在半導體設備產業中，最關鍵的是能夠在客戶提出維修需求時能維持一定服務水準內，使其得以修復停機的機器而降低失去產能的損失。為防止停機損失的狀況，通常其解決辦法是備存備件以直接替換的方式修復，但如果備存所有可能會損壞的備件，其成本將十分高昂，甚至相當於整台設備。因此，備存零備件便成為設備商的一個主要問題，即決定多少數量應在每個區域來支援客戶達到其所需之時間內的服務水準並仍能降低庫存成本。
零備件物流問題的徵結在於低隨機需求、高備件成本、目標時間內服務水準和各區域倉庫存貨共用或從水平緊急轉運來有效地利用存貨。而本研究主旨即從目前已公開的文獻中尋找適當的模型為個案公司解決其存在已久的全球零備件庫存水準的問題。經過模型推導，本研究結果在個案公司中不僅維持客戶所要求的服務水準及大大減低各區域倉庫零備件安全庫存量外，同時也建構出各區域倉庫間相互協同之物流網絡及精省各區域倉庫之庫存成本。

In semiconductor equipment industry, it is important to have machine down repaired within customer required time-based service level to lower any cost because of machine down case. For preventing from the lost, the general solution of equipment provider usually would be to have backup spares for replacement in time, but it costs high if they backup all spares. Therefore, it becomes a major issue to decide how many quantities should stock in each region to support customer required time-based service level in considerable cost reduction.
Features of service parts logistics problem are very low random demand, high part cost, target time-based service levels, and inventory sharing or ELTs to utilize inventory across multiple stocking locations. In this study, we are looking for a suitable model for the case company in current published literature globally, and implement it in the case company to solve their inventory problem. The result shows that not only higher time-based service level in the case company and lower inventory level (means lower cost) but also build up a collaborated network between regional warehouse and save inventory holding cost for each regional warehouse.

摘要 1
Abstract 2
目次 3
第一章 緒論 6
第二章 文獻探討 9
第三章 研究方法 13
3.1 方法敘述 13
3.2 整體需求的運算 15
3.3 ELTs及區域需求的運算( 和 ) 16
3.4 需求時間內服務水準的運算 18
3.5 總成本函數 20
第四章 案例公司的實施與結果 23
4.1 實施的步驟 23
4.2 實施的結果 24
4.3 結果探討 24
第五章 結論與未來研究方向建議 26
參考文獻 27

