Deep Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

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Theory and Applications

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Beschreibung

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.



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. 


Presents the latest fuzzy logic analytics Discusses recent developments in and analytics for queuing and reliability modeling Focuses on optimal strategies and performance prediction for queuing systems

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Kusum Deep

Themen in »Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models«

Fuzzy Logic and Applications Performance Modeling of Online Shoping and Communication System Queuing Models and Optimal Control Design Reliability Models and Repairable Fault Tolerant System Software Reliability Model with Imperfect Debuging Transient Models for Markovian Queue with Discouragement quality control, reliability, safety and risk

Stimmen zu »Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models«

Details

ISBN: 9789811308574
Verlag: Springer Singapore
Erscheinung: 26.08.2018

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