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研究生:吳承儒
研究生(外文):Wu,Cheng-ju
論文名稱:物料庫存管理之研究-以洗衣機為個案之探討
論文名稱(外文):Research of stock control of the supplies-regard washing machine as the discussion of the case
指導教授:梁榮輝梁榮輝引用關係
指導教授(外文):Liang,Jung-Hui
學位類別:碩士
校院名稱:佛光大學
系所名稱:經濟學系
學門:社會及行為科學學門
學類:經濟學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:74
中文關鍵詞:存貨管理顯著性洗衣機
外文關鍵詞:ANOVA
相關次數:
  • 被引用被引用:1
  • 點閱點閱:174
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隨著高科技產業的蓬勃發展,家電製造業已經被歸納到夕陽工業,但是其畢竟還是擁有固定的客源及銷售量。以傳統的洗衣機需求為例,其為家家戶戶不可或缺的民生必需品。本研究主要以台灣某廠商生產之洗衣機的每月存貨積壓金額為研究對象,利用變異數分析(analysis of variance,簡稱ANOVA)來分析資料,來找出該公司每月存貨積壓金額的相關性,藉此來調整材料訂購的時點。

本研究內容共分為五章,第一章緒論,說明本文研究動機與目的、研究架構與流程。第二章相關理論與文獻探討,包括家電市場的探討、洗衣機材料的在庫分析探討,最後彙整國內外存貨管理及變異數分析的相關文獻研究。第三章研究方法,說明變異數的定義,分類技巧以及變異數分析的理論概述。第四章實證結果與分析,說明本研究之研究樣本、研究期間、資料來源,彙總實證結果,並對此提出解釋。最後是第五章為結論與建議,對本研究的結果加以歸納與說明。

運用的統計軟體是應用在統計實務運作的後端核心工具SPSS(Statistical Package for Social Science),利用「單因子變異數分析」「One-Way ANOVA(Analysis of Variance)」來分析各種類的存貨金額之間的相關性,尋找出每一類別中其月與年之間的差異性,當顯著性(P-value)如在0.05以下,即表示有顯著水準,亦即兩個不同的月或年的在庫金額有顯著的不同。

經過實證後所得到的結果,我們做以下之結論:該公司在推行『零在庫管理』後,在各類存貨金額上皆有下降,尤其是在原物料(塑膠原料、鋼鐵原料)的部份,已經達到了該公司所訂定之『零在庫管理』的目標;建議該公司利用此研究之統計方式找出最高的存貨金額時點,降低該月份的採購數量,分散至較後面得幾個月份,如此一來就可以讓存貨的金額下降了,也不會造成顯著性的差異發生,同時也可以降低每月的存貨成本。
With the flourishing development of the Hi-Tech industry, the electrical home appliances have already been summed up to sunset industry in manufacturing industry, but its has regular travellers and sales volume after all . Take traditional washing machine demand as an example, it, for indispensable people's livelihood necessities of every household. The stock of every month of the washing machine produced with some Taiwanese manufacturer mainly in this research accumulates the volume of deposits as the research object, utilize and make a variation and count and analyse (analysis of variance , is abbreviated as ANOVA ) that analyse the materials , to find out this dependence of accumulating the volume of deposits of the stock of every month of company, come to adjust clicking when material order by this.

This research contents are divided into five chapters altogether, chapter one introduction, state the research motive of this text and purpose , research structure and procedure. Chapter two relevant theory and document discussion, including the discussion of the electrical home appliances market, the analysing the discussion in the storehouse of washing machine material, gather together whole domestic and international inventory management finally and make a variation to count relevant documents analysed to study. Chapter three research approach, state and make a variation the definition counted , categorised skill and making a variation to count the theory summary analysed. Chapter four real example result analyse , prove research sample , when the research , materials source of research this, gather the real example result, and propose explaining this. It is that chapter five is conclusion and suggestion finally, sum up and prove the result of this research.

