School of Economics and Management, Dalian University of Technology, Dalian, 116024, China.
ISILC, Victoria University, Melbourne, 80309, Australia.
Sci Rep. 2021 Sep 16;11(1):18483. doi: 10.1038/s41598-021-98028-2.
With the optimal operating cost and optimal carbon emission target of the chemical logistics companies, a low-carbon routing optimisation with a multi-energy type vehicle combined problem is proposed by considering the concept of the logistics companies' low-carbon behaviour. An integrated decision-making of multi-energy type vehicles combined strategy and route optimisation based on customer demand is presented, and an improved genetic algorithm is designed. A case study is then applied based on the data collected from the case research. The effectiveness of the improved genetic algorithm is tested. The two joint objectives of operating cost and carbon emission are examined through the cost analysis of environmental energy vehicles and traditional energy vehicles in different combination scenarios. The case analysis shows that a rational multi-energy type vehicle combination with route optimisation has a significant correlation with the operating cost and carbon emissions, while the environmental vehicle purchasing cost reduction and subsidy policy affect the operating cost.
针对化工物流企业的最优运营成本和最优碳排放目标，提出了一种低碳路径优化问题，该问题考虑了物流企业低碳行为的概念。提出了一种基于客户需求的多能源类型车辆组合策略和路径优化的综合决策，并设计了一种改进的遗传算法。然后，基于案例研究中收集的数据进行了案例研究。测试了改进遗传算法的有效性。通过不同组合场景下环境能源车和传统能源车的成本分析，检验了运营成本和碳排放这两个联合目标。案例分析表明，合理的多能源类型车辆组合与路径优化与运营成本和碳排放密切相关，而环境车辆采购成本的降低和补贴政策则会影响运营成本。
