Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals

Lei Zhou, Qianpeng Li (), Fachao Li and Chenxia Jin
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Lei Zhou: School of Economics and Management, Hebei University of Science & Technology, Shijiazhuang 050018, China
Qianpeng Li: School of Economics and Management, Hebei University of Science & Technology, Shijiazhuang 050018, China
Fachao Li: School of Economics and Management, Hebei University of Science & Technology, Shijiazhuang 050018, China
Chenxia Jin: School of Economics and Management, Hebei University of Science & Technology, Shijiazhuang 050018, China

Sustainability, 2022, vol. 14, issue 24, 1-14

Abstract: In order to meet customers’ demand for freshness and the time window of fresh product distribution, and achieve the sustainable development of the fresh product cold-chain logistics industry, green technology is used to solve the optimization problem of the cold-chain distribution path of a variety of fresh products, taking transportation, refrigeration, and carbon emission cost as the objective functions. A hybrid particle swarm optimization (HPSO) algorithm was designed to solve this problem with the minimum freshness requirement of different kinds of cold-chain distribution. The results show that when the minimum freshness requirement of each fresh product is 75%, the total distribution cost obtained by the hybrid particle swarm optimization algorithm is CNY 4218, and the customer satisfaction is 88.22%. While satisfying the freshness constraint, the results obtained by the particle swarm optimization algorithm reduce the total distribution cost by CNY 362 and improve customer satisfaction by 3.82%. Green technology is beneficial to reduce vehicle pollution emissions and the loss of fresh product resources, thus achieving sustainable development.

Keywords: green technology; path planning; cold-chain logistics; total distribution cost; hybrid particle swarm optimization; multi objective optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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