未來研究方向

基於 5.3 節所描述的研究限制，本節針對本研究的模型假設及其他能更深入探討與延伸 之相關議題，進行未來研究方向的討論：

1. 應用貝氏管制圖於連續盤存制存貨系統，即時更新再訂購點，並可考慮引進西方電 器法則作為異常值偵測的標準，提高系統對於需求微小波動的敏感度。

2. 考慮前置時間存在且服從某種分配之情況，並探討此情況之下，前置時間波動與需 求波動同時對於存貨系統的影響。

3. 本研究所提之模型只監控需求變化，並且根據此變化決定存貨下訂水準與訂購量，

未來可以應用貝氏管制圖之概念於監控存貨水準變化，並在同時考慮需求與存貨水 準變化下，決定存貨下訂水準與訂購量。

4. 根據不同產品特性或存在銷售損失的狀況之下，設定不同的成本參數，並且調整貝 氏管制圖的管制上下限大小或追蹤訊號大小等參數，進而增加或降低需求異常偵測 的敏感度。可進行重要參數的敏感度分析，找到系統更明確的適用情境。

5. Cheng & Chou (2008) 考慮在產品生命週期(product life cycle)的不同階段(上市期、成 長期、成熟期與衰退期)，需求量會有不同的變化方式；簡秀芸 (2009)則加入需求的 上下波動與季節性變化，故未來可以考慮應用貝氏管制圖監控更多不一樣的需求變 化，與過去文獻所提之模型進行比較，衡量其績效表現。

參考文獻

中文文獻：

詹易整 (2000)，應用統計製程管制方法於存貨管理系統之研究，國立成功大學工業管理研 究所碩士論文。

葉卓華 (2003)，應用管制圖於存貨管理之研究，國立雲林科技大學工業工程與管理研究所 碩士論文。

王皓翔 (2004)，應用 MCEWMA 管制圖於存貨管理之研究，國立雲林科技大學工業工程與 管理研究所碩士論文。

簡秀雲 (2009)，應用趨勢管制圖於存貨管理之研究，國立雲林科技大學工業工程與管理研 究所碩士論文。

霍正傑 (2010)，應用累積和管制圖於存貨管理之研究，國立雲林科技大學工業工程與管理 研究所碩士論文。

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