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Terminology and Related Literature

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Quantitative Models for Value-Based Supply Chain Management

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

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Abstract

This chapter provides the terminological basis for the research of the thesis at hand and a review of related literature. The first section, which deals with value-based management (VBM), outlines what is comprehended by the term “value”, how it can be measured and what factors influence company value. This section ends with a discussion of empirical aspects of VBM. The second section comprises a comprehensive introduction of supply chain management (SCM). After terminological aspects and characteristics of SCM are discussed, special focus is put on types of flows through supply chains (SC). Furthermore constituents and components, relationships and benefits of SCM are explained and an SCM framework is outlined to position the research of this thesis. Under consideration of the empirical and case-related parts of this dissertation (Chaps. 6, 8 and 9), SC dynamics and uncertainties as well as SCM in the fast moving consumer goods (FMCG) industry are thoroughly discussed. The last section of this chapter is related to value-based SCM. Finanical impacts of SCM, driven by sales, cost and capital, are outlined. Beyond this, 20 selected manuscripts are reviewed to illustrate the broadness of this field of research, its current status and recent developments.

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Notes

  1. 1.

    Not particularly named market-listed holding companies.

  2. 2.

    Bayer AG, Beiersdorf AG, Bosch Siemens Haushaltsgeräte GmbH, Deutsche Lufthansa AG, Deutsche Post AG, Deutsche Telekom AG.

  3. 3.

    Akzo Nobel N. V., Heimans N. V., Schiphol Group N. V.

  4. 4.

    Altana AG, BMW Group, DaimlerChrysler AG, Deutsche Bank AG, Heidelberger Druckmaschinen AG, Metro AG, SAP AG, Stinnes AG, ThyssenKrupp AG.

  5. 5.

    Beiersdorf AG, Colgate-Palmolive Company, Henkel KGaA, The Procter & Gamble Company, Reckitt-Benckiser Group plc, The Unilever Group.

  6. 6.

    Apparel industry, chemical industry, packaging industry, technology industry.

  7. 7.

    Salzgitter Flachstahl GmbH.

  8. 8.

    These industries comprise automotive, bioengineering systems, furniture, household appliances, mechanical components, photo, power systems and tooling machines.

  9. 9.

    Apparel industry, engine industry, weapon industry.

  10. 10.

    BASF AG, Ford Werke AG, Hewlett-Packard CSDE, Sara Lee Household & Body Care.

  11. 11.

    Apparel industry, automotive industry, computer industry, electronics industry, food industry, semiconductor industry, steel industry.

  12. 12.

    The Procter & Gamble Company and Wal-Mart Stores, Inc., mentioned in particular.

  13. 13.

    K-Mart Corp. and Kimberly-Clark Co., Nabisco and Wegmans Food Markets, Inc., Wal-Mart Stores, Inc. and Warner-Lambert Co.

  14. 14.

    Campbell Soup Company.

  15. 15.

    M Company and The Procter & Gamble Company and furthermore Hewlett-Packard Company.

  16. 16.

    Bandai Co., Ltd.

  17. 17.

    The Procter & Gamble Company.

  18. 18.

    Reckitt Benckiser Group plc.

  19. 19.

    Campina Melkunie B. V.

  20. 20.

    The Unilever Group and its tea suppliers in Kenya, Indonesia and Sri Lanka.

  21. 21.

    Dell Inc., The Procter & Gamble Company.

  22. 22.

    Business service industry, electronics service industry, semiconductor industry

  23. 23.

    The Procter & Gamble Company.

  24. 24.

    Schwarzkopf and Henkel Production Europe GmbH & Co. KG.

  25. 25.

    Nutricia Dairy & Drinks Group.

  26. 26.

    BHS Ltd., Cisco Systems Inc., Compaq Computer Corporation, Hewlett-Packard Company, Nissan Motor Co. Ltd., Nokia Corporation, Smart division of Daimler AG, The Procter & Gamble Company.

  27. 27.

    SIG Combiblock

  28. 28.

    In German named “SC Controlling” (Seuring 2006)

  29. 29.

    Dell Inc., Hershey Foods Corp., Nike Inc.

  30. 30.

    Systems from Manugistics Group Inc., SAP AG, Siebel Systems.

  31. 31.

    i2 Technologies.

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  1. Chair of Supply Chain Management, University of Kassel, Kassel, Germany

    Dipl. Math. Marcus Brandenburg

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Brandenburg, M. (2013). Terminology and Related Literature. In: Quantitative Models for Value-Based Supply Chain Management. Lecture Notes in Economics and Mathematical Systems, vol 660. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31304-2_2

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