預應維護計劃是智能製造行業最重要的活動之一，它對運營成本和生產質量具有重大影響。本研究提出一個預應維護計劃程序並進行案例研究。文中介紹兩個程序來估計執行維護任務的最佳時間。首先，基於可靠性的方法用於計算機台設備在指定時間內無故障運行的機率。其次，維護成本導向方法則負責計算總維護成本。本研究之案例研究揭露，所發展之預應維護計劃簡易、計算負荷少，並提供有關執行維護的最佳時間，同時降低所需成本的資訊量。所發展之預應維護計劃模式，決策者可用於維護計劃的解決方案和指南，從而為組織帶來效益。

Maintenance planning is one of the most essential activities in the smart manufacturing industry as it has significant influences on operations cost and production quality. In this study, a maintenance plan program is suggested and a case study is conducted to review the model. Here, two methods are presented for estimating the optimum time to perform maintenance tasks. The machine reliability-based approach is applied for calculating probability of a machine to function without failure for a specified period of time and the maintenance cost-oriented approach responsible for calculating the total maintenance cost. The case study shows that the proposed maintenance plan program can be easily accessed, is simple, requires minimum computation, and provides the information when is the best time to do maintenance while keeping the cost down. This information can be used as a solution and guidance for decision-makers that leads to benefits for the organization.

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