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Autor(en): 
  • Anna Nagurney
  • Min Yu
  • Amir H. Masoumi
  • Ladimer S. Nagurney
  • Networks Against Time: Supply Chain Analytics for Perishable Products 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2013  
    Genre:  Schulbücher 
     
    C / game theory / Game Theory, Economics, Social and Behav. Sciences / Management & management techniques / Management science / Mathematical Modeling and Industrial Mathematics / Mathematical modelling / Mathematical models
    ISBN:  9781461462767 
    EAN-Code: 
    9781461462767 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Optimization  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  2409 gr 
    Seiten:  142 
    Illustration:  IX, 142 p. 25 illus., 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:
    Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges.  The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.
      



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