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Conclusion

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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 concludes the thesis at hand. In the first section of this chapter, the findings of this dissertation are summarized to give answers to the three research questions of this thesis. The second section of this chapter comprises a thorough discussion of research design and results to position this dissertation to related scientific literature. This discussion links the presented research into previous research in the field as outlined in the Chaps. 2–4. The last section of this chapter outlines limitations and future prospects for scientific research on value-based SCM.

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Notes

  1. 1.

    RQ1: How are value contributions of SCM quantified in such a way that profitability-related changes of sales or SC cost and capital-related changes of fixed assets or working capital are financially comparable? RQ2: Which criteria and influencing factors are relevant for value creation? RQ3: How are financial performance figures to measure company value brought into context with tactical and operational SCM activities? See Sect. 3.1.

  2. 2.

    RQ1: How are value contributions of SCM quantified in such a way that profitability-related changes of sales or SC cost and capital-related changes of fixed assets or working capital are financially comparable? See Sect. 3.1.

  3. 3.

    RQ2: Which criteria and influencing factors are relevant for value creation? See Sect. 3.1.

  4. 4.

    RQ3: How are financial performance figures to measure company value brought into context with tactical and operational SCM activities? See Sect. 3.1.

References

  • Beamon, B.M. 1998. Supply chain design and analysis: Models and methods. International Journal of Production Economics 55(3): 281–294.

    Article  Google Scholar 

  • Berning, G., M. Brandenburg, K. Gürsoy, V. Mehta, and F.-J. Tölle. 2002. An integrated system solution for supply chain optimization in the chemical process industry. OR Spectrum 24(4): 371–401.

    Article  Google Scholar 

  • Blackhurst, J., T. Wu, and P. O’Grady. 2004. Network-based approach to modelling uncertainty in a supply chain. International Journal of Production Research 42(8): 1639–1658.

    Article  Google Scholar 

  • Brandenburg, M., and T. Menke. 2008. Quantifizierung von Wertbeiträgen aus Änderungen von Supply Chain Kosten und Working Capital. (Quantification of value contributions resulting from changes of supply chain cost and working capital). Zeitschrift für Controlling and Management 52(3): 168–174.

    Google Scholar 

  • Brandenburg, M., and F.-J. Tölle. 2009. MILP-based campaign scheduling in a specialty chemicals plant: A case study. OR Spectrum 31(1): 141–166.

    Article  Google Scholar 

  • Capkun, V., A.P. Hameri, and L.A. Weiss. 2009. On the relationship between inventory and financial performance in manufacturing companies. International Journal of Operations and Production Management 29(8): 789–806.

    Article  Google Scholar 

  • Chopra, S., and P. Meindl. 2007. Supply chain management – Strategy, planning and operations, 3rd ed. Upper Saddle River: Prentice Hall.

    Google Scholar 

  • Christopher, M. 2005. Logistics and supply chain management – Creating value-adding networks, 3rd ed. Harlow: Prentice Hall.

    Google Scholar 

  • Christopher, M., and L. Ryals. 1999. Supply chain strategy: Its impact on shareholder value. International Journal of Logistics Management 10(1): 1–10.

    Article  Google Scholar 

  • Corsten, D., and T. Gruen. 2003. Desperately seeking shelf availability: An examination of the extent, the causes, and the efforts to address retail out-of-stocks. International Journal of Retail and Distribution Management 31(12): 605–617.

    Article  Google Scholar 

  • Damodaran, A. 2011a. Applied corporate finance, 3rd ed. Hoboken: Wiley.

    Google Scholar 

  • Datta, P.P., and M.G. Christopher. 2011. Information sharing and coordination mechanisms for managing uncertainty in supply chains: A simulation study. International Journal of Production Research 49(3): 765–803.

    Article  Google Scholar 

  • Farris II, M.T., and P.D. Hutchison. 2002. Cash-to-cash: The new supply chain management metric. International Journal of Physical Distribution and Logistics Management 32(4): 288–298.

