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研究生:郭旻謙
研究生(外文):Min-Chien Kuo
論文名稱:半導體設備供應商之快速流動零件存貨模式
論文名稱(外文):Two Simple Inventory Control Models for Fast-moving Spare Parts of Semiconductor Equipment Supplier
指導教授:陳啟斌陳啟斌引用關係周瑛琪周瑛琪引用關係
指導教授(外文):Chie-Bein ChenYing-Chyi Chou
學位類別:碩士
校院名稱:銘傳大學
系所名稱:管理科學研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:89
中文關鍵詞:存貨管理半導體設備服務水準
外文關鍵詞:Inventory controlSemiconductor equipmentService level
相關次數:
  • 被引用被引用:5
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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
1. 周瑛琪 (2001),「台灣半導體設備業零件存貨模式之研究」,國立交通大學經營管理研究所博士論文。
2. 林茂文 (1992),時間數列分析與預測,華泰書局。
3. Aardal, K., Jonsson, O. and Jonsson, H., “Optimal Inventory Policies with Service Level,” Journal of the Operational Research Society, Vol. 40, No. 1, 1989, pp. 65-73
4. Bagchi, U., Hayya J. C. and Ord, J. K., “Concepts, Theory and Techniques: the Hermit Distribution as a Model of Demand during Lead Time for Slow-moving Items,” Decision Sciences, Vol. 14, 1983, pp. 447-466.
5. Bagchi, U., “Modeling Lead-time Demand for Lumpy Demand and Variable Lead Time,” Naval Research Logistics, Vol. 34, 1987, pp. 687-704.
6. Ben-Daya, M. and Raouf, A. , “Inventory Models Involving Lead Time as Decision Variable,” Journal of the Operational Research Society, Vol.45, 1994, pp. 579-582.
7. Burgin, T. A., “The Gamma Distribution and Inventory Control,” Operational Research Quarterly, Vol. 26, No. 3, 1975, pp. 507-525.
8. Buzacott, J. A., “Dynamic Inventory Targets Revisited,” Journal of the Operational Research Society, Vol. 50, 1999, pp. 697-703.
9. Chase, R. B., Aquilano, N. J. and Jacobs, F. R., Operations Management for Comperitive Advantage, 9th, New York, McGraw-Hill, 2001.
10. Coben, M. A., Kleimdorfer, P. R. and Lee, H. L., “Service Constrained (s, S) Inventory Systems with Priority Demand Classed and Lost Sales,” Management Science, Vol. 14, No. 4, 1988, pp. 482-499.
11. Coben, M. A. and Lee, H. L., “Out of Touch with Customer Needs? Spare Parts and after Sales Service,” Sloan Management Review, Winter, 1990, pp. 55-66.
12. Croston, J. D., “Forecasting and Stock Control for Intermiteent Demands,” Operational Research Quarterly, Vol. 23, No. 3, 1972, pp. 289-303.
13. Dekker, R., Kleijn, M. J. and de Rooij, P. J., “A Spare Parts Stocking Policy Based on Equipment Criticality,” International Journal of Production Economics, Vol. 56-57, 1998, pp. 69-77.
14. Dhakar, T. S., Schmidt, C. P. and Miller, D. M., “Base Stock Level Determination for High Cost Low Demand Critical Repairable Spares,” Computers and Operations Research, Vol. 21, 1994, pp. 411-420.
15. Dilworth, J. B., Operations Management: Design, Planning, and Control for Manufacturing and Services, Hightstown, McGraw-Hill, 1992.
16. Dohi, T., Shibuya, T. and Osaki, S., “Models for 1-out of Q Systems with Stochastic Lead Times and Expedited Ordering Options for Spares Inventory,” European Journal of Operational Research, Vol. 103, 1997, pp. 255-272.
17. Ehrhardt, R., “The Power Approximation for Computing (s, S) Inventory Policies,” Management Sciences, Vol. 25, No. 8, 1979, pp. 777-786.
18. Ernst, R. and Powell, S. G., “Optimal Inventory Policies under Service-sensitive Demand,” European Journal of Operational Research, Vol. 87, 1995, pp. 316-327.
19. Evans, R. V., “Sales and Restocking Policies in a Single Item Inventory System,” Management Sciences, Vol. 14, 1968, pp. 463-472.
20. Foote, B. L., “On the Implementation of a Control-Based Forecasting System for Aircraft Spare Parts Procurement,” IIE Transactions, Vol. 27, 1995, pp. 210-216.
21. Fortuin, L., “Five Popular Probability Density Functions: a Comparison in the Field of Stock-control Models,” Journal of the Operational Research Society, Vol. 31, No.10, 1980, pp. 937-942.
22. Gajpal, P. P., Ganesh, L. S. and Rajendran, C., “Criticality Analysis of Spare Parts Using the Analytic Hierarchy Process,” International Journal of Production Economics, Vol. 35, 1994, pp. 293-297.
