可靠度問題通常可分為可靠度設計與可靠度壽命二類，為求取系統於最適運作效率，尋求維持系統可靠度所需之最佳維修策略，而較少涉及於系統生命操作中期，運用以投資增加可靠度的方式求取系統生命週期成本最佳化的問題。本研究建立一數學迴歸模型來描述投資成本與可靠度之關係，用以預測提升可靠度之投資成本，同時結合以顧客導向為基礎之UNIFE生命週期成本模型，以降低生命週期成本為目標，尋求提升可靠度之最佳投資。再者，透過工業泵浦之實際案例，應用此模型進行數值分析，驗證透過可靠度的提升以降低系統之期望維修成本，藉以求得最佳的系統生命週期成本。

Compare with most studies dividing the reliability issues into design or evaluate a system’s life cycle by a required reliability level to determine an optimal maintenance strategy for keeping a given operating performance, there are seldom studies concentrates on an optimal mid-life reliability improvement strategy to minimize a system’s life cycle cost. This study constructs a simple linear regression model to predict the investment for reliability improvement and use a customer-based life cycle cost model from UNIFE to determine an optimal total life cycle cost, using the hypothesis of the lowest life cycle cost is the optimal solution. Also, applying the model to industrial pumps as case to prove that through reliability improvement, pumps’s expected maintenance cost will decent and so the total life cycle cost.

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