本文選題：零售業(yè)庫存 + 協(xié)同補貨　； 參考：《廈門大學》2014年碩士論文

【摘要】：市場需求的不確定性以及零售商和供應(yīng)商之間膚淺的合作關(guān)系,導致零售企業(yè)出現(xiàn)了高庫存和缺貨情況并存的問題。單靠零售企業(yè)的能力,難以解決涉及整條供應(yīng)鏈的庫存難題。于是,隨著供應(yīng)鏈協(xié)同理論的發(fā)展,CPFR逐漸興起。與傳統(tǒng)的庫存管理相比,CPFR更加注重供應(yīng)鏈節(jié)點企業(yè)間的協(xié)同運作。隨著競爭的加劇,加上可口可樂、寶潔等大型供應(yīng)商的要求,國內(nèi)零售企業(yè)實施CPFR是必然趨勢。 本文以此為背景,在綜述相關(guān)理論的基礎(chǔ)上,將國內(nèi)一家大型連鎖超市作為研究對象,對企業(yè)實施CPFR過程中的補貨策略進行研究。首先,從補貨商品情況、補貨系統(tǒng)、補貨流程等方面分析了A公司補貨管理現(xiàn)狀,研究其中存在的問題和原因。然后,立足于時間序列分析法和多元回歸分析法進行需求預測,通過對比多種方法的預測結(jié)果,確定將時間序列和因果關(guān)系相結(jié)合,作為A公司的協(xié)同預測方法。在此基礎(chǔ)上,借助線性規(guī)劃方法,構(gòu)建了A公司基于CPFR的補貨模型,并引入實例,分析補貨策略的確定,對模型進行了檢驗。之后,又通過對相關(guān)參數(shù)的靈敏度分析,研究了需求量與產(chǎn)品滿足率對協(xié)同補貨模式下供應(yīng)鏈庫存成本與訂貨量的影響。最后,根據(jù)CPFR的實施流程,以及A公司庫存管理存在的具體問題,給出A公司實施協(xié)同補貨的建議。 研究結(jié)果表明,協(xié)同預測能夠提高需求預測精度,協(xié)同補貨模式能夠節(jié)省供應(yīng)鏈的庫存管理成本,加強整個供應(yīng)鏈的競爭力和協(xié)調(diào)性,提高客戶的滿意度。本文的研究成果在一定程度上能夠為零售企業(yè)實施CPFR協(xié)同補貨以及解決相關(guān)的庫存管理問題提供參考價值和實用意義。
[Abstract]:The uncertainty of market demand and the superficial cooperative relationship between retailers and suppliers lead to the problem of high inventory and shortage in retail enterprises. It is difficult to solve the stock problem involving the whole supply chain by the ability of retail enterprises alone. So, with the development of supply chain coordination theory, CPFR is rising gradually. Compared with inventory management, CPFR pays more attention to the cooperative operation between enterprises of supply chain nodes. With the intensification of competition and the requirements of large suppliers such as Coca-Cola, P & G, and other large suppliers, it is an inevitable trend for domestic retail enterprises to implement CPFR.
Based on the background of this paper, on the basis of the related theories, a large chain supermarket in China is taken as the research object to study the replenishment strategy in the process of implementing CPFR. First, the status of replenishment management in A company is analyzed from the aspects of replenishment goods, replenishment system and replenishment flow, and the problems and reasons are studied. Then, based on the time series analysis and multiple regression analysis method to predict the demand, by comparing the prediction results of various methods, the combination of time series and causality is determined as the cooperative prediction method of A company. On this basis, the A company's replenishment model based on CPFR is constructed with the help of linear programming, and an example is introduced. After analyzing the replenishment strategy and testing the model, the influence of the demand and product satisfaction on the supply chain inventory cost and the order quantity under the cooperative replenishment model is studied by the sensitivity analysis of the related parameters. Finally, according to the implementation process of CPFR and the specific problems existing in the inventory management of A company, the A public is given. The company implements the proposal of coordinating replenishment.
The research results show that collaborative forecasting can improve the precision of demand forecasting. Cooperative replenishment model can save the cost of inventory management in supply chain, strengthen the competitiveness and coordination of the whole supply chain, and improve customer satisfaction. The research results of this paper can implement CPFR co replenishment for the zero sale enterprises and solve the related problems to some extent. Inventory management provides reference value and practical significance.

【學位授予單位】：廈門大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F253;F721

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本文編號：1819629