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Herausgeber: 
  • Miguel Mujica Mota
  • Idalia Flores de la Mota
  • Applied Simulation and Optimization 2: New Applications in Logistics, Industrial and Aeronautical Practice 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 4 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Genre:  EDV / Informatik 
     
    Applied mathematics / B / Computational Science and Engineering / Computer mathematics / Computer modelling & simulation / computer science / Computer simulation / Engineering mathematics / Industrial and Production Engineering / Industrial Engineering / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematics and Statistics / Maths for engineers / Production engineering / Simulation and Modeling
    ISBN:  9783319857541 
    EAN-Code: 
    9783319857541 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 16 mm 
    Gewicht:  4511 gr 
    Seiten:  282 
    Illustration:  XIV, 282 p. 127 illus., 107 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Building on the author's earlier Applied Simulation and Optimization, this book presents novel methods for solving problems in industry, based on hybrid simulation-optimization approaches that combine the advantages of both paradigms. The book serves as a comprehensive guide to tackling scheduling, routing problems, resource allocations and other issues in industrial environments, the service industry, production processes, or supply chains and aviation. Logistics, manufacturing and operational problems can either be modelled using optimization techniques or approaches based on simulation methodologies. Optimization techniques have the advantage of performing efficiently when the problems are properly defined, but they are often developed through rigid representations that do not include or accurately represent the stochasticity inherent in real systems. Furthermore, important information is lost during the abstraction process to fit each problem into the optimization technique. On the other hand, simulation approaches possess high description levels, but the optimization is generally performed through sampling of all the possible configurations of the system. The methods explored in this book are of use to researchers and practising engineers in fields ranging from supply chains to the aviation industry.

     

      
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