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电网工程项目物流成本优化研究

发布时间:2018-01-02 11:19

  本文关键词:电网工程项目物流成本优化研究 出处:《华北电力大学》2014年硕士论文 论文类型:学位论文


  更多相关文章: 物流成本 蚁群算法 神经网络 全寿命周期 电网工程


【摘要】:近年来,随着国家电网的飞速发展,传统的从采购、运输、储存到供应的物流管理模式已经不适应现代物流技术发展的要求。因此,实现从库存管理到外部资源管理的转变,是电网企业降低经营生产成本、增强企业市场竞争力的有效途径。 本文运用系统科学的观点,根据全寿命周期管理理念,将供应链管理向上、下游延伸,深化物资从计划、采购、仓储、配送、运输直至退货和回收等环节的全过程分析研究,实现全寿命周期物流成本管理的总体效益最优。本文的主要的研究内容有: (1)深入研究电网工程项目物流成本的相关理论,,由物流成本的概念引申出基于全寿命周期的电网工程项目物流成本概念及其阶段划分;并对各个阶段的物流工序作出详细的描述,明确了它们之间的相互关系;最后对电网工程项目物流成本的影响因素进行阐述。 (2)对电网工程项目物流成本问题进行数学描述,提出基于工期——成本的物流成本优化模型。采用作业成本法(ABC法)对物流成本进行核算,并利用可变因素与不变因素相结合的方法确定物流工序的工期。 (3)基于基本蚁群算法,提出自适应权重与人工神经网络相结合的改进蚁群算法。将改进后的蚁群算法应用于物流成本优化中,建立优化模型并确定优化步骤。 (4)对河北南网高压输变电项目实际情况进行模拟,采用改进蚁群算法的物流成本优化模型进行实证分析;结果表明:改进的蚁群算法比基本蚁群算法更加容易得到最优解,减少了计算时间,加快了收敛速度,提高了运算效率。利用改进后的蚁群算法对电网工程项目物流成本进行优化,可以有效的降低物流管理费用,提高电网工程项目的整体质量,对减少电网工程项目物流成本以及合理进行资源优化配置有着重要的意义。
[Abstract]:In recent years, with the rapid development of the State Grid, the traditional logistics management model from procurement, transportation, storage to supply has been unable to meet the requirements of the development of modern logistics technology. The transformation from inventory management to external resource management is an effective way for power grid enterprises to reduce their operating costs and enhance their market competitiveness. Based on the concept of life-cycle management, this paper applies the system science to expand the supply chain management from planning, purchasing, warehousing and distribution. The whole process analysis and research of transportation to return and recovery are carried out to achieve the optimal overall benefit of logistics cost management in the whole life cycle. The main research contents of this paper are as follows: 1) deeply studying the related theories of logistics cost of power grid engineering project, and extending the concept of logistics cost based on the whole life cycle and its phase division from the concept of logistics cost; At the same time, the detailed description of each stage of the logistics process is given, and the relationship between them is clarified. Finally, the factors affecting logistics cost of power grid engineering project are expounded. Secondly, the logistics cost of power network project is described, and the optimization model of logistics cost based on time-cost is put forward. The ABC method is adopted to calculate the logistics cost. The method of combination of variable factor and invariant factor is used to determine the time limit of logistics process. 3) based on the basic ant colony algorithm, an improved ant colony algorithm combining adaptive weight and artificial neural network is proposed, and the improved ant colony algorithm is applied to logistics cost optimization. Establish the optimization model and determine the optimization steps. Finally, the paper simulates the actual situation of high voltage power transmission and transformation project in Hebei South Power Grid, and adopts the logistics cost optimization model of improved ant colony algorithm to carry on the empirical analysis. The results show that the improved ant colony algorithm is easier to get the optimal solution than the basic ant colony algorithm, reduces the computation time and speeds up the convergence speed. The improved ant colony algorithm is used to optimize the logistics cost of power grid engineering project, which can effectively reduce the cost of logistics management and improve the overall quality of power grid project. It is of great significance to reduce the logistics cost of power grid project and to optimize the allocation of resources.
【学位授予单位】:华北电力大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F426.61;F252;F406.7

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