Title: A push strategy optimisation model for a marine shrimp farming supply chain network

Authors: Chaimongkol Limpianchob; Masahiro Sasabe; Shoji Kasahara

Addresses: Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, Japan; Department of Industrial Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University, 1 Moo 6, Kamphaeng Saen, Nakhon Pathom, Thailand ' Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, Japan ' Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara, Japan

Abstract: Marine shrimp farming operations in Southeast Asia are still traditional and need to be improved in efficiency. In this paper, we first model a marine shrimp supply chain network, which consists of suppliers, farms, distribution centres, traders, and consumers. We also develop a mixed-integer linear programming under the push strategy framework in order to maximise the farmer's profit. Through a sensitivity analysis, we examine how the increase in costs affects the profits. The computational results are presented to demonstrate the feasibility of a real case of smart marine shrimp farming.

Keywords: push strategy; supply chain network; SCN; mixed-integer linear programming; MILP; marine shrimp farming; giant freshwater prawns.

DOI: 10.1504/IJOR.2020.109757

International Journal of Operational Research, 2020 Vol.39 No.2, pp.262 - 277

Received: 04 Oct 2017
Accepted: 28 Jan 2018

Published online: 07 May 2020 *

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