降低生產成本並確保產品品質乃管理者追求的重要目標，當生產設備操作消耗一段期間後，故障機率會增加，但若能適時維護，可延續設備使用年限並確保產品的生產品質。在全面競爭且要求客製化的市場，客戶需求不穩定，設備須長時間連續運轉以滿足顧客需求，致使設備之維護策略益顯重要。故本文之目的在探討建構維護設備的有效模式並如何維護此一模式且不斷運用，以增加其有效運轉時數相對地減少維護時間及延長生產設備的效期壽命，並提升使用設備的效率，最終達到維護成本花費最少。
為要增加運轉時數、減少維護時間，在生產過程中使用適當監測儀器設備，周延及適時監視，並能及時、準確地偵測到將發生故障的設備及地方，妥適修護、降低成本；另外，深一層考慮到一個有用的維護管理成本最佳化理論模型，更能降低維護成本。本研究利用關鍵的經驗參數，利用模擬測試找出最佳數據組合，確定最大運轉操作時間、降低維護時數，不僅可以延長其壽命也減少維護成本。在計劃性維護生命週期內的設備，發生故障的狀況及偏差較難掌握情況下，維護費用就會提高，然而，當維修模型進一步改善，使改善過後之設備回復其運轉運作能力，因此初期建立一個遞迴方程式之最佳化模型，利用「改善」方式切實執行維護工作，延長機器設備的生命週期。本研究模式主要參數包括“運轉起動次數”、“運轉時數”、“工作時間”、“維護改善因子”、和“有關溫度限制的設備”。
最後以模擬方式和微分方法，求得最佳的時間點及維護次數，可降低維修費用或延長運轉時數。並列舉實例說明，找出其總維修次數最少的方式，在本文中取用維護次數可減少2次之數據組合，可提升可用時間六年為最佳，使降低總維護成本為新台幣154,166,020,527元。

Reduce the production cost and the products quality guaranteed are important goals by the administrator pursues, after while operating and consuming one period of time with production equipment, trouble probability will increase, but if we can do the maintenance just in right time, the service life of apparatus can be extended and the production quality will be in firm. Under the completive, customization market, and the purchase order from the customers are various, the apparatus are continuously, in order to reach customer's requirements, the strategy of how to do the maintenance would be significant. The purpose of this study is to explore and set up an effective model for a timely maintenance schedule and keep this model running constantly, in order to increase the effective running hours and reduce the hours of maintenance of that extends the longevity and improves the efficiency of production equipment, at finally, to have the lowest cost of maintenance.
In order to increase the running hour and reduce the hours of maintenance, the monitors applied during the producing process appropriately, monitoring in right time can detect the which apparatus and where the break down will be occurred in advance, and do good care of maintenance, reduce the cost, in additional, one more to consider that an effortless application of maintenance theories is useful for managers on cost optimization, the maintenance cost can be reduced more this study aims to use few key empirical parameters utilize the mock test to find out the best data group to determine the best operation hours, reduce the maintenance hours which not only can lengthen their maximum life span but also reduce maintenance costs. Besides, concerned with that within the planned life cycle of the facilities, there can be some unexpected occasions, such as the deviation of demands are hard to control, the maintenance cost would be increased, that the maintenance modules by the models may no longer be robust, in the beginning we here develop an recursive operation time maximization model, the way of “improvement” applied for managing practically the maintenance task. The main parameters of this model included “number of operation starting times”, “operation hours”, “maintenance improvement factor”, and “temperature of equipment”.
Simulations and differential equations are applied to obtain the optimal time points when the least maintenance cost occurred. The results of the employed example indicate and find out the best way of total maintenance times, and the total times of maintenance can be reduced by two times and upgrade is available for 6 years would be the best make up, and reduce total maintenance costs NT 154,166,020,527.

