【摘要】：隨著經(jīng)濟全球化的發(fā)展,物流業(yè)作為一個新興產(chǎn)業(yè),正在全球范圍內(nèi)迅速興起,在企業(yè)管理控制中,物流管理的地位和作用與日俱增。鋼鐵企業(yè)作為典型的制造類企業(yè),其生產(chǎn)物流成本在企業(yè)物流總成本中占有很大的份額,庫存成本又是企業(yè)生產(chǎn)物流成本的重要組成部分,控制企業(yè)庫存成本能夠有效的降低企業(yè)的物流成本。在鋼鐵企業(yè)運營生產(chǎn)過程中,原燃料物流量占企業(yè)總物流量的60%以上,因此,對鋼鐵企業(yè)原燃料庫存控制的優(yōu)化研究具有重要的理論和實踐意義。 本文針對鋼鐵企業(yè)生產(chǎn)物流的特殊性,分析了鋼鐵企業(yè)原燃料及其庫存的特點和存在的問題,針對鋼鐵企業(yè)原燃料庫存普遍存在的問題結(jié)合適當(dāng)?shù)膸齑婵刂品椒?提出鋼鐵企業(yè)原燃料庫存控制策略。通過對ABC庫存分類方法的研究與改進,分別從價格因素和消耗量因素的角度應(yīng)用模糊聚類分析方法對鋼鐵企業(yè)原燃料進行分類,重點對價格敏感和消耗量敏感的原燃料提出不同的庫存控制策略。根據(jù)分類方法中涉及的價格因素和消耗量因素在設(shè)置原燃料的安全庫存時,從提前期變動和消耗量變動的角度分析其對安全庫存的影響,結(jié)合鋼鐵企業(yè)生產(chǎn)實際,建立主要原燃料庫存優(yōu)化模型,應(yīng)用遺傳算法對其采購量和庫存量進行優(yōu)化。以XF鋼鐵廠為例進行了實證研究,運用改進的ABC分類法和模糊聚類分析方法對其主要原燃料進行分類,選取不同類別的主要原燃料計算安全庫存并建立庫存優(yōu)化模型,利用遺傳算法求解主要原燃料的最佳采購量和最佳庫存量,提出了XF鋼鐵廠原燃料庫存控制優(yōu)化方案。
[Abstract]:With the development of economic globalization, logistics industry, as a new industry, is rising rapidly all over the world. In the enterprise management control, the position and function of logistics management is increasing day by day. As a typical manufacturing enterprise, the production logistics cost of iron and steel enterprises accounts for a large share of the total logistics cost of the enterprise, and the inventory cost is an important part of the production logistics cost of the enterprise. Controlling the inventory cost of the enterprise can effectively reduce the logistics cost of the enterprise. In the operation and production process of iron and steel enterprises, the raw fuel flow accounts for more than 60% of the total material flow of the enterprise. Therefore, it is of great theoretical and practical significance to study the optimization of raw fuel inventory control in iron and steel enterprises. In view of the particularity of production logistics in iron and steel enterprises, this paper analyzes the characteristics and existing problems of raw fuel and its inventory in iron and steel enterprises, and combines the appropriate inventory control methods with the common problems in raw fuel inventory in iron and steel enterprises. The control strategy of raw fuel inventory in iron and steel enterprises is put forward. Through the research and improvement of ABC inventory classification method, the raw fuel of iron and steel enterprises is classified by fuzzy cluster analysis method from the point of view of price factor and consumption factor, respectively. Different inventory control strategies are put forward for price-sensitive and consumption-sensitive raw fuels. According to the price factors and consumption factors involved in the classification method, when setting up the safe inventory of raw fuel, the influence on the safe inventory is analyzed from the point of view of the change of lead time and consumption, and combined with the production practice of iron and steel enterprises, The optimization model of main raw fuel inventory is established, and the purchase volume and inventory are optimized by genetic algorithm. Taking XF iron and steel works as an example, the improved ABC classification method and fuzzy cluster analysis method are used to classify the main raw fuels, and different types of main raw fuels are selected to calculate the safe inventory and establish the inventory optimization model. The genetic algorithm is used to solve the optimal purchase quantity and inventory of the main raw fuel, and the optimization scheme of raw fuel inventory control in XF iron and steel plant is put forward.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F426.31;F274

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