    Article  Google Scholar 

  • Farris II, M.T., and P.D. Hutchison. 2003. Measuring cash-to-cash performance. International Journal of Logistics Management 14(2): 83–91.

    Article  Google Scholar 

  • Fisher, M., J. Hammond, W. Obermeyer, and A. Raman. 1997. Configuring a supply chain to reduce the cost of demand uncertainty. Production and Operations Management 6(3): 211–225.

    Article  Google Scholar 

  • Gilmour, Peter. 1999. Benchmarking supply chain operations. International Journal of Physical Distribution and Logistics Management 5(4): 259–266.

    Google Scholar 

  • Gimenez, C. 2005. Case studies and surveys in supply chain management research – Two complementary methodologies. In Research methodologies in supply chain management, ed. H. Kotzab, S. Seuring, M. Müller, and G. Reiner, 315–330. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Golicic, S.L., D.F. Davis, and T.M. McCarthy. 2005. A balanced approach to research in supply chain management. In Research methodologies in supply chain management, ed. H. Kotzab, S. Seuring, M. Müller, and G. Reiner, 15–30. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Hahn, G.J., and H. Kuhn. 2010. Optimising a value-based performance indicator in mid-term sales and operations planning. Journal of the Operational Research Society 62: 515–525.

    Article  Google Scholar 

  • Hahn, G.J., and H. Kuhn. 2011. Value-based performance and risk management in supply chains: A robust optimization approach. International Journal of Production Economics. doi:10.1016/j.ijpe.2011.04.002.

    Google Scholar 

  • Hendricks, K., and V. Singhal. 2003. The effect of supply chain glitches on shareholder wealth. Journal of Operations Management 21: 501–522.

    Article  Google Scholar 

  • Hendricks, K., and V. Singhal. 2005b. An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management 14(1): 35–52.

    Article  Google Scholar 

  • Hendricks, K., and V. Singhal. 2008. The effect of supply chain disruptions on shareholder value. Total Quality Management 19(7–8): 777–791.

    Google Scholar 

  • Hendricks, K., and V. Singhal. 2009. Demand-supply mismatches and stock market reaction: Evidence from excess inventory announcements. Manufacturing and Service Operations Management 11(3): 509–524.

    Article  Google Scholar 

  • Hofmann, Erik, and Herbert Kotzab. 2006. Developing and discussing a supply chain-oriented model of collaborative working capital management. In Track 11 “Globalization in the Value Chain”: IFSAM, 2006, 1–30. Berlin: IFSAM.

    Google Scholar 

  • Hofmann, Erik, and Herbert Kotzab. 2010. A supply chain-oriented approach of working capital management. Journal of Business Logistics 31(2): 305–330.

    Article  Google Scholar 

  • Hofmann, E., and A. Locker. 2009. Value-based performance measurement in supply chain: A case study from the packaging industry. Production Planning and Control 20(1): 68–81.

    Article  Google Scholar 

  • Hübner, R. 2007. Strategic supply chain management in process industries: An application to specialty chemicals production network design. Heidelberg: Springer.

    Google Scholar 

  • Johnson, M., and S. Templar. 2011. The relationships between supply chain and firm performance: The development and testing of a unified proxy. The International Journal of Physical Distribution and Logistics Management 41(2): 88–103.

    Article  Google Scholar 

  • Kannegiesser, M., H.-O. Günther, P. van Beek, M. Grunow, and C. Habla. 2009. Value chain management for commodities: A case study from the chemical industry. In Supply chain planning – Quantitative decision support and advanced planning solutions, ed. H.O. Günter and H. Meyr, 283–313. Berlin/Heidelberg/New York: Springer.