一、中文部分
1.詹定宇，“機器設備維護管理之研究”，國立成功大學工業管理研究所碩士論文，1976。
2.鄭達才，“設備維護管理現在與未來”，中國生產力出版，2000。
3.杜春長、余志成，“產品維修適宜性的自動化分析”，中華民國自動化科技學會第十一屆全國自動化科技研討會，2000。
4.紀冠安，“考慮成本與可靠度之不安全預防維護模型”，朝陽科技大學工業工程與管理研究所碩士論文，2001。
5.顧尚芳，“生產系統中利用製程不良率評估設備預防維護之研究”，中原大學工業工程研究所碩士論文，2002。
6.楊朝順，“考慮失效率限制之週期預防維護模型之研究”，朝陽科技大學工業工程與管理研究所碩士論文，2003。
7.陳良進，“設備維護管理與生命週期成本之探討”，國立成功大學工學院工程管理碩士在職專班碩士論文，2005。
8.吳權泰，“馬可夫過程的預防維護模型之研究”，國立中央大學機械工程研究所碩士論文，2003。
9.許芳勳，“動態可靠度模型之探討及其應用”，國立中央大學機械工程研究所博士論文，2001。
10.陳銘男、陳棟良，“全面生產維護模型初探 - 運用無線射頻辨識技術於汽輪機為例”，南榮技術學院，國際研討會，2007。
11.呂執中、陳棟良，“RFID在預防維護系統運作模式之探討”，中華民國工業工程學會，2006。

二、英文部分
1.Aghezzaf, E. H., Jamali, M. A., Ait-Kadi, D., An integrated production and preventive maintenance planning model. European Journal of Operational Research, 181(2), 679–685, 2007.
2.Badia, F. G., Berrade, M. D., Campos C. A., Optimal inspection and preventive maintenance of units with revealed and unrevealed failures. Reliability Engineering and system safety, 78(2), 157–163, 2002.
3.Bartholomew-Biggs, M., Christianson, B., Zuo, M., Optimizing preventive maintenance models. Computational Optimization and Applications, 35(2), 261–279, 2006.
4.Bayraktar, D., A knowledge-based expert system approach for the auditing process of some elements in the quality assurance system. International Journal of Production Economics, 56-57(1), 37–46, 1998.
5.Ben-Daya, M., Rahiam, M.A., Effect of maintenance on the economic design of x-control chart. European Journal of Operational Research, 120(1), 131–143, 2000.
6.Bishop, I. D., Miller, D. R., Visual assessment of off-shore wind turbines the influence of distance, contrast, movement and social variables. Renewable Energy, 32(4), 814–831, 2007.
7.Canto, S. P., Application of Benders’ decomposition to power plant preventive maintenance scheduling. European Journal of Operational Research, 184(2), 759–777. 2008.
8.Chan, L.Y., Xie, M., Goh, T.N., Cumulative quantity control charts for monitoring production processes. International Journal Production Research, 38(2), 397–408, 2000.
9.Chang, S. Y., Li, D. C., Chen, T. L. Using an EPC Network to improve monitoring systems for continuous operating equipment ¾ a thermal power plant example. Proceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 224(1), 1437–1445, 2010.
10.Chen, S. C., Huang, J. M., Yang, C. C., Lin, W. T., Failure evaluation and the establishment of an improvement model for product data management introduced to enterprises. International Journal Advanced Manufacturing Technology, 35(1-2), 195–209, 2006.
11.Chen, T. L., Real-time turbine maintenance system. Expert Systems with Applications, 36(4), 8676–8681, 2009.
12.Das, K., Lashkari, R. S., Sengupta S., Machine reliability and preventive maintenance planning for cellular manufacturing systems. European Journal of Operational Research, 183(1), 162–180, 2007.
13.DePuy, G. W., Usher, J. S., Walker, R. L., Taylor, G. D., Production planning for remanufactured products. Production Planning & Control, 18(7), 573–583, 2007.
14.Duarte, J. A. C., Craveiro, J. C. T. A., Trigo, T. P., Optimization of the preventive maintenance plan of a series components system. International Journal of Pressure Vessels and Piping, 83(4), 244–248, 2006.
15.Eti, M.C., Ogaji, S.O.T., Probert, S. D., Reducing the cost of preventive maintenance (PM) through adopting a proactive reliability-focused culture. Applied Energy, 83(11), 1235–1248, 2006.
16.Fynes, B., Burca, S. D., The effects of design quality on quality performance. International Journal of Production Economics, 96(1), 1–14, 2005.
17.Gilardoni, G. L., Colosimo, E. A., Optimal maintenance time for repairable systems. Journal of Quality Technology, 39(1), 48–53, 2007.
18.Grigoriev, A., Klundert, J., Spieksma, F. C. R., Modeling and solving the periodic maintenance problem. European Journal of Operational Research, 172(3), 783–797, 2006.
19.Hansen, C.K., Thyregod, P., Analysis of integrated circuit fault data using generalized linear models. Quality and Reliability Engineering International, 16(3), 173–185, 2000.
