物流需求預測在M公司的應用研究
發(fā)布時間:2018-05-09 13:12
本文選題:物流 + 需求 ; 參考:《蘇州大學》2014年碩士論文
【摘要】:隨著顧客需求的多樣化、企業(yè)競爭的激烈、全球制造概念的發(fā)展,精益生產(chǎn)在制造企業(yè)各個領域不斷的推行,精益思想在制造企業(yè)已經(jīng)深入人心。物流作為整個制造過程中重要的一環(huán),同時物流已經(jīng)成為世界公認的“第三利潤源泉”。各企業(yè)都在希望通過精細化,量化管理來提高企業(yè)物流管理的水平,降低企業(yè)在物流流通中的成本。各企業(yè)一直在尋求解決基于承載物品的載體的物流需求量預測的不平衡和不確定性的問題的方案。因此,本文通過對物流需求預測的研究,同時通過在M公司的應用,建立了物流需求預測模型,驗證物流需求預測模型并對模型進行了進一步的優(yōu)化。 本文以物流需求預測的理論和研究現(xiàn)狀為基礎,研究物流需求預測及結合實際在企業(yè)中的應用。首先,在閱讀和分析了國內外物流需求預測的相關研究及相關背景的基礎上明確了本文的研究問題、目的和意義;其次,介紹物流需求預測理論,物流需求預測方法及局限性,綜述國內外的研究現(xiàn)狀;最后,通過在M公司物流需求中實際應用,驗證了基于承載物品的載體的物流需求預測模型,,并分析預測誤差,從而進行了進一步的模型優(yōu)化。 通過分析及實證應用研究,本文認為物流需求預測可以為企業(yè)加強內部物流管理精細化提供一個有效的預測工具,相對準確的預測出物流需求,很好的解決了企業(yè)內部物流需求量的不平衡和不確定性問題,從而為企業(yè)需要對承載物品的載體需求量做預測時提供了一個簡單可行的方法。
[Abstract]:With the diversification of customer demand, the fierce competition of enterprises, the development of global manufacturing concept, lean production in all fields of manufacturing enterprises continue to promote, lean thinking in manufacturing enterprises have been deeply rooted. Logistics, as an important part of the whole manufacturing process, has become the "third profit source" in the world. All enterprises hope to improve the level of logistics management and reduce the cost of logistics circulation. Enterprises have been looking for solutions to the problem of imbalance and uncertainty in logistics demand prediction based on carrier of carrying goods. Therefore, through the research of logistics demand forecasting and the application in M company, this paper establishes logistics demand forecasting model, validates logistics demand forecasting model and further optimizes the model. Based on the theory and research status of logistics demand forecasting, this paper studies logistics demand forecasting and its application in enterprises. First of all, on the basis of reading and analyzing the related research and related background of logistics demand prediction at home and abroad, the paper clarifies the research problem, purpose and significance of this paper; secondly, it introduces logistics demand forecasting theory, logistics demand forecasting method and its limitations. This paper summarizes the current research situation at home and abroad, and finally, through the practical application in the logistics demand of M Company, verifies the logistics demand forecasting model based on the carrier of carrying goods, and analyzes the prediction error, so as to optimize the model further. Through the analysis and empirical application research, this paper holds that logistics demand prediction can provide an effective forecasting tool for enterprises to strengthen the internal logistics management, relatively accurate prediction of logistics demand. It solves the problem of imbalance and uncertainty of logistics demand, and provides a simple and feasible method for enterprise to forecast the carrier demand of carrying goods.
【學位授予單位】:蘇州大學
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:F416.4;F253
【參考文獻】
相關期刊論文 前10條
1 李_",彭雄偉;從神龍供應物流看實現(xiàn)JIT配送的幾種模式[J];中國儲運;2004年05期
2 沈萍;淺析中小企業(yè)對逆向物流的處理[J];經(jīng)濟師;2005年02期
3 湯中明,傅新平;用MATLAB實現(xiàn)對周期趨向性物流需求的快速預測[J];武漢理工大學學報(交通科學與工程版);2003年05期
4 陳莉;物流管理中的需求預測[J];交通科技與經(jīng)濟;2003年01期
5 趙立軍;;帶有逆向物流的城市連鎖店運輸線路優(yōu)化[J];交通科技與經(jīng)濟;2010年01期
6 李大為;俞晶菁;呂高騰;袁愷瞳;馬健;馬玉千;;鐵路集裝箱短期運量預測方法分析[J];交通科技與經(jīng)濟;2012年05期
7 趙霞;;港口發(fā)展現(xiàn)代物流運作模式探討[J];企業(yè)經(jīng)濟;2007年07期
8 張誠;劉美玲;于兆宇;;基于粗糙集和多元回歸分析的江西鐵路物流需求預測[J];企業(yè)經(jīng)濟;2012年01期
9 郝皓;直面逆向物流[J];電子商務世界;2003年01期
10 劉長秀,張悟移,林強;云南省物流需求預測[J];鐵道運輸與經(jīng)濟;2005年11期
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