Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models: Theory and Applications 2019 Edition Contributor(s): Deep, Kusum (Editor), Jain, Madhu (Editor), Salhi, Said (Editor) |
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ISBN: 981130856X ISBN-13: 9789811308567 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: September 2018 |
Additional Information |
BISAC Categories: - Business & Economics | Industries - Computers & Information Technology - Business & Economics | Operations Research - Technology & Engineering | Quality Control |
Dewey: 658.403 |
Series: Asset Analytics |
Physical Information: 0.69" H x 6.14" W x 9.21" (1.29 lbs) 282 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |