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研究生: 林千鈺
Lin, Chien-Yu
論文名稱: 運動鞋製造之二階供應鏈預測模式之探討
A Study on a Two-tier Supply Chain Demand Forecasting Models from Sport Shoe Manufacturing
指導教授: 楊大和
Yang, Ta-Ho
學位類別: 碩士
Master
系所名稱: 工學院 - 工程管理碩士在職專班
Engineering Management Graduate Program(on-the-job class)
論文出版年: 2023
畢業學年度: 111
語文別: 中文
論文頁數: 48
中文關鍵詞: 需求預測帕列托法則資訊共享簡單移動平均法加權移動平均法
外文關鍵詞: Demand Forecasting, Pareto Principle, Information Sharing, Simple Moving Average, Weighted Moving Average
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  • 摘要 i Extended Abstract ii 誌謝 iv 目錄 v 表目錄 vii 圖目錄 viii 1. 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 2 1.3 研究流程 3 1.4 研究架構 4 2. 文獻探討 5 2.1 需求預測 5 2.2 帕列托法則 8 2.3 供應鏈資訊共享 9 3. 研究方法 11 3.1 資料蒐集 11 3.2 資料預處理 12 3.3 建構預測模型 14 3.4 評估預測準確度 17 4. 案例說明與實證分析 20 4.1 案例公司簡介及背景說明 20 4.2 需求預測現況說明 21 4.3 案例公司問題描述 23 4.4 實證分析 24 4.5 實驗結果小結 40 5. 結論與建議 44 5.1 研究結論 44 5.2 未來研究建議 45 參考文獻 47

    松林光男、渡部弘(2019),《圖解工廠構造與管理》(初版),世茂出版有限公司,新北市。
    林則孟(2006),《生產計畫與管理》(初版),華泰文化出版社,台北市。
    歐宗殷、蔡文隆(2022),《圖解生產與作業管理》(三版),五南圖書出版社,台北市。
    鄭榮郎(2018),《生產與作業管理》(五版),全華圖書股份有限公司,新北市。
    Al-Hafid, M. S., & Hussein Al-maamary, G. (2012). Short term electrical load forecasting using holt-winters method. Al-Rafidain Engineering Journal (AREJ), 20(6), 15-22.
    Ali, M. M., Babai, M. Z., Boylan, J. E., & Syntetos, A. A. (2015). On the use of Simple Moving Averages for supply chains where information is not shared. IFAC-PapersOnLine, 48(3), 1756-1761.
    Ali, M.M., J. E. Boylan. 2012. On the effect of non-optimal forecasting methods on supply chain downstream demand. IMA Journal of Management Mathematics, 23, 81-98.
    CSDN,2022,四種分析預測精度平均絕對偏差MAD、平均平方誤差MSE、平均預測誤差MFE、平均絕對百分誤差MAPE的优缺點比較,CSDN,2020年5月,https://blog.csdn.net/qq_43161793/article/details/106393083 2023.05.26 取得。
    Da Veiga, C. P., Da Veiga, C. R. P., Catapan, A., Tortato, U., & Da Silva, W. V. (2014). Demand forecasting in food retail: A comparison between the Holt-Winters and ARIMA models. WSEAS transactions on business and economics, 11(1), 608-614.
    Dai, Y., Dou, L., Song, H., Zhou, L., & Li, H. (2022). Two-way information sharing of uncertain demand forecasts in a dual-channel supply chain. Computers & Industrial Engineering, 169, 108162.
    Dantas, T. M., Oliveira, F. L. C., & Repolho, H. M. V. (2017). Air transportation demand forecast through Bagging Holt Winters methods. Journal of Air Transport Management, 59, 116-123.
    Grubb, H., & Mason, A. (2001). Long lead-time forecasting of UK air passengers by Holt–Winters methods with damped trend. International Journal of Forecasting, 17(1), 71-82.
    Han, J., Pei, J., & Tong, H. (2022). Data Mining: Concepts and Techniques, Burlington, USA.
    Huang, Y. S., Ho, J. W., & Kao, W. Y. (2022). Availability and reliability of information transmission for supply chain coordination with demand information sharing. Computers & Industrial Engineering, 172, 108642.
    Juran, J. M., & De Feo, J. A. (2010). Juran's Quality Handbook: The Complete Guide to Performance Excellence, New York, USA.
    Klimberg, R. K., Sillup, G. P., Boyle, K. J., & Tavva, V. (2010). Forecasting performance measures–what are their practical meaning?. Advances in Business and Management Forecasting (Vol. 7, pp. 137-147). Emerald Group Publishing Limited.
    Koch, R. (2011). The 80/20 Principle: The Secret of Achieving More with Less: Updated 20th Anniversary Edition of The Productivity and Business classic. Hachette UK.
    La Rooy, G. (1999). ``Know what counts'', NZ Business, Vol. 13, pp. 28-31.
    Laoyan, S.,2022,瞭解帕雷托法則 (Pareto Principle,即 80/20 法則),ASANA,2022年12月,https://asana.com/zh-tw/resources/pareto-principle-80-20-rule/ 2023.05.23 取得。
    Lewis, C. D. (1982). Industrial and Business Forecasting Methods: A Practical Guide to Exponential Smoothing and Curve Fitting. London, UK.
    Makridakis, S., A. Andersen, R. Carbone, R. Fildes, M. Hibon, R. Lewandowski, J. Newton, E. Parzen, R. Winkler. 1982. The accuracy of extrapolation (time series) methods: Results of a forecasting competition. Journal of Forecasting, 1, 111 – 153.
    Martinich, J. S. (2008). Production and Operations Management: An Applied Modern Approach, New Jersey, U.S.
    Pittman, P.H. & Atwater, J.B. (2022). Supply Chain Dictionary 17th edition, ASCM, Chicago, USA.
    Riyadi, N., Mulki, M. F., & Susanto, R. (2019). Analysis of customers purchase patterns of e-commerce transactions using apriori algorithm and sales forecasting analysis with weighted moving average (WMA) method. Scientific Research Journal, 7(7), 45-58.
    Sneaker News, 2020, The Nike PG 4 Brings Your Feet Directly To Air With The Air Strobel, Sneaker News, Available: https://sneakernews.com/2020/01/05/nike-pg-4-official-release-date-photos/ (2023/5/26 取得)
    Winters, P. R. (1960). Forecasting sales by exponentially weighted moving averages. Management Science, 6(3), 324-342.
    Zhu, K., & Thonemann, U. W. (2004). Modeling the benefits of sharing future demand information. Operations Research, 52(1), 136-147.

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