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Herausgeber: 
  • Madhu Jain
  • Said Salhi
  • Kusum Deep
  • Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models: Theory and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2018  
    Genre:  EDV / Informatik 
     
    B / Big Data / Big Data/Analytics / Business and Management / Decision Making / Industrial and Production Engineering / Industrial safety / IT in Business
    ISBN:  9789811308567 
    EAN-Code: 
    9789811308567 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Asset Analytics  
    Dimensionen:  H 235 mm / B 155 mm / D 21 mm 
    Gewicht:  606 gr 
    Seiten:  282 
    Illustration:  VII, 282 p. 52 illus., 45 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    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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