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<p>In industrial environments such as manufacturing systems, military equipment, power generation systems, maintenance is typically performed between consecutive missions. However, traditional methods for determining planned replacement times may lead to replacements being scheduled during the mission and significantly overestimate the replacement needs. This can result in mission failure, or increased risk of system failure during the mission, potentially leading to severe accidents and substantial economic losses. Consequently, to ensure the required reliability and maintainability of such systems, it is crucial to develop an appropriate preventive maintenance policy with mission duration. To maintain large and complex systems, this paper begins by considering a basic replacement of mission-oriented systems with age-dependent minimal repairs. Then, two replacement triggering methods are discussed in detail, and the optimal replacement time and mission duration are determined by through analytical and numerical methods. A numerical example is provided to illustrate the proposed models. Additionally, a simple case study involving the maintenance of a glass factory production system is presented, comparing the replacement first (RF) and replacement policies using assumed data.</p>

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Optimal replacement policies for a system with age-dependent minimal repair, mission durations and replacement triggering approaches

  • 期刊论文

  • 发表日期：

    2026年2月11日

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  • Shey-Huei Sheu,
  • Tzu-Hsin Liu,
  • Wei-Teng Sheu,
  • Kuo-Hao Chang,
  • Zhe George Zhang,
  • Shin-Li Lu

摘要

In industrial environments such as manufacturing systems, military equipment, power generation systems, maintenance is typically performed between consecutive missions. However, traditional methods for determining planned replacement times may lead to replacements being scheduled during the mission and significantly overestimate the replacement needs. This can result in mission failure, or increased risk of system failure during the mission, potentially leading to severe accidents and substantial economic losses. Consequently, to ensure the required reliability and maintainability of such systems, it is crucial to develop an appropriate preventive maintenance policy with mission duration. To maintain large and complex systems, this paper begins by considering a basic replacement of mission-oriented systems with age-dependent minimal repairs. Then, two replacement triggering methods are discussed in detail, and the optimal replacement time and mission duration are determined by through analytical and numerical methods. A numerical example is provided to illustrate the proposed models. Additionally, a simple case study involving the maintenance of a glass factory production system is presented, comparing the replacement first (RF) and replacement policies using assumed data.