Application of the Mixed-Integer Programming Method in Fishery Supply Chain Network Management‎: ‎A Case Study of Shrimp in Golestan Province

Mahdavi Varaki, Javad; Mahdavi, Iraj; Mirkarimi, Shahrzad

doi:10.30473/coam.2022.63182.1197

Document Type : Research Article

Authors

¹ Department of Industrial Engineering, University of Science and Technology, ‎P.O‎. ‎Box‎. ‎85635-46166‎, ‎Mazandaran‎, ‎Babol‎, ‎Iran‎.

² Department of Agricultural Engineering, University of Agricultural Sciences and Natural Resources, ‎P.O‎. ‎Box‎. ‎48181-66996‎, ‎Mazandaran‎, ‎Sari‎, ‎Iran‎.

https://doi.org/10.30473/coam.2022.63182.1197

Abstract

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.

Keywords

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Application of the Mixed-Integer Programming Method in Fishery Supply Chain Network Management‎: ‎A Case Study of Shrimp in Golestan Province

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References

Volume 7, Issue 2 Open Access PolicySummer-Autumn 2022December 2022Pages 99-114

Volume 7, Issue 2
Open Access Policy
Summer-Autumn 2022
December 2022
Pages 99-114