摘要
针对分布式OD网络中客户绿色偏好约束下的直运调度优化问题,采用两阶段方法即OD流最短路径算法和带时间窗的车辆路径问题(VRPTW)优化,得到环境污染最少的多车型直运调运方案.在特定算例中,15条OD流一共需要配置1辆能耗型车,4辆环保型车,与全部采用能耗型车运输相比能够降低32.6%的污染.通过环保车型混合调运,能够以低成本满足客户需求,并降低物流对环境的污染,实现经济效益与社会效益的统一.
To solve the direct shipment scheduling problem constrained by green preference of customers in distributed Origin-Destination transport network,a two-stage scheduling approach,i.e.,an OD flow shortest path algorithm and an optimization model for vehicle routing problem with time windows（VRPTW）,is proposed to obtain the multi-type vehicle scheduling solution with minimal transportation pollution.In a case study,one un-green vehicle and four green vehicles are deployed for 15 OD flows,and the pollution decreases 32.6 percent compared to the deployment with only un-green vehicles.This study shows that the proposed approach could satisfy the transport demand with lower cost and lower pollution,which balances the economic and social benefits.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2013年第2期253-256,共4页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(71101088
71171129)
社科基金重大资助项目(11&ZD169)
中国博士后科学基金一等资助项目(2011M500077)
教育部人文社科一般基金资助项目(10YJC630087)
教育部博士点基金资助项目(20113121120002)
上海市自然科学基金资助项目(10ZR1413200)
上海市自然科学基金创新行动计划资助项目(11510501900)
上海市教委基金资助项目(10YZ115)
关键词
分布式OD网络
绿色物流
绿色偏好
直运
两阶段方法
最短路径算法
VRPTW
调运优化
OD distribution network
green logistics
green preference
direct transport
two-stage approach
shortest path algorithm
VRPTW
shipment scheduling optimization
