本文選題：零售業(yè)庫存 + 協(xié)同補(bǔ)貨�。� 參考：《廈門大學(xué)》2014年碩士論文

【摘要】：市場(chǎng)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(dǎo)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(diǎn)企業(yè)間的協(xié)同運(yùn)作。隨著競(jìng)爭(zhēng)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(shí)施CPFR是必然趨勢(shì)。 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(duì)象,對(duì)企業(yè)實(shí)施CPFR過程中的補(bǔ)貨策略進(jìn)行研究。首先,從補(bǔ)貨商品情況、補(bǔ)貨系統(tǒng)、補(bǔ)貨流程等方面分析了A公司補(bǔ)貨管理現(xiàn)狀,研究其中存在的問題和原因。然后,立足于時(shí)間序列分析法和多元回歸分析法進(jìn)行需求預(yù)測(cè),通過對(duì)比多種方法的預(yù)測(cè)結(jié)果,確定將時(shí)間序列和因果關(guān)系相結(jié)合,作為A公司的協(xié)同預(yù)測(cè)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(bǔ)貨模型,并引入實(shí)例,分析補(bǔ)貨策略的確定,對(duì)模型進(jìn)行了檢驗(yàn)。之后,又通過對(duì)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(duì)協(xié)同補(bǔ)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(shí)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(shí)施協(xié)同補(bǔ)貨的建議。 研究結(jié)果表明,協(xié)同預(yù)測(cè)能夠提高需求預(yù)測(cè)精度,協(xié)同補(bǔ)貨模式能夠節(jié)省供應(yīng)鏈的庫存管理成本,加強(qiáng)整個(gè)供應(yīng)鏈的競(jìng)爭(zhēng)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?yàn)榱闶燮髽I(yè)實(shí)施CPFR協(xié)同補(bǔ)貨以及解決相關(guān)的庫存管理問題提供參考價(jià)值和實(shí)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(xué)位授予單位】：廈門大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F253;F721

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