Purpose — to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach — literature study and a case study in dairy industry, based on in-depth expert interviews. Findings — four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications — the proposed multiple CODP models provide the basic setup of a reference-process model for demand-driven chain networks, and should further be developed into a formalized model that incorporates detailed implementation knowledge of different industries. Practical implications — the research contributes to making the generic CODP concept suitable for process design of demand-driven chain networks. Originality/value — the paper adds to existing research on CODPs by addressing the main underlying factors of CODP diversity. Based on these dimensions, basic process models of demand-driven chain networks are proposed and applied in dairy industry.
Chapter PDF
Similar content being viewed by others
Keywords
References
Aitken, J., P. Childerhouse, M. Christopher and D. Towill, 2005. Designing and Managing Multiple Pipelines. Journal of Business Logistics. 26, 2, 73–95.
Christopher, M. and D. Towill, 2001. An integrated model for the design of agile supply chains. International Journal of Physical Distribution & Logistics Management. 31, 4, 235–247.
Giesberts, P. M. J. and L. v. d. Tang, 1992. Dynamics of the customer order decoupling point: impact on information systems for production control. Production Planning & Control. 3, 3, 300–313.
Hoekstra, S. J. and J. M. Romme, 1992. Integral Logistic Structures: Developing Customer-oriented Goods Flow. McGraw Hill, London.
Holweg, M., 2005. The three dimensions of responsiveness. International Journal of Operations & Production Management. 25, 7, 603–622.
Lambert, D. M. and M. C. Cooper, 2000. Issues in supply chain management. Industrial Marketing Management. 29, 1, 65–83.
Mather, H., 1988. Competitive Manufacturing. Prentice-Hall, Englewood Cliffs, NJ.
Naylor, B., M. M. Naim and D. Berry, 1999. Leagility: interfacing the lean and agile manufacturing paradigm in the total supply chain. International Journal of Production Economics. 62, 107–118.
Olhager, J., 2003. Strategic positioning of the order penetration point. International Journal of Production Economics. 85, 3, 319.
Silvis, H. and K. de Bont, 2006. Prospects for the agricultural sector in The Netherlands. The Hague, Ministry of Agriculture, Nature and Food Quality.
Trienekens, J. H., 1999. Management of processes in chains: A research framework, PHD-thesis, Wageningen University.
Van der Vorst, J., A. Beulens and P. v. Beek, 2005. Innovations in Logistics and ICT in Food Supply Chain Networks. In: Innovations in agri-food systems: Product quality and consumer acceptance. W. M. F. Jongen and M. T. G. Meulenberg. Wageningen Academic Publishers.
Van der Vorst, J. G. A. J., 2000. Effective Food Supply Chains: Generating, modelling and evaluating supply chain scenarios. PHD-thesis, Wageningen University.
Van Donk, D. P., 2001. Make to stock or make to order: The decoupling point in the food processing industries. International Journal of Production Economics. 69, 3, 297–306.
Wikner, J. and M. Rudberg, 2005. Introducing a customer order decoupling zone in logistics decision-making. International Journal of Logistics. 8, 3, 211–224.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 International Federation for Information Processing
About this paper
Cite this paper
Verdouw, C.N., Beulens, A.J.M., Bouwmeester, D., Trienekens, J.H. (2008). Modelling Demand-driven Chain Networks using Multiple CODPs. In: Koch, T. (eds) Lean Business Systems and Beyond. IFIP – The International Federation for Information Processing, vol 257. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77249-3_45
Download citation
DOI: https://doi.org/10.1007/978-0-387-77249-3_45
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-77248-6
Online ISBN: 978-0-387-77249-3
eBook Packages: Computer ScienceComputer Science (R0)