中文摘要：

车辆能量消耗不仅受到行驶距离的影响，还会受车辆载重量和车辆速度的影响．从节能低碳角度考虑，通过对带容量限制的物流配送车辆路径问题（capacitatedvehicleroutingproblem，CVRP）的扩展，建立了以最小化燃料消耗为优化目标的CVRP模型（fuel—consumption—minimizingcapacitatedvehicleroutingproblem，FCM—CVRP）；通过对比分析CVRP和FCM—CVRP的解空间以及求解复杂度发现，FCM—CVRP较CVRP更加难以求解；基于FCM—CVRP可行解的燃料消耗量值和车辆路径长度值之间的高度正相关关系，提出了求解FCM—CVRP的两阶段算法；并运用Benchmark算例验证了模型和求解算法的有效性．数据结果表明：与传统的CVRP相比，FCM—CVRP能够有效降低燃料消耗量，并在此基础上对物流配送公司提出管理上的相关建议．

英文摘要：

The amount of vehicle fuel consumption not only depends on the distance, but also on its load and speed. This paper presents the fuel consumption minimizing capacitated vehicle routing problem （FCM- CVRP） model, an extension of the classical capacitated vehicle routing problem （CVRP） with a broader and more comprehensive objective function. The objective of FCM-CVRP is to minimize fuel consumption. FCM- CVRP is more complicated to solve than CVRP due to the larger solution space size. A two-phrase algorithm to solve FCM-CVRP is proposed based on the positive correlation between the fuel consumption of vehicles and distance covered by vehicles. Computational experiments are performed on Benchmark instances. The results suggest that, contrast to the CVRP, FCM-CVRP has the potential of yielding savings in fuel consumption, and in the conclusion, managerial implications are summarized.