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A Model for Quantifying Impacts of Supply Chain Cost and Working Capital on the Company Value

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Advanced Manufacturing and Sustainable Logistics (IHNS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 46))

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Abstract

Supply Chain Management (SCM) is identified and accepted as a competitive advantage. Nevertheless holistic approaches for value-based SCM to leverage this advantage in a value adding way are missing so far. Efficient approaches to quantify and compare value contributions from Supply Chain (SC) value drivers are needed. This paper contributes to this need by proposing a model to efficiently quantify and compare value contributions from SC cost and working capital, that affect the profitability and asset performance. Properties and characteristics of the model, which is based on the Discounted Cash Flow concept, are illustrated by an industrial example of a single company. In this example, the relevance of timing and continuity of developments of SC cost and working capital for value creation is pointed out.

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Author information

Authors and Affiliations

  1. Department of International Management, Faculty of Organic Agricultural Sciences, University of Kassel, 37213, Witzenhausen, Germany

    Marcus Brandenburg & Stefan Seuring

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  1. Marcus Brandenburg
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  2. Stefan Seuring
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Editors and Affiliations

  1. Heinz Nixdorf Institut, Universität Paderborn, Fürstenallee 11, 33102, Paderborn, Germany

    Wilhelm Dangelmaier , Alexander Blecken , Robin Delius  & Stefan Klöpfer , ,  & 

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Brandenburg, M., Seuring, S. (2010). A Model for Quantifying Impacts of Supply Chain Cost and Working Capital on the Company Value. In: Dangelmaier, W., Blecken, A., Delius, R., Klöpfer, S. (eds) Advanced Manufacturing and Sustainable Logistics. IHNS 2010. Lecture Notes in Business Information Processing, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12494-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-12494-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12461-7

  • Online ISBN: 978-3-642-12494-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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