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Autor(en): 
  • Jan Ehmke
  • Integration of Information and Optimization Models for Routing in City Logistics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 2014  
    Genre:  Wirtschaft / Recht 
     
    B / Business and Management / Data Mining / Data Mining and Knowledge Discovery / Decision Making / Expert systems / knowledge-based systems / Management decision making / Management science / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory / Political Economy / Regional and Spatial Economics / regional economics / Regional Studies / Regional/Spatial Science / Spatial economics
    ISBN:  9781489998583 
    EAN-Code: 
    9781489998583 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #177 - International Series in Operations Research & Management Science  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  332 gr 
    Seiten:  198 
    Illustration:  XIV, 198 p. 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    ?As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models.

    This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.?

      
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