Performance prediction and analytics of fuzzy, reliability and queuing models : theory and applications /

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Bibliographic Details
Imprint:Singapore : Springer, [2019].
Description:1 online resource.
Language:English
Series:Asset analytics
Asset analytics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13397455
Hidden Bibliographic Details
Other authors / contributors:Deep, Kusum, editor.
Jain, Madhu, 1959- editor.
Salhi, Said, editor.
ISBN:9789811308574
9811308578
9789811308567
981130856X
9789811308581
9811308586
9789811345197
9811345198
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (Ebsco, viewed August 29, 2018).
Summary: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.
Other form:Original 981130856X 9789811308567
Standard no.:10.1007/978-981-13-0857-4

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