20.Hariga, M.A., A maintenance inspection model for a single machine with general failure distribution. Microelectron Reliability, 36(3), 353–358, 1996.
21.Jackson, C. Pascual, R., Optimal maintenance service contract negotiation with aging equipment. European Journal of Operational Research, 189(2), 387–398, 2008.
22.Jaturonnatee, J., Murthy, D. N. P., Boondiskulchok, R., Optimal preventive maintenance of leased equipment with corrective minimal repairs. European Journal of Operational Research, 174(1), 201–215, 2006.
23.Joo, S. J., Scheduling preventive maintenance for modular designed components: A dynamic approach. European Journal of Operational Research, 192(2), 512–520, 2009.
24.Käschel, J., Teich, T., Zacher B., Real-time dynamic shop floor scheduling using evolutionary algorithms. International Journal of Production Economics 79(2), 113–120, 2002.
25.Knowles, G., Vickers, G., Anthony, J., Implementing evaluation of the measurement process in an automotive manufacturer: a case study. Quality and Reliability Engineering International, 19(5), 397–410, 2003.
26.Laggoune, R., Chateauneuf, A., Aissani, d., Preventive maintenance scheduling for a multi-component system with non-negligible. International Journal of Systems Science, 41(7), 747–761, 2010.
27.Li, D. C., Liu, C. W., Chen,T. L., Recursive operation time maximization model for the maintenance of power generation equipment. Computers & Operations Research, 39(5), 2012.
28.Liao, G. L., Optimal production correction and maintenance policy for imperfect process. European Journal of Operational Research, 182(3), 1140–1149, 2007.
29.Linderman, K., McKone-Sweet, K. E., Anderson, J. C., An integrated system approach to process control and maintenance. European Journal of Operational Research, 164(4), 324–340, 2005.
30.Lindqvist, B. H., Støve B., Langseth H., Modelling of dependence between critical failure and preventive maintenance: The repair alert model. Journal of Statistical Planning and Inference, 136(5), 1701–1717, 2006.
31.Liu, C. M., Chen, L. S., Romanowski, R. M., An electronic material flow control system for improving production efficiency in integrated-circuit assembly industry. International Journal Advanced Manufacturing Technology, 42(3-4), 348–362, 2009.
32.Liyanage, J. P., Operations and maintenance performance in production and manufacturing assets. Journal of Manufacturing Technology Management, 18(3), 304–314, 2007.
33.Lugtigheid, D., Jardine1, A. K. S., Jiang, X., Optimizing the performance of a repairable system under a maintenance and repair contract. Quality and Reliability Engineering International, 23(8), 943–960, 2007.
34.Lyu, J. J., Chen,T. L., Optimize a RFID-based turbine maintenance model ¾ a preliminary study. The IEEE International Conference on Industrial Engineering and Engineering Management, 6(1), 501–505, 2009.
35.Lyu, J. J., Chen,T. L., A case study of TPM model for turbine. 12th International Conference on ISO 9000 & TQM, 9-11(4), 04–09, 2007.
36.Lyu, J. J., Chang, S. Y., Chen, T. L., Integrating RFID with quality assurance system – Framework and applications. Expert Systems with Applications, 36(8), 10877–10882, 2009.
37.Maróti, G., Kroon, L., Maintenance routing for train units: The interchange model. Computers & Operations Research 34(4), 1121–1140, 2007.
38.Mandel, J., Repeatability and reproducibility. Journal of Quality Technology 4(2), 74–85, 1972.
39.Mohamed, B.D., Rahiam, M.A., Effect of maintenance on the economic design of x-control chart. European Journal of Operational Research, 120(1), 131–143, 2000.
40.Mourtzis, D., Papakostas, N., Makris, S., Xanthakis, V., Chryssolouris, G., Supply chain modeling and control for producing highly customized products. CIRP Annals – Manufacturing Technology, 57(1), 451–454, 2008.
41.Mukhopadhyay, S. K., Shanker, S., Kanban implementation at a tyre manufacturing plant: a case study. Production Planning & Control, 16(5), 488–499, 2005.
42.Ngai, E., Riggins, F., RFID: Technology, applications, and impact on business operations. International Journal of Production Economics, 112(3), 507–509, 2008.
43.Panagiotidou, S., Tagaras, G., Optimal preventive maintenance for equipment with two quality states and general failure time distributions. European Journal of Operational Research, 180(1), 329–353, 2007.
