| Title: |
Research on Green Technology Path of Cold-Chain Distribution of Fresh Products Based on Sustainable Development Goals. |
| Authors: |
Zhou, Lei, Li, Qianpeng, Li, Fachao, Jin, Chenxia |
| Source: |
Sustainability (2071-1050); Dec2022, Vol. 14 Issue 24, p16659, 14p |
| 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. [ABSTRACT FROM AUTHOR] |
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| Database: |
Complementary Index |
