Management School, Wuhan College, Wuhan 430212, China.
School of Information Management, Central China Normal University, Wuhan 430079, China.
Int J Environ Res Public Health. 2022 Jul 16;19(14):8675. doi: 10.3390/ijerph19148675.
The need to reduce carbon emission to cope with climate change has gradually become a global consensus, which also poses a great challenge to cold-chain logistics companies. It forces them to implement green distribution strategies. To help the distribution companies reduce carbon emission, this paper studies two aspects-carbon tax value and investing in the freshness-keeping cost-and proposes corresponding solutions. A new green vehicle-routing model for fresh agricultural products with the goal of minimizing the total cost is proposed. To solve the model proposed, an improved ant-colony optimization (IACO) is designed specifically. On one hand, the experimental results show that the increase in carbon tax will restrict the carbon emission behaviors of the distribution companies, but it will also reduce their economic benefits to a certain extent, at the same time. On the other hand, investing in the freshness-keeping cost can help actively achieve the carbon emission reduction target, reduce the loss of fresh agricultural products in the distribution process, improve the company's economic benefits and satisfy customers. The comparison results of different algorithms prove that the IACO proposed in this paper is more effective in solving the model, which can help increase the economic benefits of the companies and reduce carbon emission. This study provides a new solution for cold-chain logistics distribution companies to reduce carbon emission in the distribution process, and also provides a reference for government departments to formulate carbon tax policies.
应对气候变化而减少碳排放的需求逐渐成为全球共识,这也给冷链物流企业带来了巨大的挑战。这迫使他们实施绿色配送策略。为了帮助配送公司减少碳排放,本文研究了碳税价值和投资保鲜成本两个方面,并提出了相应的解决方案。提出了一个新的以最小化总成本为目标的绿色农产品车辆路径模型。为了解决所提出的模型,专门设计了一种改进的蚁群优化算法(IACO)。一方面,实验结果表明,碳税的增加将限制配送公司的碳排放行为,但同时也会在一定程度上降低其经济效益。另一方面,投资保鲜成本可以帮助积极实现碳减排目标,减少配送过程中农产品的损失,提高公司的经济效益,满足客户需求。不同算法的比较结果证明了本文提出的 IACO 在解决模型方面更有效,可以帮助提高公司的经济效益和减少碳排放。本研究为冷链物流配送公司在配送过程中减少碳排放提供了新的解决方案,也为政府部门制定碳税政策提供了参考。