本文關(guān)鍵詞：電網(wǎng)工程項目物流成本優(yōu)化研究　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 物流成本 蟻群算法 神經(jīng)網(wǎng)絡(luò) 全壽命周期 電網(wǎng)工程

【摘要】：近年來，隨著國家電網(wǎng)的飛速發(fā)展，傳統(tǒng)的從采購、運輸、儲存到供應(yīng)的物流管理模式已經(jīng)不適應(yīng)現(xiàn)代物流技術(shù)發(fā)展的要求。因此，實現(xiàn)從庫存管理到外部資源管理的轉(zhuǎn)變，是電網(wǎng)企業(yè)降低經(jīng)營生產(chǎn)成本、增強(qiáng)企業(yè)市場競爭力的有效途徑。 本文運用系統(tǒng)科學(xué)的觀點，根據(jù)全壽命周期管理理念，將供應(yīng)鏈管理向上、下游延伸，深化物資從計劃、采購、倉儲、配送、運輸直至退貨和回收等環(huán)節(jié)的全過程分析研究，實現(xiàn)全壽命周期物流成本管理的總體效益最優(yōu)。本文的主要的研究內(nèi)容有： （1）深入研究電網(wǎng)工程項目物流成本的相關(guān)理論，，由物流成本的概念引申出基于全壽命周期的電網(wǎng)工程項目物流成本概念及其階段劃分；并對各個階段的物流工序作出詳細(xì)的描述，明確了它們之間的相互關(guān)系；最后對電網(wǎng)工程項目物流成本的影響因素進(jìn)行闡述。 （2）對電網(wǎng)工程項目物流成本問題進(jìn)行數(shù)學(xué)描述，提出基于工期——成本的物流成本優(yōu)化模型。采用作業(yè)成本法（ABC法）對物流成本進(jìn)行核算，并利用可變因素與不變因素相結(jié)合的方法確定物流工序的工期。 （3）基于基本蟻群算法，提出自適應(yīng)權(quán)重與人工神經(jīng)網(wǎng)絡(luò)相結(jié)合的改進(jìn)蟻群算法。將改進(jìn)后的蟻群算法應(yīng)用于物流成本優(yōu)化中，建立優(yōu)化模型并確定優(yōu)化步驟。 （4）對河北南網(wǎng)高壓輸變電項目實際情況進(jìn)行模擬，采用改進(jìn)蟻群算法的物流成本優(yōu)化模型進(jìn)行實證分析；結(jié)果表明：改進(jìn)的蟻群算法比基本蟻群算法更加容易得到最優(yōu)解，減少了計算時間，加快了收斂速度，提高了運算效率。利用改進(jìn)后的蟻群算法對電網(wǎng)工程項目物流成本進(jìn)行優(yōu)化，可以有效的降低物流管理費用，提高電網(wǎng)工程項目的整體質(zhì)量，對減少電網(wǎng)工程項目物流成本以及合理進(jìn)行資源優(yōu)化配置有著重要的意義。
[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.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.61;F252;F406.7

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