Networks Against Time

Supply Chain Analytics for Perishable Products

  • Anna Nagurney
  • Min Yu
  • Amir H. Masoumi
  • Ladimer S. Nagurney

Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Introduction and Scope

    1. Front Matter
      Pages 1-1
    2. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 3-8
  3. Supply Chain Network Optimization Models and Applications

    1. Front Matter
      Pages 9-9
    2. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 11-36
    3. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 37-62
  4. Supply Chain Network Game Theory Models and Applications

    1. Front Matter
      Pages 63-63
    2. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 65-88
    3. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 89-116
    4. Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney
      Pages 117-139
  5. Back Matter
    Pages 141-142

About this book

Introduction

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.​​

Keywords

fashion supply chains food supply chains healthcare supply chains perishable products pharmaceutical supply chains supply chain networks

Authors and affiliations

  • Anna Nagurney
    • 1
  • Min Yu
    • 2
  • Amir H. Masoumi
    • 3
  • Ladimer S. Nagurney
    • 4
  1. 1.Isenberg School of Management, Finance and Operations ManagementUniversity of MassachusettsAmherstUSA
  2. 2., Pamplin School of BusinessUniversity of PortlandPortlandUSA
  3. 3., Finance and Operations ManagementUniversity of Massachusetts AmherstAmherstUSA
  4. 4., Electrical and Computer EngineeringUniversity of HartfordWest HartfordUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6277-4
  • Copyright Information Anna Nagurney, Min Yu, Amir H. Masoumi, Ladimer S. Nagurney 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-6276-7
  • Online ISBN 978-1-4614-6277-4
  • Series Print ISSN 2190-8354
  • Series Online ISSN 2191-575X
  • About this book
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