当前位置:主页 > 管理论文 > 生产管理论文 >

智能电表周转箱回收车辆路径规划研究

发布时间:2018-07-21 19:43
【摘要】:智能电能表更换是智能电网建设的基础性工作,随着我国智能电网建设步伐的加快,用户对智能电能表的安装需求不断的增加,大规模安装应用智能电能表造成物流网络规模的扩大和物流量的增长。智能电表作为用户使用电量的计量设备,其质量必须得到保障才能发挥应有作用,彰显公平和公正。智能电表周转箱是具有特殊规格的储运包装物,在智能电表的检定、配送、仓储等物流过程中起着保护智能电表和方便配送的重要作用。 智能电能表的配送和检定工作的开展要求必须具有足够的周转箱,而周转箱具有回收价值大、重复利用率高、再使用成本低的特点。但由于智能电表周转箱需求产生的时间、地点、数量具有随机性,以及没有受到重视等原因导致周转箱回收问题没有得到很好的解决。本文主要通过对智能电能表周转箱回收车辆路径进行合理的规划,减少回收车辆行驶路程以实现回收成本最优化的目标。 首先,引入逆向物流、车辆路径问题等周转箱回收问题涉及的基础理论知识,为开展研究做准备。介绍智能电能表周转箱回收的现状,指出智能电表周转箱回收中存在的效率低下、成本过高等问题。提出合理规划智能电表周转箱回收车辆路径的思路,通过分析回收车辆路径与回收模式、回收网络之间的不可分割的关系,将后两者作为回收车辆路径问题的研究前提。分析电网公司的实际和智能电表周转箱回收需求产生数量、产生的时间等特点,选择了由电网公司自主开展智能电表周转箱回收、将智能电表配送网络和周转箱回收网络整合的方案。设计智能电表周转箱回收车辆路径方案,选择回程取货下同时解决智能电表配送和周转箱回收需求的车辆路径规划方案即(VRPSPD)。 最后,为合理回收智能电表周转箱提供决策支持,建立了智能电表周转箱回收的VRPSPD模型,并针对该问题设计遗传算法进行求解,取得了有建设性意义的方案。
[Abstract]:The replacement of smart watt-hour meter is the basic work of smart grid construction. With the acceleration of smart grid construction in China, the installation demand of smart watt-hour meter is increasing. Large-scale installation and application of intelligent watt-hour meters lead to the expansion of the scale of logistics network and the growth of the flow of goods. As the measuring equipment of electricity consumption, the quality of intelligent ammeter must be guaranteed in order to play its due role and show fairness and justice. Intelligent ammeter turnover box is a special storage and transportation packaging, which plays an important role in the verification, distribution, warehousing and other logistics process of intelligent ammeter protection and convenient distribution. The distribution and verification of intelligent watt-hour meter must have enough turnover box, which has the characteristics of high recovery value, high reuse efficiency and low reuse cost. However, due to the time, place and quantity of the demand for the intelligent ammeter turnover box is random, and no attention has been paid to it, the recovery problem of the turnover box has not been solved very well. In this paper, the rational planning of the recovery vehicle path of the intelligent watt-hour meter turnover box is carried out to reduce the driving distance of the recovered vehicle in order to achieve the goal of optimizing the recovery cost. Firstly, it introduces the basic theory of reverse logistics, vehicle routing and so on to prepare for the research. This paper introduces the current situation of the recovery of intelligent watt-hour meter turnover box, and points out the problems of low efficiency and high cost in the recovery of intelligent electric meter turnover box. This paper puts forward the idea of rationally planning the recovery vehicle path of intelligent ammeter turnover box. By analyzing the relationship between the recovery vehicle path and the recovery mode, the relationship between the recovery network and the latter two is considered as the premise of the research on the recovery vehicle routing problem. Based on the analysis of the actual situation of the power grid company and the characteristics of the quantity and time of the demand for the recovery of the intelligent ammeter turnover box, the author chooses the power grid company to carry out the recovery of the intelligent meter turnover box independently. The scheme of integrating intelligent meter distribution network and turnover box recovery network. The vehicle routing scheme of intelligent ammeter turnover box is designed, and the vehicle path planning scheme (VRPSPD) is chosen to solve the demand of intelligent ammeter distribution and turnover box recovery. Finally, the VRPSPD model of intelligent ammeter turnover box recovery is established, and the genetic algorithm is designed to solve the problem, and a constructive scheme is obtained.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:F426.61;TP301.6

【参考文献】

相关期刊论文 前10条

1 郭伏;隆颖;;带时窗回程取货的车辆路径问题的算法[J];东北大学学报;2006年05期

2 王发鸿;达庆利;;逆向物流单车辆运输策略[J];东南大学学报(自然科学版);2006年01期

3 孙丽君;胡祥培;王征;;车辆路径规划问题及其求解方法研究进展[J];系统工程;2006年11期

4 刘明广;李高扬;;物流配送车辆优化调度模型及其求解策略[J];工业工程;2007年02期

5 温惠英;李俊辉;周玮明;;适于车辆路径规划的改进型粒子群优化算法[J];华南理工大学学报(自然科学版);2009年07期

6 陈萍;黄厚宽;董兴业;;求解卸装一体化的车辆路径问题的混合启发式算法[J];计算机学报;2008年04期

7 刘晓,

本文编号:2136655


资料下载
论文发表

本文链接:https://www.wllwen.com/guanlilunwen/shengchanguanlilunwen/2136655.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户ba3f0***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com