Location Optimization of Fresh Agricultural Products Cold Chain Distribution Center under Carbon Emission Constraints
Hongzhi Wang,
Haojie Ran and
Xiaohong Dang
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Hongzhi Wang: College of Economics and Management, Qingdao Agricultural University, Qingdao 266109, China
Haojie Ran: College of Economics and Management, Qingdao Agricultural University, Qingdao 266109, China
Xiaohong Dang: College of Humanities and Social Sciences, Qingdao Agricultural University, Qingdao 266109, China
Sustainability, 2022, vol. 14, issue 11, 1-24
Abstract:
This paper seeks to effectively realize energy saving and emission reduction in the process of location for fresh agricultural cold chain logistics. It is based on the traditional location for distribution center optimized for both freshness and carbon emissions. A bi-objective function location model was constructed to minimize the total cost and carbon emission and a two-stage heuristic algorithm was designed to solve the model. According to analyzing the location case of Y enterprise in Zhejiang Province, the THA had an average total cost optimization rate of 7.70% and an average carbon emission optimization rate of 10.23% compared to the WOA, while it had a rate of 12.77% and 14.12%, respectively, compared to the PSO. When the unit carbon emission cost increased from 0.02 dollar/kg to 0.06 dollar/kg, the comprehensive carbon emission cost increased by 42.07% and the total cost increased by 3.05%. Therefore, logistics enterprises can achieve the reduction of logistics costs and sustainable development through reasonable location for fresh agricultural products cold chain distribution centers.
Keywords: cold chain distribution centers of fresh agricultural products; carbon emission constraint; location selection for logistics; two-phase heuristic algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:11:p:6726-:d:828870
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