Description
Book SynopsisReliability and maintenance modeling with optimization is the most fundamental and interdisciplinary research area that can be applied to every technical and management field. Reliability and Maintenance Modeling with Optimization: Advances and Applications aims at providing the most recent advances and achievements in reliability and maintenance.
The book discusses replacement, repair, and inspection, offers estimation and statistical tests, covers accelerated life testing, explores warranty analysis manufacturing, and includes service reliability.
The targeted readers are researchers interested in reliability and maintenance engineering. The book can serve as supplemental reading in professional seminars for engineers, designers, project managers, and graduate students.
Table of Contents1. Nine Memorial Research Works. 2. Replacement First and Last Policies with Random Times for Redundant Systems. 3. Backup Policies with Random Data Updates. 4. An Optimal Age Replacement Policy for a Reparable System Consisting of Main and Auxiliary Subsystems. 5. Extended replacement policy in damage models. 6. Optimal Checking Policy for a Server System with Cyber Attack. 7. Reliability Analysis of Congestion Control Scheme with Code Error Correction Methods. 8. The Optimal Design of Consecutive-k Systems. 9. Optimal Social Infrastructure Maintenance Models. 10. Optimal Maintenance Problem with OSS-Oriented EVM for OSS Project. 11. Reliability Assessment Model Based on Wiener Process Considering Network Environment for Edge Computing. 12. Approximated Estimation of Software Target Failure Measures Conforming IEC 61508. 13. Phase-Type Expansion of Markov Regenerative Processes and Its Application to Reliability Problems. 14. A Hybrid Model Fitting Framework considering Accuracy and Performance. 15. Alternating α-Series Process. 16. Optimum Staggered Testing Strategy for Redundant Safety Instrumented Systems with Different Testing Intervals. 17. Modules Of Multi-State Systems - Introduction To Three Modules Theorem. 18. A postponed repair model for a mission-based system based on a three-stage failure process.
