Skip to main content

Value Impacts of Dynamics and Uncertainties in Tactical Supply Chain Design

  • Chapter
  • First Online:
Quantitative Models for Value-Based Supply Chain Management

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

  • 2176 Accesses

Abstract

Highly competitive consumer markets resulting in growing product launch rates amplify the relevance of tactical supply chain design (TSCD) for new product introduction (NPI). The complexity of TSCD decisions is enhanced by dynamics and uncertainties in supply chains. Beyond this, increasing profitability expectations of capital markets lead to the question how dynamic and uncertain TSCD options for NPI can be assessed regarding their value impacts. This paper proposes a hybrid value- and volume-based evaluation and quantification approach, in which a discrete event simulation model is combined with the discounted cash flow method. The suggested approach is illustrated based on a realistic case example from the fast moving consumer goods industry.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Adebanjo, D., and R. Mann. 2000. Identifying problems in forecasting consumer demand in the fast moving consumer goods sector. Benchmarking: An International Journal 7(3): 223–230.

    Article  Google Scholar 

  • Ayag, Z. 2005. An integrated approach to evaluating conceptual design alternatives in a new product development environment. International Journal of Production Research 43(4): 687–713.

    Article  Google Scholar 

  • Billington, C.A., and T.C. Davis. 1992. Manufacturing strategy analysis: Models and practice. Omega 20(5–6): 587–595.

    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 S. Seuring. 2010a. The influence of supply chain cost and working capital on company value: Benchmarking companies from the fast moving consumer goods industry. Logistics Research 3(4): 233–248.

    Article  Google Scholar 

  • Brandenburg, M., and S. Seuring. 2010b. A model for quantifying impacts of supply chain cost and working capital on the company value. Lecture Notes in Business Information Processing 46: 107–117.

    Article  Google Scholar 

  • Brandenburg, M., and S. Seuring. 2010c. Value-based strategic supply chain planning. In Pioneering solutions in supply chain management – A comprehensive insight into current management approaches, Operations and technology management, vol. 14, W. Kersten, T. Blecker, and C. Lüthje, 185–196. Berlin: Erich Schmidt Verlag.

    Google Scholar 

  • Brealey, R.A., S.C. Myers, and F.Allen. 2008. Principles of corporate finance, 9th ed. Boston/Irwin: McGraw-Hill.

    Google Scholar 

  • Butler, R., J. Ammons, and J. Sokol. 2006. Planning the supply chain network for new products: A case study. Engineering Management Journal 18(2): 35–43.

    Google Scholar 

  • Caridi, M., M. Pero, and A. Sianesi. 2009. The impact of NPD projects on supply chain complexity: An empirical research. International Journal of Design Engineering 2(4): 380–397.

    Article  Google Scholar 

  • Chang, Y., and H. Makatsoris. 2001. Supply chain modeling using simulation. International Journal of Simulation 2(1): 24–30.

    Google Scholar 

  • Chauhan, S., R. Nagi, and J.-M. Proth. 2004. Strategic capacity planning in supply chain design for a new market opportunity. International Journal of Production Research 42(11): 2197–2206.

    Article  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 

  • Cooper, M.C., D.M. Lambert, and J.D. Pagh. 1997. Supply chain management – More than a new name for logistics. International Journal of Logistics Management 8(1): 1–14.

    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 

  • Goetschalckx, M., and B. Fleischmann. 2008. Strategic network design. In Supply chain management and advanced planning, 4th ed, ed. H. Stadtler and C. Kilger, 117–132. Berlin: Springer.

    Chapter  Google Scholar 

  • Graves, S., and S. Willems. 2005. Optimizing the supply chain configuration for new products. Management Science 51(8): 1165–1180.

    Article  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 

  • Higuchi, T., and M. Troutt. 2004. Dynamic simulation of the supply chain for a short life cycle product-lessons from the Tamagotchi case. Computers and Operations Research 31(7): 1097–1114.

    Article  Google Scholar 

  • Kelton, W., R. Sadowski, and D. Sadowski. 2002. Simulation with arena, 2nd ed. New York: McGraw-Hill.

    Google Scholar 

  • Kleijnen, P. 2005. Supply chain simulation tools and techniques: A survey. International Journal of Simulation and Process Modelling 1(1/2): 82–89.

    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 

  • Manuj, I., J. Mentzer, and M. Bowers. 2009. Improving the rigor of discrete-event simulation in logistics and supply chain management. International Journal of Physical Distribution and Logistics Management 39(3): 172–201.

    Article  Google Scholar 

  • Marquai, A., R. Alcantara, and M. Christopher. 2010. Using the systematic literature review procedure to identify the root causes of out-of-stock in retail supply chains. In Proceedings of the 17th international annual EurOMA conference, ed. R. Sousa. Porto: Catholic University of Portugal.

    Google Scholar 

  • Melnyk, S., R. Lummus, R. Vokurka, L. Burns, and J. Sandor. 2009. Mapping the future of supply chain management: A delphi study. International Journal of Production Research 47(16): 4629–4653.

    Article  Google Scholar 

  • Mentzer, J., W. DeWitt, J. Keebler, S. Min, N. Nix, C. Smith, and Z. Zacharia. 2001. Defining supply chain management. Journal of Business Logistics 22(2): 1–25.

    Article  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 

  • Pourakbar, M., A. Sleptchenko, and R. Dekker. 2009. The floating stock policy in fast moving consumer goods supply chains, Transportation Research Part E 45(1): 39–49.

    Article  Google Scholar 

  • Reiner, G. 2005. Supply chain management research methodologies using quantitative models based on empirical data. In Research methodologies in supply chain management, ed. H. Kotzab, S. Seuring, M. Müller, and G. Reiner, 431–444. Heidelberg: Physica.

    Chapter  Google Scholar 

  • Rockwell Automation, ed. 2007. ArenaTM user’s guide, http://literature.rockwellautomation.com/idc/groups/literature/documents/um/arena-um001_-en-p.pdf. Accessed 7 Sep 2010.

  • Saad, S., and N. Gindy. 1998. Handling internal and external disturbances in responsive manufacturing environment. Production Planning and Control 9(8): 760–770.

    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., and M. Goldbach. 2001. Cost management in supply chains. Heidelberg/New York: Physica.

    Google Scholar 

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

    Google Scholar 

  • Silver, E., D. Pyke, and R. Peterson. 1998. Inventory management and production planning and scheduling, 3rd ed. New York: Wiley.

    Google Scholar 

  • Simchi-Levi, D., X. Chen, and J. Bramel, eds. 2005. The logic of logistics: Theory, algorithms and applications for logistics and supply chain management, 2nd ed. Heidelberg: Springer.

    Google Scholar 

  • van Hoek, R.I., and P. Chapman. 2006. From tinkering around the edge to enhancing revenue growth: Supply chain-new product development. Supply Chain management: An International Journal 11(5): 385–389.

    Article  Google Scholar 

  • Villegas, F., and N. Smith. 2006. Supply chain dynamics: Analysis of inventory vs. order oscillations trade-off. International Journal of Production Research 44(6): 1037–1054.

    Google Scholar 

  • Wang, J., and Y.-F. Shu. 2007. A possibilistic decision model for new product supply chain design. European Journal of Operational Research 177(2): 1044–1061.

    Article  Google Scholar 

  • Wilding, R. 1998. The supply chain complexity triangle: Uncertainty generation in the supply chain. International Journal of Physical Distribution and Logistics Management 28(8): 599–616.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Brandenburg, M. (2013). Value Impacts of Dynamics and Uncertainties in Tactical Supply Chain Design. 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_9

Download citation

Publish with us

Policies and ethics