The efficient functioning of modern society depends on the smooth operation of many complex systems which provide products and services. These include transport systems, communication systems, utilities, manufacturing plants, processing plants, hospitals and banks. Such systems are unreliable in the sense that they degrade with age and/or usage and fail when they are no longer capable of delivering the products and services. When a complex system fails, the consequences can be dramatic. It can result in serious economic losses, affect humans and do serious damage to the environment. These failures can be controlled through preventive maintenance actions.
Due to advances in the understanding of the physics of failure, and in the technologies used to combat this failure; the literature on maintenance of unreliable systems is vast. Complex System Maintenance Handbook is the first book to integrate this vast literature with chapters written by internationally-renowned active researchers and experienced practitioners focussing on different aspects of maintenance. Each chapter reviews the literature dealing with a particular aspect of maintenance, reports on developments and trends in a particular industry sector, or presents a case study.
Complex System Maintenance Handbook narrows the gap between theory and practice and will trigger new research on different aspects of maintenance. It will be of interest to maintenance engineers and managers working in industry, as well as researchers and graduate students in the fields of maintenance, industrial engineering and applied mathematics.
Author(s): Khairy A. H. Kobbacy PhD, D. N. Prabhakar Murthy PhD (auth.)
Series: Springer Series in Reliability Engineering
Edition: 1
Publisher: Springer-Verlag London
Year: 2008
Language: English
Pages: 660
Tags: Quality Control, Reliability, Safety and Risk;Technology Management;Systems and Information Theory in Engineering;Engineering Economics, Organization, Logistics, Marketing
Front Matter....Pages i-xi
Front Matter....Pages 1-1
An Overview....Pages 3-18
Front Matter....Pages 19-19
Maintenance: An Evolutionary Perspective....Pages 21-48
New Technologies for Maintenance....Pages 49-78
Reliability Centred Maintenance....Pages 79-108
Front Matter....Pages 109-109
Condition-based Maintenance Modelling....Pages 111-131
Maintenance Based on Limited Data....Pages 133-154
Reliability Prediction and Accelerated Testing....Pages 155-178
Preventive Maintenance Models for Complex Systems....Pages 179-207
Artificial Intelligence in Maintenance....Pages 209-231
Front Matter....Pages 233-233
Maintenance of Repairable Systems....Pages 235-261
Optimal Maintenance of Multi-component Systems: A Review....Pages 263-286
Replacement of Capital Equipment....Pages 287-319
Maintenance and Production: A Review of Planning Models....Pages 321-344
Delay Time Modelling....Pages 345-370
Front Matter....Pages 371-371
Maintenance Outsourcing....Pages 373-393
Maintenance of Leased Equipment....Pages 395-415
Computerised Maintenance Management Systems....Pages 417-435
Risk Analysis in Maintenance....Pages 437-458
Maintenance Performance Measurement (MPM) System....Pages 459-478
Forecasting for Inventory Management of Service Parts....Pages 479-506
Front Matter....Pages 507-507
Maintenance in the Rail Industry....Pages 509-531
Condition Monitoring of Diesel Engines....Pages 533-557
Benchmarking of the Maintenance Process at Banverket (The Swedish National Rail Administration)....Pages 559-583
Integrated e-Operations-e-Maintenance: Applications in North Sea Offshore Assets....Pages 585-609
Fault Detection and Identification for Longwall Machinery Using SCADA Data....Pages 611-641
Back Matter....Pages 643-657
