大鵬公司備件庫存管理優(yōu)化研究
發(fā)布時間：2018-07-24 08:15
【摘要】：自大鵬公司作為中國液化天然氣首個試點項目投產運營以來,液化天然氣進口項目如雨后春筍般,來勢迅猛。近年,隨著各個項目陸續(xù)投產,公司目前面臨著日益加劇的市場競爭；與此同時,伴隨著國際油價的高位運行,公司也面臨著來自上游供應短缺的風險,利潤指標壓力加大。而在下游,公司約有63%的進口液化天然氣供應電廠用戶,37%供應珠江三角洲的主要城市燃氣用戶,安全生產和運營是第一要務。一旦由于設備故障導致停產,將給下游供氣帶來很大的影響；因故障備件不能及時供應導致維修時間延長、生產不能及時恢復的影響更大。高昂的缺貨成本導致不得不儲備更為充足數(shù)量的備件,以此維持較高的服務水平,應對不時之需。如何在保證一定的服務水平下,優(yōu)化備件庫存結構,降低庫存資金占用以控制成本就成為大鵬公司一項新的課題。本文首先對大鵬公司備件庫存現(xiàn)狀進行分析,描述了庫存結構、庫存資金占用情況等,以此發(fā)掘和細分研究對象,為后續(xù)備件庫存優(yōu)化模型構建提供數(shù)據(jù)支撐。隨后,闡述了大鵬公司在備件庫存管理中存在的問題和難點,以及推進備件庫存管理優(yōu)化的有利因素和環(huán)境。在上述研究基礎上,確定了備件庫存優(yōu)化模型的目標,即保證在一定的服務水平下、備件庫存結構得以優(yōu)化并且?guī)齑尜Y金能處于相對合理的水平,達到既不影響生產的平穩(wěn)運行又能最大限度地降低成本的目的。本文重點對隨機型需求備件進行了研究并搭建了基于兩階段分類的管理模型,對各類備件確立了庫存檢查周期、庫存控制策略,并對模型中的重要參數(shù)如安全庫存數(shù)量、重采購點、最高庫存量、訂購點等的確定方式進行了詳盡闡述。為避免模型在實際應用中的僵化而導致偏離目標的情形,文中還對模型的動態(tài)化調整如數(shù)據(jù)的處理和分析、備件分類動態(tài)維護、需求預測的調整等等加以闡述。綜合對確定型需求備件的管理,最后形成了面向整個公司的基于三階段分類的動態(tài)化備件庫存控制長效機制。文章最后還選取了“一級活塞導向環(huán)”(庫存編碼202040420)作為本文研究成果的算例分析,并提出了管理啟示,任何一個模型在實踐中都不能僵化,需要適時進行調整以確保其適用性。本文中所構建模型及調整機制,可以在保證庫存結構有效性的同時,大幅降低庫存資金占用。
[Abstract]:Since Dapeng Company was put into operation as the first pilot project of liquefied natural gas in China, the import projects of liquefied natural gas have sprung up rapidly. In recent years, the company is facing the increasingly fierce market competition with the production of various projects. At the same time, with the high international oil price, the company is also faced with the risk of supply shortage from upstream, and the pressure of profit index is increased. Downstream, about 63 percent of the company's imported LNG supplies power plants, or 37 percent of its major urban gas users in the Pearl River Delta, with safe production and operation as the top priority. Once the equipment failure leads to the shutdown, it will have a great impact on the downstream gas supply; because the fault spare parts can not be supplied in time, the maintenance time will be prolonged, and the production can not be restored in time. High shortage costs necessitate more spare parts in order to maintain a high level of service to meet unexpected needs. How to optimize the inventory structure of spare parts and reduce the cost of stock in order to control the cost has become a new topic in Dapeng Company. This paper firstly analyzes the status quo of spare parts inventory in Dapeng Company, describes the inventory structure, stock capital occupation and so on, in order to explore and subdivide the research object, and provide the data support for the follow-up spare parts inventory optimization model construction. Then the problems and difficulties in spare parts inventory management of Dapeng Company and the favorable factors and environment to promote the optimization of spare parts inventory management are expounded. On the basis of the above research, the objective of the spare parts inventory optimization model is determined, that is, to ensure that the spare parts inventory structure can be optimized and the inventory funds can be at a relatively reasonable level under a certain service level. To achieve the goal of not affecting the smooth operation of production and to minimize the cost. In this paper, the stochastic demand for spare parts is studied and the management model based on two-stage classification is built. The inventory inspection cycle and inventory control strategy are established for all kinds of spare parts. The important parameters of the model such as the quantity of safe inventory are also discussed. Re-purchase points, maximum inventory, ordering points, etc., are described in detail. In order to avoid the fossilization of the model in practical application, the dynamic adjustment of the model such as data processing and analysis, the dynamic maintenance of spare parts classification, the adjustment of demand forecast, etc. Finally, a long-term mechanism of dynamic spare parts inventory control based on three-stage classification is formed for the whole company. At the end of the paper, we select "one Piston steering Ring" (inventory code 202040420) as an example to analyze the results of this paper, and put forward the management inspiration. No model can be rigid in practice. Adjustments need to be made in time to ensure their applicability. The model and adjustment mechanism in this paper can ensure the validity of inventory structure and greatly reduce the capital occupation of inventory at the same time.
