Cold Chain Logistics Network Design for Fresh Agricultural Products with Government Subsidy

Hongli Zhu, Congcong Liu, Guanghua Wu and Yanjun Gao ()
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Hongli Zhu: School of Business Administration, Shandong Technology and Business University, Yantai 264005, China
Congcong Liu: School of Electrical Engineering, Shandong University, Jinan 250061, China
Guanghua Wu: Center for Mathematics and Physics, Weifang University of Science and Technology, Weifang 262700, China
Yanjun Gao: Institute of Free Trade Zones, Shandong Technology and Business University, Yantai 264005, China

Sustainability, 2023, vol. 15, issue 13, 1-13

Abstract: This paper investigates the cold chain logistics network design in the first mile for fresh agricultural products with government subsidy, involving the capacity, location of cold storage facilities, and transportation from production areas to cold storage facilities after harvest. A bi-level programming model is formulated considering the quality degradation of fresh agricultural products. Based on the proposition and KKT conditions, a solution method is designed for reformulating the bi-level model into a single-level programming model. Numerical experiments are conducted to verify the proposed model. Experimental results show that the solution method efficiently solves the problem of the cold chain logistics network design for fresh agricultural products with subsidy, and sensitivity analysis provides managerial insights for decision-makers.

Keywords: bi-level model; cold chain logistics; fresh agricultural products (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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