Reliability and Maintenance Modeling with Optimization
Advances and Applications
1st Edition
Published on 27. April 2023
Book
Hardback
356 pages
978-0-367-55805-5 (ISBN)
Description
Reliability 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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Academic and Professional
Illustrations
53 s/w Tabellen, 88 s/w Abbildungen, 5 s/w Photographien bzw. Rasterbilder, 83 s/w Zeichnungen
53 Tables, black and white; 83 Line drawings, black and white; 5 Halftones, black and white; 88 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 25 mm
Weight
725 gr
ISBN-13
978-0-367-55805-5 (9780367558055)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Mitsutaka Kimura | Satoshi Mizutani | Mitsuhiro Imaizumi
Reliability and Maintenance Modeling with Optimization
Advances and Applications
Book
11/2024
1st Edition
CRC Press
€86.50
Shipment within 15-20 days
Mitsutaka Kimura | Satoshi Mizutani | Mitsuhiro Imaizumi
Reliability and Maintenance Modeling with Optimization
Advances and Applications
E-Book
04/2023
1st Edition
CRC Press
€78.99
Available for download
Mitsutaka Kimura | Satoshi Mizutani | Mitsuhiro Imaizumi
Reliability and Maintenance Modeling with Optimization
Advances and Applications
E-Book
04/2023
1st Edition
CRC Press
€78.99
Available for download
Persons
Prof. Kimura earned his Ph.D. degree from Nagoya Institute of Technology in 2002, and joined the current institute as a lecturer in the same year. He was promoted to a full professor in 2017. During his 15 years academic career, he published 5 book chapters, 21 journal papers and 47 peer-reviewed international conference papers.
Prof. Mizutani moved to Aichi Institute of Technology as an associate professor from Aichi University of Technology in 2016. He published 4 book chapters, 17 journal papers in addition to many international peer-reviewed conference papers.
Prof. Imaizumi received his Ph.D. degree from Aichi Institute of Technology in 1999 after joining Aichi Gakusen University as a teaching assistant. He was promoted to a full professor at the same university in 2012, and published over 70 articles in journals and proceedings.
Prof. Ito joined Tottori University as a full professor in 2017. Prior to joining the current university, he spent almost 33 years in Mitsubishi Heavy Industry, Inc. as a technical stuff in the research and development divisions. He published 60 peer-reviews papers during his career in industry and academia. He received his Ph.D. degree from Aichi Institute of Technology in 1999.
Prof. Mizutani moved to Aichi Institute of Technology as an associate professor from Aichi University of Technology in 2016. He published 4 book chapters, 17 journal papers in addition to many international peer-reviewed conference papers.
Prof. Imaizumi received his Ph.D. degree from Aichi Institute of Technology in 1999 after joining Aichi Gakusen University as a teaching assistant. He was promoted to a full professor at the same university in 2012, and published over 70 articles in journals and proceedings.
Prof. Ito joined Tottori University as a full professor in 2017. Prior to joining the current university, he spent almost 33 years in Mitsubishi Heavy Industry, Inc. as a technical stuff in the research and development divisions. He published 60 peer-reviews papers during his career in industry and academia. He received his Ph.D. degree from Aichi Institute of Technology in 1999.
Content
1. 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 ?-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.