    Google Scholar 

  • Kotzab, H. 2005. The role and importance of survey research in the field of supply chain management. In Research methodologies in supply chain management, ed. H. Kotzab, S.Seuring, M. Müller, and G. Reiner, 125–138. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Labitzke, N., T.S. Spengler, and T. Volling. 2009. Applying decision-oriented accounting principles for the simulation-based design of logistics systems in production. In Proceedings of the 2009 winter simulation conference, ed. M. Rossetti, R. Hill, B. Johansson, A. Dunkin, and R.G. Ingalls, 2496–2508. Austin: Omnipress.

    Chapter  Google Scholar 

  • Labitzke, N., T. Volling, and T.S. Spengler. 2011. Wertorientierte simulation zur unterstützung der logistischen prozessgestaltung bei der stahlherstellung (Value-based simulation to support logistics process design in steel production). Zeitschrift für Betriebswirtschaft (Journal of Business Economics) 81(7–8): 771–803.

    Article  Google Scholar 

  • Lambert, D., and R. Burduroglu. 2000. Measuring and selling the value of logistics. International Journal of Logistics Management 11(1): 1–17.

    Article  Google Scholar 

  • Lambert, D., and T. Pohlen. 2001. Supply chain metrics. International Journal of Logistics Management 12(1): 1–19.

    Article  Google Scholar 

  • Lasch, R., A. Lemke, and T. Schindler. 2006. Der Beitrag der Logistik zur wertorientierten Unternehmensführung (The contribution of logistics to value-based management). In Wertorientiertes Management (Value-based management), ed. N. Schweickart and A. Töpfer, 271–300. Berlin: Springer.

    Google Scholar 

  • Lee, H.L. 2002. Aligning supply chain strategies with product uncertainties. California Management Review 44(3): 105–119.

    Article  Google Scholar 

  • Lee, H., V. Padmanabhan, and S. Whang. 1997a. The bullwhip effect in supply chains. Sloan Management Review 38(3): 93–102.

    Google Scholar 

  • Losbichler, H., and M. Rothböck. 2006. Creating shareholder value through value-driven supply chain management. In Managing risks in supply chains – How to build reliable collaboration in logistics, ed. W. Kersten and T. Blecker, 281–296. Berlin: Erich Schmidt Verlag.

    Google Scholar 

  • Meixell, M.J., and V.B. Gargeya. 2005. Global supply chain design: A literature review and critique. Transportation Research Part E 41: 531–550.

    Article  Google Scholar 

  • Melo, M.T., S. Nickel, and F. Saldanha-da Gama. 2009. Facility location and supply chain management – A review. European Journal of Operational Research 196: 401–412.

    Article  Google Scholar 

  • Möller, K. 2003. Supply Chain Valuation – Wertschöpfung in und durch Supply Chain Networks (Supply chain value – value creation in an by supply chain networks). In Supply chain controlling in theorie und praxis (Supply chain management accounting in theory and practice), ed. W. Stölzle and A. Otto, 49–82. Wiesbaden: Gabler.

    Chapter  Google Scholar 

  • Neher, A. 2003. Wertorientierung im Supply Chain Controlling (Value orientation in supply chain management accounting). In Supply chain controlling in theorie und praxis (Supply chain management accounting in theory and practice), ed. W. Stölzle and A. Otto, 27–47. Wiesbaden: Gabler.

    Chapter  Google Scholar 

  • Obermaier, R., and A. Donhauser. 2009. Disaggregate and aggregate inventory to sales ratios over time: The case of german corporations 1993–2005. Logistics Research 1: 95–111.

    Article  Google Scholar 

  • Otto, A., and R. Obermaier. 2009. How can supply networks increase firm value? A causal framework to structure the answer. Logistics Research 1: 131–148.

    Article  Google Scholar 

  • Padachi, Kesseven. 2006. Trend in working capital management and its impact on firms’ performance: An analysis of mauritian small manufacturing companies. International Review of Business Research Papers 2(2): 45–58.

