客户绿色偏好约束下的直运调度优化  

Direct shipment scheduling constrained by green preference of customers

作　　者：易宣齐[1] 胡志华[1,2] 

机构地区：[1]上海海事大学物流研究中心,上海201306 [2]同济大学经济与管理学院,上海200092

出　　处：《辽宁工程技术大学学报（自然科学版）》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)

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.

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 

分 类 号：U492.22[交通运输工程—交通运输规划与管理]