Optimization of Sustainable Bi-Objective Cold-Chain Logistics Route Considering Carbon Emissions and Customers’ Immediate Demands in China

Zhichao Ma, Jie Zhang, Huanhuan Wang () and Shaochan Gao
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Zhichao Ma: School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China
Jie Zhang: School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China
Huanhuan Wang: School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China
Shaochan Gao: School of Management Engineering and Business, Hebei University of Engineering, Handan 056038, China

Sustainability, 2023, vol. 15, issue 7, 1-23

Abstract: To meet the national green development trend and realize the sustainable development of human society, the carbon emission in cold-chain distribution is costed. We plan the vehicle distribution path reasonably and optimize the distribution path locally for immediate demand to balance the economic benefits of enterprises and customer satisfaction while reducing the environmental pollution. To minimize distribution cost and maximize customer satisfaction, we design an improved ant colony algorithm to solve the initial distribution path and use the insertion method to solve the immediate customer demand. Taking the actual data of enterprise M as an example, we obtain the optimal distribution path using MATLAB software and optimize the distribution path locally according to the immediate customer demand. The results show that the proposed model and the designed algorithm are practical in satisfying the sustainable development of cold-chain logistics in China.

Keywords: cold-chain logistics; carbon emissions; immediate needs of customers; improved ant colony algorithm (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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