电力企业物流网络优化系统设计与实现

发布时间：2018-01-09 05:20

本文关键词：电力企业物流网络优化系统设计与实现　出处：《上海交通大学》2013年硕士论文　论文类型：学位论文

【摘要】：电力行业是关系国计民生的重要基础能源行业，近年来随着电力体制改革的深入以及电力市场开放程度的加深，电力企业成本以及其核心竞争力越来越受到电力物资管理水平的影响。电力物资管理虽然与其他企业物资管理有相似之处，但基于电力企业的特殊行业属性，电力物资的选用和匹配要求要高于一般企业。目前我国电力物资仓储管理中，还存在着物资规范建设滞后、仓库归属分散、技术手段落后等问题。建立有效而稳定的电力企业物流网络，是保障电力物资流通顺畅的重要手段之一。针对电力企业物流网络优化问题，本文主要做了以下三个方面的工作。第一，在分析我国电力企业物资管理现状和发展趋势的基础上，将电力企业的物流拓扑结构改进为“虚拟中心—区域库—周转库”的三级结构，配送方式由“一对一”模式改进为“多对多”模式，使之更为适合电力企业的物资管理作业。提出了基于仓储配送特性的物资分类方法，通过引入影响电力物资管理的多个现实因素，提高电力物资的管控水平。第二，综合考虑电力物资需求、物资分类和物流成本等物流网络优化因素，，建立了基于成本与服务水平决策的多目标物流网络优化模型。采用基于模拟退火的多种群协同粒子群算法对模型求解，根据粒子群被动局部模型以及混合策略改进方式，对粒子群算法进行改进，引入多个种群，利用模拟退火算法控制算法收敛，实现算法之间的互补。第三，结合某网省物资供应公司物流网络优化设计，采用包括前端定性分析、中端定量分析以及后端定性分析的三阶段物流网络优化方法论，将定性分析与定量计算有机结合，进行了电力物流网络优化方法的应用实践，取得了满意的应用效果。本文首先阐述了电力企业物流网络优化的重要性与必要性。然后对国内外物流网络设计的学术研究和企业实践进行综述，找出目前研究存在的问题，确定了研究的技术路线。接着重点研究了电力物流网络拓扑结构设计和物资分类方法，基于成本与服务水平决策的多目标电力物流网络优化模型构建方法，以及采用基于模拟退火的多种群协同粒子群算法对模型进行求解的方法。在此基础上开发了一套电力企业物流网络优化决策系统，详细阐述了系统的总体架构、系统用例说明以及系统的实现，结合某网省公司电力物流网络的设计，运用三阶段的电力物流网络优化方法论进行应用实践。最后对全文进行总结，并对未来研究方向提出展望。
[Abstract]:The electric power industry is an important basis for the energy industry in recent years as beneficial to the people's livelihood, the reform of electric power system and electricity market deepening of the degree of openness of power enterprise cost as well as its core competitiveness is more and more influenced by power material management. Although the power supplies management and other enterprise material management is similar, but the special attributes of the industry of electric power enterprises based on the selection of power supplies and matching requirements than ordinary enterprises. At present our country electric power storage materials management, there are still lagging material standard construction, warehouse ownership dispersion, technical means backward. The establishment of electric power enterprise logistics network is effective and stable, is one of the important measures to guarantee the smooth circulation of power supplies.
Aiming at the optimization problem of the electric power enterprise logistics network, this paper mainly do the following three aspects. First, based on the analysis of China's electric power enterprise material management situation and the development trend of logistics enterprises, the topological structure of power is improved three level structure of the virtual center of regional library to Library, distribution mode from "one to one" mode for improvement of many to many model, make it more suitable for the electric power enterprise material management practices. Put forward the material classification method based on the characteristics of warehousing and distribution, by introducing the effect of management of electric power supplies a number of practical factors, improve the power supplies control level. Second, considering the power material requirements, material classification and logistics cost and logistics network optimization factors, this paper establishes an optimization model of cost and service level of logistics network based on multi objective decision making. The multi population Co based on simulated annealing With the particle swarm algorithm to solve the model, improved method based on particle swarm passive local model and hybrid strategy, improved particle swarm algorithm, many species are introduced, simulated annealing algorithm is used to control the convergence of the algorithm, to achieve complementarity between the algorithms. Third, with a net, material supply company logistics network optimization design, including front-end using qualitative in the end of analysis, quantitative analysis and qualitative back-end three stage logistics network optimization methodology, qualitative analysis and quantitative calculation combining the practice and method to optimize the power of logistics network and achieves satisfactory results.
This paper expounds the importance and necessity of the optimization of the logistics network of electric power enterprise. Then the academic research and enterprise practice of domestic and international logistics network design review, find out the existing problems and the technical route of the research. Then the paper focuses on the material flow of power network topology design and material classification method, cost and service the level of decision of multi-objective power logistics network optimization model construction method based on the method and simulated annealing multi swarm cooperative particle swarm algorithm to solve the model. On the basis of development based on a set of power enterprise logistics network optimization decision system, elaborated on the overall system architecture, system realization and system use case description combined with the design of power network, a network logistics company, using three stages power logistics network optimization methodology for practical application Finally, the full text is summarized, and the future research direction is put forward.

【学位授予单位】：上海交通大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F253.9;F426.61;TP311.52

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