大多數的工業生產系統會受限於使用年限，而使其作業績效趨於退化。為預防系統退化與失效，維修管理作業將扮演一關鍵性的角色。人員對機器設備進行維修作業過程中，期望設備能達到最大的可用度。系統可用度提高的方式，除了作業人員加以訓練之外，亦可改良設備，使設備能容忍人為操作上的小錯誤，在容許的時間內加以復原，則可使系統之可用度提高。
本研究內容分為兩大部份，首先建立一維修管理的隨機模式，於此模式中考慮人為錯誤與復原因子，以預測模式參數與系統可用度之關係。其重點，即是在系統進行維修作業時，加入人為因素之影響，並且考慮硬體容忍人為錯誤的復原機制，來評估維修管理作業中人機系統的可用度。於求解維修管理模式中人員個數配置與維護週期設定之分析解，其間設計一複式飼水系統之模擬實驗，用以估計系統中之容錯時間、人為錯誤率等相關參數，導入補充變數法用以協助求解，並預測系統可用度與參數之關係。
鑒於飛行器維修作業中人為錯誤對飛航安全之影響，日漸為學者強調。研究第二部份，將所建立之維護管理模式之概念，使用國內某甲航空公司之維修管理的歷史資料，導入物件導向式方法之應用軟體（DRAMA2.0），並將此模式應用於飛行器維修管理工作，建構一線上飛行器維護管理決策支援系統，用以即時提供相關的維修管理資訊，予不同階層之維修管理者完成維修工作，提高維修管理績效。
本研究所發展之維修管理模式，因受限於求解過程中之假設條件，以及飛行器飛行安全資料蒐集之不易，而無法全面落實導入飛行器維護管理決策支援系統中。但在模式中所揭示影響維修管理作業績效之重要因素（如：人員配置、維修週期之設定），及維修人員對所產生之人為錯誤，自我復原因子設計之概念，透過此決策支援系統之平台提供飛行器維修管理部門相關作業人員使用。經與相關人員訪談，使用者主觀認為，在減少維修作業時間、降低工作壓力、維修人員調度及維修成本預測等方面有正面的效果。

Most Industrial production systems are subject to deterioration with usage and age. Such system deterioration may lead to higher production costs and lower product quality and increase possibility of breakdown. Maintenance management plays a critical role in preventing deterioration and failures of the system. Executing maintenance management in the production systems will promote the system availability. There are two aspects on increasing system availability: operators are trained to decrease the human error rate, and the other way, the equipment will be designed to tolerate the slight human error and recover it in time.
There are two objectives of this study, 1) A stochastic model of the maintenance management would be developed. The maintenance management model was applied to construct the relationships among maintenance cycle, maintenance personnel allocation, human recovery factor, and system’s tolerance time. In addition, a simulated experiment was conducted to find out the supplementary parameters such as individual latent human error, individual critical human error, recovery rate, and system’s tolerance time. 2) This model would be applied to an aircraft maintenance management decision support system to help maintenance managers to accomplish tasks. In application, maintenance management records of the a local Airline were used and a aircraft maintenance management decision support system （AMMDSS） was structured for the maintenance management department of the airline company to provide maintenance management information including total maintenance cost, standard maintenance task process, the optimal combination of the maintenance personnel, and the reliability of the maintenance management.
Being limited to the conditions of maintenance management model and aircraft maintenance record, the parameters of maintenance model can’t be used to AMMDSS completely. However, the concepts of recovering human error, locating maintenance personnel, and setting maintenance cycle will be designed into AMMDSS. User subjectively validate the system be helpful to maintenance management.

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