臺灣博碩士論文加值系統

半導體設備零件因成本高、使用率差異性大、上游採購前置時間不穩定與下游需求率不確定等因素，使得零件的存貨管理問題一直困擾著業者。本研究針對使用次數多、價格昂貴的零件提出二個簡單的快速流動零件存貨模型，各為以過去年平均需求量及預測需求量為基礎來建構此二模型。一個是以服務水準為限制條件，最低總成本為目標，利用程式運算，求最適訂購量及再訂購點；另一個則將模型結合需求預測，亦同樣以程式模擬運算，針對不同時間點求出最適訂購量及再訂購點。文研究係以零件供應商的觀點來建構此二半導體設備快速流動零件存貨模型。並依所屬機台的重要性，將相同零件分為關鍵性零件與非關鍵性零件，採用特殊 存貨政策，且再訂購點以下的存貨量，只供給屬關鍵性零件的需求。

Spare parts of semiconductor equipment are high cost, high difference of usage, unstable lead time and supplying and demand uncertainty etc. leading to various barriers of inventory control. This research aims to propose two simple fast-moving spare parts inventory control models for high frequent usage and expensive spare parts. These two simple models are constructed based on the previous annual averaging and forecasting demand. One is constrained to service level and minimized to the objectiveness of total cost, and it is calculated by a computer program in order to obtain the optimal order quantity and re-order point. The other bring the demand forecasting into the inventory model, and it is, similarly, calculated by the computer program in order to obtain the optimal order quantity and re-order point at different time period. These two models are established on the supplier perspective. According to the importance of the semiconductor equipment, common spare parts can be divided into critical and non-critical spare parts. A specific (Q, r) inventory policy is adopted but only supply critical spare parts below the re-order point.

摘 要 i
Abstract ii
誌 謝 iii
目 錄 iv
圖目錄 vii
表目錄 viii
第一章 緒 論 1
1.1 研究背景 1
1.2 研究動機 2
1.3 研究問題 4
1.4 研究目的 4
1.5 研究架構 5
1.6 研究綱要 7
第二章 文獻探討 8
2.1 機率分佈 8
2.2 存貨政策之目標 9
2.3 依需求特性建構之存貨模型 11
2.4 需求預測之存貨模式 13
第三章 快速流動存貨模型 16
3.1 前言 16
3.2 模型建構 17
3.3 成本函數的求解與性質 21
3.4 融入需求預測的存貨模型 25
第四章 資料分析與結果 32
4.1 個案描述 32
4.2 實例分析 35
4.3 需求預測存貨模型數值分析 50
第五章 結論與建議 56
5.1 結論 56
5.2 建議 57
參考文獻 58
附 錄 64
附錄A 、 與 詳細計算過程 65
附錄B Hessian行列式證明 68
附錄C Delphi 程式 70
附錄D SAS程式 87

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