Quantitative Models for Value-Based Supply Chain Management

  • Marcus Brandenburg

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 660)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Marcus Brandenburg
    Pages 1-5
  3. Marcus Brandenburg
    Pages 7-49
  4. Marcus Brandenburg
    Pages 51-63
  5. Marcus Brandenburg
    Pages 109-119
  6. Marcus Brandenburg
    Pages 155-176
  7. Marcus Brandenburg
    Pages 177-185
  8. Marcus Brandenburg
    Pages 187-200
  9. Back Matter
    Pages 201-219

About this book


​​​​​​​Supply chain management (SCM) strives for creating competitive advantage and value for customers by integrating business processes from end users through original suppliers.  However, the question of how SCM influences the value of a firm is not fully answered. Various conceptual frameworks that explain the coherence of SCM and company value, comprehended as value-based SCM, are well accepted in scientific research, but quantitative approaches to value-based SCM are found rather seldom. The book contributes to this research gap by proposing quantitative models that allow for assessing influences of SCM on the value of a firm. Opposed to existing models that limit the observation to chosen facets of SCM or selected value drivers, this holistic approach is adequate to • reflect configurational and operational aspects of SCM,  • cover all phases of the product life cycle, • financially compare value impacts of profitability-related and asset-related value drivers, and • assess influences of dynamics and uncertainties on company value.​


Company Value Discounted Cash Flow Industrial Case Examples Model Based Quantitative Research Supply Chain Management

Authors and affiliations

  • Marcus Brandenburg
    • 1
  1. 1.Chair of Supply Chain ManagementUniversity of KasselKasselGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-31303-5
  • Online ISBN 978-3-642-31304-2
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site
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