    Google Scholar 

  • Pero, M., and A. Sianesi. 2009. Aligning supply chain management and new product development: A theoretical framework. International Journal of Electronic Customer Relationship Management 3(3): 301–317.

    Article  Google Scholar 

  • Pero, M., N. Abdelkafi, A. Sianesi, and T. Blecker. 2010. A framework for the alignment of new product development and supply chains. Supply Chain Management: An International Journal 15(2): 115–128.

    Article  Google Scholar 

  • Petrovic, D. 2001. Simulation of supply chain behaviour and performance in an uncertain environment. International Journal of Production Economics 71: 429–438.

    Article  Google Scholar 

  • Randall, W., and M. Farris II. 2009a. Supply chain financing: Using cash-to-cash variables to strengthen the supply chain. International Journal of Physical Distribution and Logistics Management 39(8): 669–689.

    Google Scholar 

  • Randall, W., and M. Farris II. 2009b. Utilizing cash-to-cash to benchmark company performance. Benchmarking: An International Journal 16(4): 449–461.

    Google Scholar 

  • Rappaport, A. 1998. Creating shareholder value. New York: The Free Press.

    Google Scholar 

  • Reiner, G., and P. Hofmann. 2006. Efficiency analysis of supply chain processes. International Journal of Production Research 44(23): 5065–5087.

    Article  Google Scholar 

  • Schilling, R., H. Kuhn, and M. Brandenburg. 2010. Simulation-based evaluation of tactical supply chain design scenarios for new product introduction. In Proceedings of the 17th international annual EurOMA conference, ed. R. Sousa. Porto: Catholic University of Portugal.

    Google Scholar 

  • Seuring, S. 2005. Case study research in supply chains – An outline and three examples. In Research methodologies in supply chain management, ed. H. Kotzab, S. Seuring, M. Müller, and G. Reiner, 235–250. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Seuring, S. 2008. Assessing the rigor of case study research in supply chain management. Supply Chain Management: An International Journal 13(2): 128–137.

    Article  Google Scholar 

  • Seuring, S. 2009. The product-relationship-matrix as framework for strategic supply chain design based on operations theory. International Journal of Production Economics 120(1): 221–232.

    Article  Google Scholar 

  • Shapiro, J. 2007. Modeling the supply chain, 2nd ed. Duxbury. Brooks/Cole: Thompson.

    Google Scholar 

  • Srivastava, R.K., A.S. Tasadduq, and L. Fahey. 1998. Market-based assets and shareholder value: A framework for analysis. Journal of Marketing 62: 2–18.

    Article  Google Scholar 

  • Stock, J.R., and S.L. Boyer. 2009. Developing a consensus definition of supply chain management: A qualitative study. International Journal of Physical Distribution and Logistics Management 39(8): 690–711.

    Article  Google Scholar 

  • Vickery, S.K., J. Jayaram, C. Droge, and R. Calatone. 2003. The effects of an integrative supply chain strategy on customer service and financial performance: An analysis of direct versus indirect relationships. Journal of Operations Management 21(5): 523–539.

    Article  Google Scholar 

  • Wallenburg, C.M., and J. Weber. 2005. Structural equation modeling as a basis for theory development within logistics and supply chain management research. In Research methodologies in supply chain management, ed. H. Kotzab, S. Seuring, M. Müller, and G. Reiner, 171–186. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Walters, D. 1999. The implications of shareholder value planning and management for logistics decision making. International Journal of Physical Distribution and Logistics Management 29(4): 240–258.

    Article  Google Scholar 

  • Wong, W.P., and K.Y. Wong. 2008. A review on benchmarking of supply chain performance measures. Benchmarking: An International Journal 15(1): 25–51.

    Article  Google Scholar 

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Authors and Affiliations

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

    Dipl. Math. Marcus Brandenburg

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  1. Dipl. Math. Marcus Brandenburg
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Brandenburg, M. (2013). Conclusion. 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_11

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