minimize the total cost associated with fixed opening and operating costs of shrimp farming companies and to determine the target market for these producers. Also, this study involves deciding on the amount of inputs purchased by each company and determining the best mode of transport. To characterize and solve this problem, we developed a mixed-integer programming (MIP) model that solves with GAMS software. The results show that with the implementation of the MIP model, the total costs of the chain are reduced by nearly 20 percent compared to the current situation. In addition, without increasing production, it is possible to supply 0.053 percent of global market demand, which is 76 percent more than before.
