【摘要】：本文是對(duì)以生產(chǎn)基地為核心多級(jí)庫(kù)存管理方法的研究。 首先，對(duì)M公司亞太區(qū)醫(yī)療生產(chǎn)基地的客戶進(jìn)行分析，確定研究對(duì)象是一個(gè)包含制造商、分銷商、零售商及終端客戶的三級(jí)供應(yīng)鏈庫(kù)存模型。結(jié)合醫(yī)療生產(chǎn)基地所供應(yīng)產(chǎn)品的特點(diǎn)及生產(chǎn)組織形式，闡述了當(dāng)前采用了以需求預(yù)測(cè)為原動(dòng)力的“推”式的供應(yīng)鏈模式。通過(guò)對(duì)需求預(yù)測(cè)準(zhǔn)確率的分析確定了需求信息扭曲導(dǎo)致了當(dāng)前低庫(kù)存周轉(zhuǎn)率和高呆滯庫(kù)存率。 然后，繪制當(dāng)前供應(yīng)鏈庫(kù)存結(jié)構(gòu)及倉(cāng)庫(kù)點(diǎn)的模型，鎖定了分散式的庫(kù)存管理策略是導(dǎo)致需求信息扭曲的根本原因，同時(shí)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(biāo)準(zhǔn)流程又加劇了信息的扭曲程度。本文基于對(duì)根本原因的具體分析,提出了通過(guò)建立數(shù)據(jù)共享平臺(tái),應(yīng)用聯(lián)合庫(kù)存管理策略，加強(qiáng)供應(yīng)鏈節(jié)點(diǎn)企業(yè)間的信息共享和協(xié)作，把庫(kù)存管理轉(zhuǎn)化為連接企業(yè)間的紐帶和橋梁，實(shí)施以生產(chǎn)基地為核心的聯(lián)合管理策略。通過(guò)建立GDMR數(shù)據(jù)平臺(tái)，實(shí)現(xiàn)了信息在各節(jié)點(diǎn)企業(yè)間的及時(shí)、有效的傳遞，增強(qiáng)生產(chǎn)基地對(duì)下游分銷網(wǎng)絡(luò)節(jié)點(diǎn)有效需求信息的整合。同時(shí)為了盡可能的消除理性及非理性的需求信息的扭曲，通過(guò)系統(tǒng)基于歷史需求的統(tǒng)計(jì)函數(shù)計(jì)算，輸出需求統(tǒng)計(jì)預(yù)測(cè)，為企業(yè)間共同制定庫(kù)存策略提供了數(shù)據(jù)支持，為聯(lián)合庫(kù)存管理點(diǎn)奠定了牢固的基礎(chǔ)。把聯(lián)合庫(kù)存管理從單純的減低成本，轉(zhuǎn)化基于一定服務(wù)水平和客戶滿意度平衡機(jī)制，，并進(jìn)行了從理論技術(shù)轉(zhuǎn)化為實(shí)際應(yīng)用的具體驗(yàn)證，證明了該策略的有效性及可執(zhí)行性，對(duì)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(duì)未來(lái)具體的研究方向提出了設(shè)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(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F274;F416.4

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孫士雅,羅兵,于會(huì)強(qiáng);部分短缺量拖后的非瞬時(shí)補(bǔ)貨的EOQ模型[J];重慶大學(xué)學(xué)報(bào)(自然科學(xué)版);2002年01期

2 羅兵,于會(huì)強(qiáng);存貨影響銷售率且銷售價(jià)格可變的EOQ模型[J];重慶大學(xué)學(xué)報(bào)(自然科學(xué)版);2002年11期

3 黃衛(wèi)來(lái),張子剛,劉運(yùn)哲;產(chǎn)量柔性下的最優(yōu)生產(chǎn)批量和原材料訂購(gòu)決策模型[J];系統(tǒng)工程;1998年01期

4 戴更新,達(dá)慶利;多階段EOQ的合并訂購(gòu)策略[J];管理工程學(xué)報(bào);2000年03期

5 邵曉峰,黃培清,季建華;供應(yīng)鏈中供需雙方合作批量模型的研究[J];管理工程學(xué)報(bào);2001年02期

6 萬(wàn)筱寧,孫新宇,孫林巖;供應(yīng)鏈中的信息共享與合作[J];工業(yè)工程與管理;2003年01期

7 羅兵,于會(huì)強(qiáng),林略,孫士涵;供應(yīng)鏈環(huán)境下的供應(yīng)商管理庫(kù)存模型研究[J];工業(yè)工程與管理;2004年04期

8 徐賢浩,馬士華,陳榮秋;供應(yīng)鏈關(guān)鍵績(jī)效評(píng)價(jià)指標(biāo)及優(yōu)化[J];華中理工大學(xué)學(xué)報(bào);2000年03期

9 王炬香,王安麟,胡宗武;供應(yīng)鏈管理中的戰(zhàn)略庫(kù)存[J];制造業(yè)自動(dòng)化;2001年03期

10 張光明,梁文潮,李曦;一種欠交訂貨經(jīng)濟(jì)訂購(gòu)批量(EOQ)模型研究[J];武漢水利電力大學(xué)學(xué)報(bào);1999年02期

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