【學位授予單位】：蘭州大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F274;F426.22
本文編號：2140774
[Abstract]:Since Dapeng Company was put into operation as the first pilot project of liquefied natural gas in China, the import projects of liquefied natural gas have sprung up rapidly. In recent years, the company is facing the increasingly fierce market competition with the production of various projects. At the same time, with the high international oil price, the company is also faced with the risk of supply shortage from upstream, and the pressure of profit index is increased. Downstream, about 63 percent of the company's imported LNG supplies power plants, or 37 percent of its major urban gas users in the Pearl River Delta, with safe production and operation as the top priority. Once the equipment failure leads to the shutdown, it will have a great impact on the downstream gas supply; because the fault spare parts can not be supplied in time, the maintenance time will be prolonged, and the production can not be restored in time. High shortage costs necessitate more spare parts in order to maintain a high level of service to meet unexpected needs. How to optimize the inventory structure of spare parts and reduce the cost of stock in order to control the cost has become a new topic in Dapeng Company. This paper firstly analyzes the status quo of spare parts inventory in Dapeng Company, describes the inventory structure, stock capital occupation and so on, in order to explore and subdivide the research object, and provide the data support for the follow-up spare parts inventory optimization model construction. Then the problems and difficulties in spare parts inventory management of Dapeng Company and the favorable factors and environment to promote the optimization of spare parts inventory management are expounded. On the basis of the above research, the objective of the spare parts inventory optimization model is determined, that is, to ensure that the spare parts inventory structure can be optimized and the inventory funds can be at a relatively reasonable level under a certain service level. To achieve the goal of not affecting the smooth operation of production and to minimize the cost. In this paper, the stochastic demand for spare parts is studied and the management model based on two-stage classification is built. The inventory inspection cycle and inventory control strategy are established for all kinds of spare parts. The important parameters of the model such as the quantity of safe inventory are also discussed. Re-purchase points, maximum inventory, ordering points, etc., are described in detail. In order to avoid the fossilization of the model in practical application, the dynamic adjustment of the model such as data processing and analysis, the dynamic maintenance of spare parts classification, the adjustment of demand forecast, etc. Finally, a long-term mechanism of dynamic spare parts inventory control based on three-stage classification is formed for the whole company. At the end of the paper, we select "one Piston steering Ring" (inventory code 202040420) as an example to analyze the results of this paper, and put forward the management inspiration. No model can be rigid in practice. Adjustments need to be made in time to ensure their applicability. The model and adjustment mechanism in this paper can ensure the validity of inventory structure and greatly reduce the capital occupation of inventory at the same time.
【學位授予單位】：蘭州大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F274;F426.22
【參考文獻】
相關期刊論文 前9條
1 丁留明;崔南方;李晉;;基于設備使用周期的備件庫存控制模型研究[J];工業(yè)工程;2007年03期
2 趙振峰,陳榮秋,崔南方;流程式生產企業(yè)備件兩級存儲模式研究[J];工業(yè)工程與管理;2004年06期
3 袁文彬;朱建新;莊力健;方向榮;;基于風險的石化備件庫存優(yōu)化技術研究及工程應用[J];石油和化工設備;2012年06期
4 馮楊;尹迪;羅兵;;基于LS-SVM的間斷性需求備件預測[J];艦船電子工程;2010年06期
5 李波,趙志彥,段鐵英;一種多準則庫存分類的混合預測方法[J];計算機集成制造系統(tǒng)-CIMS;2004年05期
6 肖曉偉;肖迪;林錦國;肖玉峰;;多目標優(yōu)化問題的研究概述[J];計算機應用研究;2011年03期
7 謝青;王芙云;張建;李成標;;我國石油管道公司備件庫存管理模式研究[J];物流工程與管理;2013年05期
8 郗祥遠;高敬江;王福德;鐘桂香;;基于層次分析法的備品備件庫存管理分類模型及應用[J];石油工程建設;2012年01期
9 顧玉琦;王正肖;潘曉弘;;基于服務的慢速流動備件儲量問題[J];浙江大學學報(工學版);2009年12期
相關博士學位論文 前2條
1 張瑞;不常用備件需求預測模型與方法研究[D];華中科技大學;2011年
2 趙振峰;流程式生產企業(yè)備件供應管理研究[D];華中科技大學;2004年
，本文編號：2140774
本文鏈接：http://sikaile.net/qiyeguanlilunwen/2140774.html
