The Reliability, Availability and Productiveness of Systems

  • D. J. Sherwin
  • A. Bossche

Table of contents

  1. Front Matter
    Pages i-xi
  2. D. J. Sherwin, A. Bossche
    Pages 1-23
  3. D. J. Sherwin, A. Bossche
    Pages 24-35
  4. D. J. Sherwin, A. Bossche
    Pages 36-47
  5. D. J. Sherwin, A. Bossche
    Pages 48-56
  6. D. J. Sherwin, A. Bossche
    Pages 57-74
  7. D. J. Sherwin, A. Bossche
    Pages 75-90
  8. D. J. Sherwin, A. Bossche
    Pages 91-120
  9. D. J. Sherwin, A. Bossche
    Pages 133-161
  10. D. J. Sherwin, A. Bossche
    Pages 162-173
  11. D. J. Sherwin, A. Bossche
    Pages 174-190
  12. D. J. Sherwin, A. Bossche
    Pages 191-212
  13. D. J. Sherwin, A. Bossche
    Pages 213-243
  14. Back Matter
    Pages 244-270

About this book


This book is about the measurement and prediction of the reliability behaviour of systems of physical items. It is not specifically concerned with human factors with safety analysis as such, although some of the techniques discussed are adaptable to these purposes. A machine or an electronic circuit exemplifies a system. Each machine or circuit may also be treated as an item in a larger system. However, this does not reduce it suddenly to basic component status; it remains complex and can only be treated as unitary under definable restrictions. In particular, the effects of maintenance and component renewal must be considered most carefully. Previous books on system reliability have concentrated on one or two only of the six principal techniques available to the analyst. These are: 1. probability theory; 2. distributional statistics; 3. markov methods (matrix algebra); 4. fault and event trees (Boolean logic); 5. theory of renewal processes; 6. directional graph theory (di-graphs). This book relates these methods to one another and to their applications. The authors feel that previous books which concentrated upon one tech­ nique and the contortions necessary to use it in every possible situation may have misled readers into believing that there were no other methods and that some real problems were intractable or more difficult to solve than need be. For example, several results which are proved in other books for items with exponentially distributed times to/between failures are shown to be independent of distribution.


algebra basics data analysis management manufacturing measurement median network probability reliability symbols

Authors and affiliations

  • D. J. Sherwin
    • 1
  • A. Bossche
    • 2
  1. 1.School of Mechanical and Manufacturing EngineeringQueensland University of TechnologyAustralia
  2. 2.Department of Electrical EngineeringDelft University of TechnologyThe Netherlands

Bibliographic information

Industry Sectors
Materials & Steel
Chemical Manufacturing
Consumer Packaged Goods
Energy, Utilities & Environment
Oil, Gas & Geosciences