基于顾客低碳行为偏好的选址-路径-库存集成优化模型与算法

Research on Collaboration of Location-Routing-Inventory Optimization Model Based on the Consumers' Low Carbon Behaviors Preference

针对自愿减排驱动下的顾客低碳行为偏好对选址-路径-库存决策的影响进行研究。首先推导了顾客低碳行为偏好下的市场需求函数和价格函数,并构建了考虑单位产品碳排放量和经济成本的多目标选址-路径-库存优化模型,通过对多目标优化模型的求解可得碳排放量和经济成本间的Pareto解集。在此基础上,定义了碳配额税的概念,可得顾客低碳行为偏好和碳配额税下的总收益函数。最后通过数值分析给出了自愿减排和监管减排两种机制共同作用下的企业减排方案和灵敏度分析。

This paper presents a location-routing-inventory problem which is researched with regard to the con- sumers low carbon behaviors preference under voluntary emission reduction driven. Firstly, the market demand function and price function are derived with consumers＇ low carbon behaviors preference considering, and then a multi-objective model of location-routing-inventory is constructed which can make trade-off the carbon emissions and economic cost. The Pareto sets can be obtained by solving the multi-objective model. On this basis, the carbon quotas tax is introduced, and the total revenue function can be obtained with consumers＇ low carbon behaviors preference and carbon quotas tax. Finally, the emissions reduction solution and sensitivity analysis are given under voluntary emissions reduction and regulatory emissions through the numerical analysis.