44.Park, D. H., Jung, G. M., Yum, J. K., Cost minimization for periodic maintenance policy of a system subject to slow degradation. Reliability Engineering and System Safety, 68(2), 105–112, 2000.
45.Pongpech, J., Murthy, D. N. P., Optimal periodic preventive maintenance policy for leased equipment. Reliability Engineering and System Safety, 91(7), 772–777, 2006.
46.Regattieri, A., Gamberi, M., Manzini, R., Traceability of products: General framework and experimental evidence. Journal of Food Engineering, 81(1), 347–356, 2007.
47.Rhee, S. A., Ishii, K., Using cost based FMEA to enhance reliability and serviceability. Advanced Engineering Informatics, 17(3-4), 179–188, 2003.
48.Ruiz, R., García-Díaz, C., Maroto, C., Considering scheduling and preventive maintenance in the flowshop sequencing problem. Computers & Operations Research, 34(1), 3314–3330, 2007.
49.Safari, E., Sadjadi, S. J., Shahanaghi, K., Scheduling flowshops with condition-based maintenance constraint to minimize expected makespan. International Journal Advanced Manufacturing Technology, 46(5-8), 757–767, 2010.
50.Sami, E. F., Mohamed B. D., Age-based hybrid model for imperfect preventive maintenance. IIE Transactions, 38(4), 365–375, 2006.
51.Sandve, k., Aven, T., Cost optimal replacement of monotone, repairable systems. European Journal of Operational Research, 116(2), 235–248, 1999.
52.Selim, M., Gurel, A. S., Machining conditions-based preventive maintenance. International Journal of Production Research, 45(8), 1725–1743, 2008.
53.Sheu, D.D., Kuo, J. Y., A model for preventive maintenance operations and forecasting. Journal of Intelligent Manufacturing, 17(4), 441–451, 2006.
54.Tadashi, D., Hiroyuki, O., Shunji, O., Optimal control of preventive maintenance schedule and safety stocks in an unreliable manufacturing environment. International journal of production economics, 74(1-3), 147–155, 2001.
55.Tam, A. S. B., Chan, W. M., Price, J. W. H., Optimal maintenance intervals for a multi-component system. Production Planning & Control, 17(8), 769–779, 2006.
56.Thiesse, F., Fleisch, E., On the value of location information to lot scheduling in complex manufacturing processes. International Journal of Production Economics, 112(2), 532–547, 2008.
57.Tu, Q., Vonderembse, M. A., And Ragu-Nathan., Manufacturing practices: antecedents to mass customization. Production Planning & Control, 15(4), 373–380,. 2004.
58.Turk, A. M., ISO 9000 in construction: an examination of its application in turkey. Building and Environment, 41(4), 501–511, 2006.
59.Urban, H., A reliability distribution with increasing, decreasing, constant and bathtub-shaped failure rates. Technometrics, 22(1), 99–107, 1980.
60.Vaughan, T. S., Failure replacement and preventive maintenance spare parts ordering policy. European Journal of Operational Research, 161(1), 183–190, 2005.
61.Weide, J. A. M. V. D., Pandey, M. D., Noortwijk, J. M. V., Discounted cost model for condition-based maintenance optimization. Reliability Engineering and System Safety, 95(3), 236–246, 2010.
62.Yang, J., Han, S., Kang, H., Kim, J., Product Data Quality Assurance for E- Manufacturing in the Automotive Industry. International Journal of Computer Integrated Manufacturing, 19(2), 136–147, 2006.
63.Yang, Q. H., Qi, G. N., Lu, Y. J., Gu, X. J., Applying Mass Customization to The Production of Industrial Steam Turbines. International Journal of Computer Integrated Manufacturing, 20(2-3), 178–188, 2007.
64.Yeh, R. H., Chen, C. K., Periodical preventive-maintenance contract for a leased facility with Weibull life-time. Quality & Quantity, 40(2), 303–313, 2006.
65.Yuniarto, M. N., Labib, A. W., Fuzzy adaptive preventive maintenance in a manufacturing control system a step towards self-maintenance. International Journal of Production Research, 44(1), 159–180, 2006.
66.Zhang, Z., Lee, M. K. O., Huang, P., Zhang, L., Huang, X., A framework of ERP systems implementation success in China: An empirical study. International Journal of Production Economics, 98(1), 56–80, 2005.