The statistics software used is applied to and counted in the back of practice operation key tool SPSS (Statistical Package for Social Science ), it utilize ' make a variation not counting not analysing factor not single "One-Way ANOVA (Analysis of Variance) ' come not for stock dependence of amount of money of every kinding, is it happen every classification month and difference during being annual to look for , look on it as the dominance (P-value ) if under 0.05, namely show that there is competence of showing, namely there is apparent difference in the amount of money of the storehouse in two different moons or annual ones.

Through the results received after real example, we make the following conclusions: This company is pursueing after" zero is being in the management of the storehouse ", all drop on all kinds of amount of money of stock , especially the part of the original supplies (plastic raw materials , steel raw materials ), has already reached the goal that " zero is being managed in the storehouse " that this company has stipulated; Propose that this company utilizes the this research statistics way to click while finding out the supreme amount of money of stock , reduce the quantity of purchase of this month, disperse it to relatively takes several months, can thus let the amount of money of the stock be dropped , will not lead to the fact that the difference of the dominance takes place either, at the same time , can reduce the monthly stock cost too.
第一章 緒論
第一節 研究動機
第二節 研究目的
第三節 研究架構與流程
第二章 文獻探討
第一節 產業現況
第二節 存貨的意義
第三節 控制存貨的方法
第四節 安全存量
第五節 存貨預測
第三章 研究方法
第一節 單因子變異數分析
第二節 顯著性檢定
第三節 多重比較的方法
第四章 實證結果分析
第一節 樣本與資料說明
第二節 統計軟體-ANOVA
第三節 各類別年存貨金額之實證結果分析
第四節 各類別月存貨金額之實證結果分析
第五章 結論與建議
第一節 結論
第二節 建議
參考文獻
附錄
1.王俊明,〈不同變異數分析考驗的優缺點比較〉,《國立體育學院論叢》,4卷2期(1995年),頁1530。
2.林月金、戴登燦,〈中區水稻施肥量與施肥方法之調查研究Ⅱ.水稻期作、類型及地域間施肥量的統計檢定〉,《台中區農業改良場研究彙報第三十六期》,(1992年9月),頁1-6。
3.林清河,《物料管理》(華泰書局,1995年)。
4.吳宗正,《變異數分析》(華泰書局,1992年)。
5.郭明哲,〈預測方法—理論與實例〉(中興管理顧問公司,1976年5月)。
6.張有恒,《物流管理》(華泰書局,1998年9月)。
7.鄒立圓,〈全球白色家電市場規模〉(工研院產業經濟與資訊服務中心,2004年12月)。
8.賴士葆,《生產作業管理—理論與實務》(華泰書局,1991年)。
9.顏憶茹、張淳智,《物流管理》(前程文化事業出版社,1998年2月)。
10.Aucamp, D. C., “Evaluation of Safety Stock”, Production & Inventory Management, Vol.27, 1986, p.126-132.
11.Baker, K. R., Magazine, M. J. and Nuttle, H.L.W., “The Effect of Commonality on Safety Stocks in a Simple Inventory Model,” Management Science, Vol.328, 1988, P.982-988.
12.Benton, W. C., “Safety Stock and Service Levels in periodic Review Inventory Systems,” Journal of Operational Research Society, Vol.47, 1996, P.562-569.
13.Georgoff, D. M. and Murdick, R. G., “Manager’s guide to forecasting” Harvard Business Review, 64 (Jan-Feb.) , 1986, P.110-120.
14.Keselman, H.J., Rogan, J.C., Mendoza, J.L., & Breen, L.J. “Testing the validity conditions of repeated measures F tests” Psychological Bulletin, 87, 1980, P479-481,.
15.Maxwell, S. E., Delaney,H.D. Designing experiments and analyzing data., Wadsworth, 1990.
16.Montgomery, D. C., Design and analysis of experiments, John Wiley & Sons. 1984.
17.Stevenson, W. J., Production/Operations Management, McGraw-Hill Companies, Inc., 1999.
18.Stevenson, W. J., Operations Management, 8th edition, McGraw-Hill Companies, Inc., 2005.
19.Wilcox, R. R., New designs in analysis of variance, Annual Review of Psychology, 38,1987, P29-60.
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