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Autor(en): 
  • Nick T. Thomopoulos
  • Fundamentals of Queuing Systems: Statistical Methods for Analyzing Queuing Models 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  April 2014  
    Genre:  Schulbücher 
     
    B / Decision Making / Economics, finance, business & management / Management & management techniques / Management decision making / Management science / Mathematics and Statistics / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research, Management Science / Operations Research/Decision Theory / Statistics
    ISBN:  9781489992031 
    EAN-Code: 
    9781489992031 
    Verlag:  Springer New York 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 12 mm 
    Gewicht:  312 gr 
    Seiten:  200 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Waiting in lines is a staple of everyday human life.  Without really noticing, we are doing it when we go to buy a ticket at a movie theater, stop at a bank to make an account withdrawal, or proceed to checkout a purchase from one of our favorite department stores.  Oftentimes, waiting lines are due to overcrowded, overfilling, or congestion; any time there is more customer demand for a service than can be provided, a waiting line forms.  Queuing systems is a term used to describe the methods and techniques most ideal for measuring the probability and statistics of a wide variety of waiting line models.  This book provides an introduction to basic queuing systems, such as M/M/1 and its variants, as well as newer concepts like systems with priorities, networks of queues, and general service policies.  Numerical examples are presented to guide readers into thinking about practical real-world applications, and students and researchers will be able to apply the methods learned to designing queuing systems that extend beyond the classroom.  Very little has been published in the area of queuing systems, and this volume will appeal to graduate-level students, researchers, and practitioners in the areas of management science, applied mathematics, engineering, computer science, and statistics.  

      
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