23. Hill, R. M., “Order Splitting in Continuous Review (Q, r) Inventory Models,” European Journal of Operational Research, Vol. 95, 1996, pp. 53-61.
24. Jun, D. B., “On Detecting and Estimating a Major Level or Slope Change in General Exponential Smoothing,” Journal of Forecasting, Vol. 8, 1989, pp. 55-64.
25. Kabir, A. B. Zohrul, M. and Farrash, S. H. A., “Simulation of an Integrated Age Pacement and Spare Provisioning Policy using SLAM,” Reliability Engineering and System Safety, Vol. 52, 1996, pp. 129-138.
26. Kalpakam, S. and Hameed, M. A. Shahul, “Optimum Ordering Policies with Random Lead Times,” Microelectron Reliability, Vol. 21, No. 5, 1981, pp. 737-741.
27. Kaplan, A. (1969). “Stock Rationing,” Management Sciences, Vol. 15, 1969, pp. 260-267.
28. Kang, H., “Unstable Weights in the Combination of Forecasts,” Management Science, Vol. 32, No. 6, 1986, pp. 683-695.
29. Lawrence, M. J., Edmandson, R. H. and O’Connor, M. J., “The Accuracy of Combining Judgement and Statistical Forecasts,” Management Science, Vol. 32, No. 12, 1986, pp. 1521-1532.
30. Liao, C. J. and Shyu, C. H., “An Analytical Determination of Lead Time with Normal Demand,” International Journal of Operations and Production Management, Vol. 11, 1991, pp. 72-78.
31. Lidke, S. L. and Malstrom, E. M., “A Recursive Computer Algorithm for Determining Joint Probability Inventory Distributions,” Computers and Industrial Engineering, Vol. 12, No. 2, 1987, pp. 105-116.
32. Martinich, J. S., Production and Operations Management, 1sted, New York, Wiley, 1997.
33. Moon, I. and Choi, S., “The Distribution Free Continuous Review Inventory System with a Service Level Constraint,” Computers and Industrial Engineering, Vol. 27, No. 1-4, 1994, pp. 209-212.
34. Moon, I. and Choi, S., “A Note in Lead Time and Distributional Assumptions in Continuous Review Inventory Models,” Computers and Operations Research, Vol. 25, 1998, pp. 1007-1012.
35. Mumford, R. J., “The Numerical Generation of Lead Time Distributions for Inventory Models,” Operational Research Quarterly, Vol. 28, No. 1, 1977, pp. 79-85.
36. Ouyang, L. Y., Yeh, N. C. and Wu, K. S., “Mixture Inventory Model with Backorders and Lost Sales for Variable Lead Time,” Journal of the Operational Research Society, Vol. 47, 1996, pp. 829-832.
37. Ouyang, L. Y. and Wu, K. S., “Mixture Inventory Model Involving Variable Lead Time With a Service Level Constraint” Computers Ops Rev., Vol. 24, No. 9, 1991, pp. 875-882
38. Rabinowitz, G., Mehrez, A., Chu, C. W. and Patuwo, B. E., “A Partial Backorder Control for Continuous Review (r, Q) Inventory System with Poisson Demand and Constant Lead Time,” Computers and Operations Research, Vol. 22, No. 7, 1995, pp. 689-700.
39. Sandvig, J. C. and Allaire, J. J., “Vitalizing a Service Parts Inventory,” Journal of Production and Inventory Management, Vol. 39, No. 1, 1998, pp. 67-71.
40. Schultz, C. R., “On the Optimality of the (s-1, s) Policy,” Naval Research Logistics, VoL. 37, 1990, pp. 715-723.
41. Silver, E. A. Ryke, D. F. and Peterson, R., Decision Systems for Inventory Management and Production Planning, 3thed, New York, Wiley, 1998.
42. Topkis, D. M., “Optimal Ordering and Rationing Policies in a Non-stationary Dynamic Inventory Model with n Demand Classes,” Management Sciences, Vol. 15, 1968, pp. 160-176.
43. Veinott, Arthur F. Jr., “Optimal Policy in a Dynamic, Single Product, Non-stationary Inventory Model with Several Demand Classes,” Operations Research, Vol. 13, 1965, pp. 761-778.
44. Vereecke, A. and Verstrateen, P., “An Inventory Management Model for an Inventory Consisting of Lumpy Items, Slow Movers and Fast Movers,” International Journal of Production Economics, Vol. 35, 1994, pp. 379-389.
45. Willemain, T. R., Smart, C. N. and Shockor, J. H., “Forecasting Intermittent Demand in Manufacturing: A Comparative Evaluation of Croston’s Method,” International Journal of Forecasting, Vol. 10, 1994, pp. 529-538.
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