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April 23, 2026Mathematics0 citationsOpen Access

Reliability and Availability Analysis of k-Out-of-M+S Retrial Machine Repair System with Two-Way Communication

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CHChen-Hsiang HsiehTLTzu-Hsin LiuFCFu‐Min Chang

Key Points

  • The research aims to analyze the reliability and availability of a k-out-of-(M+S) machine repair system that incorporates proactive repairman behavior.
  • Utilized matrix analytic method and recursive approach to derive steady-state probabilities.
  • Applied Runge-Kutta method for evaluating system reliability and mean time to failure.
  • Conducted sensitivity analysis with numerical experiments and graphical illustrations.
  • Identified key performance measures related to system reliability and availability.
  • Formulated a cost-benefit model for decision-making in system operations.
  • Implemented a genetic algorithm to find optimal values for minimizing the cost-benefit ratio.

Abstract

This paper studies the reliability and availability of a k-out-of-(M+S) retrial machine repair system with two-way communication, consisting of M primary components and S warm standby components. The system incorporates the retrial behavior of failed components. When the repairman becomes idle, he initiates outgoing calls after a random period either to failed components in the orbit for repair or to components outside the orbit for preventive maintenance. The main contribution of this study is the incorporation of proactive repairman behavior, which more realistically captures operational practices in certain engineering systems. By employing the matrix analytic method together with a recursive approach, the steady-state probabilities of the system are obtained, and several important performance measures are derived. Furthermore, the Runge–Kutta method is used to evaluate the system reliability and the mean time to failure. A sensitivity analysis is conducted to investigate the effects of key system parameters, supported by numerical experiments and graphical illustrations. Finally, a cost–benefit model is formulated, and a genetic algorithm is implemented to determine the optimal values of the decision variables that minimize the cost–benefit ratio.

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Cite This Study

Hsieh et al. (2026) studied this question.

synapsesocial.com/papers/69e9b7c585696592c86eb5cahttps://doi.org/10.3390/math14081400
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Reliability assessment and bi-objective optimization in repairable redundant retrial systems with working breakdown and Bernoulli feedback2026
  2. 2Comparative Cost‐Benefit Analysis of Four Retrial Systems With Warm Standby Components and Two Modes of Failure2025 · 1 citations
  3. 3Bayesian inference for reliability of K -out-of- N : G repairable retrial systems with mixed standbys, switching failure and reboot delay2024 · 2 citations
  4. 4Multi-Objective Optimization of a Multi-Server Retrial Machine Repair System with Orbital Search and Synchronous Vacation2026
  5. 5Availability analysis of imperfect repairable system subject to inspection2024