以生產(chǎn)基地為核心的聯(lián)合庫存管理
發(fā)布時間：2019-02-15 03:41
【摘要】：本文是對以生產(chǎn)基地為核心多級庫存管理方法的研究。 首先，對M公司亞太區(qū)醫(yī)療生產(chǎn)基地的客戶進行分析，確定研究對象是一個包含制造商、分銷商、零售商及終端客戶的三級供應鏈庫存模型。結(jié)合醫(yī)療生產(chǎn)基地所供應產(chǎn)品的特點及生產(chǎn)組織形式，闡述了當前采用了以需求預測為原動力的“推”式的供應鏈模式。通過對需求預測準確率的分析確定了需求信息扭曲導致了當前低庫存周轉(zhuǎn)率和高呆滯庫存率。 然后，繪制當前供應鏈庫存結(jié)構(gòu)及倉庫點的模型，鎖定了分散式的庫存管理策略是導致需求信息扭曲的根本原因，同時信息系統(tǒng)不完善、低效率的信息傳遞，缺少有效的溝通渠道及標準流程又加劇了信息的扭曲程度。本文基于對根本原因的具體分析,提出了通過建立數(shù)據(jù)共享平臺,應用聯(lián)合庫存管理策略，加強供應鏈節(jié)點企業(yè)間的信息共享和協(xié)作，把庫存管理轉(zhuǎn)化為連接企業(yè)間的紐帶和橋梁，實施以生產(chǎn)基地為核心的聯(lián)合管理策略。通過建立GDMR數(shù)據(jù)平臺，實現(xiàn)了信息在各節(jié)點企業(yè)間的及時、有效的傳遞，增強生產(chǎn)基地對下游分銷網(wǎng)絡節(jié)點有效需求信息的整合。同時為了盡可能的消除理性及非理性的需求信息的扭曲，通過系統(tǒng)基于歷史需求的統(tǒng)計函數(shù)計算，輸出需求統(tǒng)計預測，為企業(yè)間共同制定庫存策略提供了數(shù)據(jù)支持，為聯(lián)合庫存管理點奠定了牢固的基礎。把聯(lián)合庫存管理從單純的減低成本，轉(zhuǎn)化基于一定服務水平和客戶滿意度平衡機制，，并進行了從理論技術(shù)轉(zhuǎn)化為實際應用的具體驗證，證明了該策略的有效性及可執(zhí)行性，對其它生產(chǎn)基地具有一定的借鑒意義。 最后，根據(jù)本文的研究成果，分析了尚有欠缺的部分，并對未來具體的研究方向提出了設想。
[Abstract]:This paper is a study of multilevel inventory management based on production base. Firstly, this paper analyzes the customers of M Company's Asia Pacific Medical production Base, and determines that the research object is a three-level supply chain inventory model which includes manufacturers, distributors, retailers and terminal customers. Combined with the characteristics of the products supplied by the medical production base and the production organization, this paper expounds the current "push" supply chain mode, which is driven by demand forecasting. By analyzing the accuracy of demand prediction, it is found that the distortion of demand information leads to low inventory turnover and high stagnant inventory rate. Then, drawing the model of inventory structure and warehouse point of supply chain, locking the decentralized inventory management strategy is the root cause of the distortion of demand information, at the same time, the information system is imperfect and inefficient information transmission. The lack of effective communication channels and standard processes exacerbates the distortion of information. Based on the concrete analysis of the root causes, this paper proposes to strengthen the information sharing and cooperation among the supply chain node enterprises by establishing the data sharing platform and applying the joint inventory management strategy. The inventory management is transformed into the link and bridge between the enterprises, and the joint management strategy based on the production base is implemented. Through the establishment of GDMR data platform, the timely and effective transmission of information among the node enterprises is realized, and the integration of the effective demand information of the downstream distribution network node in the production base is enhanced. At the same time, in order to eliminate the distortion of rational and irrational demand information as much as possible, through the system based on the historical demand statistical function calculation, output demand statistics forecast, which provides data support for enterprises to jointly formulate inventory strategy. For the joint inventory management point laid a solid foundation. The joint inventory management is changed from simple cost reduction, based on a certain level of service and customer satisfaction balance mechanism, and the concrete verification from theory and technology to practical application is carried out, which proves that the strategy is effective and executable. It has certain reference significance to other production bases. Finally, according to the research results of this paper, the paper analyzes the missing parts, and puts forward some tentative ideas for the future research direction.
【學位授予單位】：上海交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F274;F416.4
本文編號：2422925
[Abstract]:This paper is a study of multilevel inventory management based on production base. Firstly, this paper analyzes the customers of M Company's Asia Pacific Medical production Base, and determines that the research object is a three-level supply chain inventory model which includes manufacturers, distributors, retailers and terminal customers. Combined with the characteristics of the products supplied by the medical production base and the production organization, this paper expounds the current "push" supply chain mode, which is driven by demand forecasting. By analyzing the accuracy of demand prediction, it is found that the distortion of demand information leads to low inventory turnover and high stagnant inventory rate. Then, drawing the model of inventory structure and warehouse point of supply chain, locking the decentralized inventory management strategy is the root cause of the distortion of demand information, at the same time, the information system is imperfect and inefficient information transmission. The lack of effective communication channels and standard processes exacerbates the distortion of information. Based on the concrete analysis of the root causes, this paper proposes to strengthen the information sharing and cooperation among the supply chain node enterprises by establishing the data sharing platform and applying the joint inventory management strategy. The inventory management is transformed into the link and bridge between the enterprises, and the joint management strategy based on the production base is implemented. Through the establishment of GDMR data platform, the timely and effective transmission of information among the node enterprises is realized, and the integration of the effective demand information of the downstream distribution network node in the production base is enhanced. At the same time, in order to eliminate the distortion of rational and irrational demand information as much as possible, through the system based on the historical demand statistical function calculation, output demand statistics forecast, which provides data support for enterprises to jointly formulate inventory strategy. For the joint inventory management point laid a solid foundation. The joint inventory management is changed from simple cost reduction, based on a certain level of service and customer satisfaction balance mechanism, and the concrete verification from theory and technology to practical application is carried out, which proves that the strategy is effective and executable. It has certain reference significance to other production bases. Finally, according to the research results of this paper, the paper analyzes the missing parts, and puts forward some tentative ideas for the future research direction.
【學位授予單位】：上海交通大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F274;F416.4
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