商品配送中车辆调度随机模型的建立及其求解  

Modelling and Solution to the Stochastic Model of Vehicle Scheduling in Commodity Delivery

作　　者：程赐胜[1] 陈宝星[1] 关仕罡[1] 

机构地区：[1]长沙理工大学交通运输学院,湖南长沙410076

出　　处：《系统工程》2004年第4期66-70,共5页Systems Engineering

摘　　要：在物流活动的商品配送运输中,由于受不确定因素的干扰,对配送车辆调度的适时性造成了很大影响,从而增加了配送成本和降低了配送的服务质量。本文针对这一问题,建立一种车辆调度的随机模型。通过实例并运用遗传算法对模型求解,极大地提高车辆调度适时性的保证度和配送运输服务的质量,说明该模型及算法具有较好的应用价值。At present, the uncertain factor has serious effect on vehicle scheduling in commodity delivery, and this effect has made the cost increased and reduced the quality of commodity delivery.Aimed at this problem,this paper sets up a stochastic model about vehicle scheduling and solves it by Genetic Algorithm. The case, illustrated in the paper, indicates that the (commodity) has been delivered in time, at a high quality of the service of commodity delivery. According to the above, this (model) is worthy of applying.

关 键 词：商品配送 车辆调度随机模型 经济效益 遗传算法 物流活动 商品流通 

分 类 号：F713[经济管理—产业经济]