René Botter, & Leonard Fortuin. (2000). Stocking strategy for service parts – a case study. International Journal of Operations & Production Management, 20(6), 656 - 674.
Kathryn E. Caggiano, Peter L. Jackson, John A. Muckstadt, & James A. Rappold. (2009). Efficient computation of time-based customer service levels in a multi-item, multi-echelon supply chain: A practical approach for inventory optimization. European Journal of Operational Research, 199(3), 744-749.
Rommert Dekker, Çerağ Pinçe, Rob Zuidwijk, & Muhammad Naiman Jalil. (2013). On the use of installed base information for spare parts logistics: A review of ideas and industry practice. International Journal of Production Economics, 143(2), 536-545.
Leonard Fortuin. (1984a). Expected demand for service parts when failure times have a Weibull distribution. European Journal of Operational Research, 17(2), 266-270.
Leonard Fortuin. (1984b). Initial supply and re-order level of new service parts. European Journal of Operational Research, 15(3), 310-319.
Warren A. French, Jan W. Henkel, John S. Kanet, & John B. Ford Iv. (1985). MRO parts service in the machine tool industry. Industrial Marketing Management, 14(4), 283-288.
Jia-zhen Huo, & Hu Li. (2007). Batch Ordering Policy of Multi-location Spare Parts Inventory System with Emergency Lateral Transshipments. Systems Engineering - Theory & Practice, 27(12), 62-67.
Basten R. J. I., van der Heijden M. C., & Schutten J. M. J. (2012). Joint optimization of level of repair analysis and spare parts stocks. European Journal of Operational Research, 222(3), 474-483.
Ilyas Mohamed Iyoob, & Erhan Kutanoglu. (2013). Inventory sharing in integrated network design and inventory optimization with low-demand parts. European Journal of Operational Research, 224(3), 497-506.
Vishv Jeet, Erhan Kutanoglu, & Amit Partani. (2009). Logistics network design with inventory stocking for low-demand parts: Modeling and optimization. IIE Transactions, 41(5), 389-407.
Tongdan Jin, & Yu Tian. (2012). Optimizing reliability and service parts logistics for a time-varying installed base. European Journal of Operational Research, 218(1), 152-162.
Bong-Ryong Jung, Byung-Geun Sun, Jong-Soo Kim, & Sun-Eung Ahn. (2003). Modeling lateral transshipments in multiechelon repairable-item inventory systems with finite repair channels. Computers & Operations Research, 30(9), 1401-1417.
Erhan Kutanoglu. (2008). Insights into inventory sharing in service parts logistics systems with time-based service levels. Computers & Industrial Engineering, 54(3), 341-358.
Erhan Kutanoglu, & Divi Lohiya. (2008). Integrated inventory and transportation mode selection: A service parts logistics system. Transportation Research Part E: Logistics and Transportation Review, 44(5), 665-683.
Erhan Kutanoglu, & Mohit Mahajan. (2009). An inventory sharing and allocation method for a multi-location service parts logistics network with time-based service levels. European Journal of Operational Research, 194(3), 728-742.
P. Lonardo, D. Anghinolfi, M. Paolucci, & F. Tonelli. (2008). A stochastic linear programming approach for service parts optimization. CIRP Annals - Manufacturing Technology, 57(1), 441-444.
Behbahani Morteza, Saghaee Abbas, & Noorossana Rassoul. (2012). A case-based reasoning system development for statistical process control: Case representation and retrieval. Computers & Industrial Engineering, 63(4), 1107-1117.
James A. Rappold, & Ben D. Van Roo. (2009). Designing multi-echelon service parts networks with finite repair capacity. European Journal of Operational Research, 199(3), 781-792.
Ruud H. Teunter, & Willem K. Klein Haneveld. (2002). Inventory control of service parts in the final phase. European Journal of Operational Research, 137(3), 497-511.
Benhür Satır, Secil Savasaneril, & Yasemin Serin. (2012). Pooling through lateral transshipments in service parts systems. European Journal of Operational Research, 220(2), 370-377.
C. D. Senanayake, & V. Subramaniam. (2013). Estimating customer service levels in automated multiple part-type production lines: An analytical method. Computers & Industrial Engineering, 64(1), 109-121.
A. Sleptchenko, M.C. van der Heijden, & A. van Harten. (2002). Effects of finite repair capacity in multi-echelon, multi-indenture service part supply systems. International Journal of Production Economics, 79(3), 209-230.
Filip Van Utterbeeck, Hartanto Wong, Dirk Van Oudheusden, & Dirk Cattrysse. (2009). The effects of resupply flexibility on the design of service parts supply systems. Transportation Research Part E: Logistics and Transportation Review, 45(1), 72-85.
Thomas R. Willemain, Charles N. Smart, & Henry F. Schwarz. (2004). A new approach to forecasting intermittent demand for service parts inventories. International Journal of Forecasting, 20(3), 375-387.
H. Yamashina. (1989). The service parts control problem. Engineering Costs and Production Economics, 16(3), 195-208.
Guangyuan Yang, Rommert Dekker, Adriana F. Gabor, & Sven Axsater. (2013). Service parts inventory control with lateral transshipment and pipeline stock flexibility. International Journal of Production Economics, 142(2), 278-289.
Chenxi Zhou, & S. Viswanathan. (2011). Comparison of a new bootstrapping method with parametric approaches for safety stock determination in service parts inventory systems. International Journal of Production Economics, 133(1), 481-485.