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Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models : Theory and Applications - Softcover reprint of the original 1st ed. 2019

By: (Edited by) Kusum Deep , (Edited by) Madhu Jain , (Edited by) Said Salhi

Extended Catalogue

Ksh 16,200.00

Format: Paperback or Softback

ISBN-10: 9811345198

ISBN-13: 9789811345197

Edition: Softcover reprint of the original 1st ed. 2019

Series: Asset Analytics

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 2nd, 2019

Print length: 282 Pages

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This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory.

This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability theory for the performance prediction and optimal design of real-time engineering systems including call centers, telecommunication, manufacturing, service organizations, etc. For the day-to-day as well as industrial queuing situations and reliability prediction of machining parts embedded in computer, communication and manufacturing systems, the book assesses various measures of performance and effectiveness that can provide valuable insights and help arrive at the best decisions with regard to service and engineering systems. 

In twenty chapters, the book presents both theoretical developments and applications of the fuzzy logic, reliability and queuing models in a diverse range of scenarios. The topics discussed will be of interest to researchers, educators and undergraduate students in the fields of Engineering, Business Management, and the Mathematical Sciences. 


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