Supply chain decision making: A system dynamics approach

Authors

  • Andrés Cardona Triana Universidad Icesi, Cali
  • Sebastian López Lasprilla Universidad Icesi, Cali
  • Fernando Antonio Arenas Universidad Icesi, Cali

DOI:

https://doi.org/10.18046/syt.v14i37.2243

Keywords:

System dynamics, modeling, simulation, supply chain, beer game, information sharing.

Abstract

This paper presents an analysis of the impact of delays, information management and type of demand, on the performance of a three echelons supply chain, based on the "beer game". Four scenarios of access to information on final demand for different members of the chain were developed over a system dynamics model. For each of these scenarios delivery delay times and type of demand were changed and four indicators were used to measure the supply chain performance: return on assets, accumulated income, accumulated value of inventory and service level. The results show that the location (echelon) of the access to information is critical to the performance and in contrast to previous studies, this effect is independent of the type of demand. Moreover, the results are consistent with previous studies on the positive effect of the reduction in delays on the overall performance of the chain, regardless of the type of demand.

Author Biographies

  • Andrés Cardona Triana, Universidad Icesi, Cali
    Student of Industrial Engineering at Universidad Icesi (Cali-Colombia). He is part of the Dinámica de Sistemas research group. Presently he investigates about decision making in the supply chain
  • Sebastian López Lasprilla, Universidad Icesi, Cali
    Student of Industrial Engineering at Universidad Icesi (Cali-Colombia). He is part of the Dinámica de Sistemas research group. Presently he investigates about decision making in the supply chain.
  • Fernando Antonio Arenas, Universidad Icesi, Cali
    Professor of System Dynamics at Universidad Icesi (Cali-Colombia). He received a master degree in Environmental Engineering from Universidad Nacional de Colombia (1990). He is a Ph.D., student in Business Administration at Universidad de Valencia (Spain). His current research interest is the study of managerial decision making through simulation and micro-worlds

References

Bowersox, D., Closs, D. J., & Cooper, M. B. (2002). Supply chain logistics management. New York, NY: Irwin McGraw-Hill.

Carranza, O. & Maltz, A. B. (2010). Understanding the financial consequences of the bullwhip effect in a multi-echelon supply chain. Journal of Business Logistics, 31(1), 23-40.

Danese, P. (2006). Collaboration forms, information and communication technologies, and coordination mechanisms in CPFR. International Journal of Production Research, 44(16), 3207-3226.

Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93-102.

Romo, F., Daza, H., & Arenas, F. (2011). Systemic Analysis of service and financial risks in a supply chain. Sistemas & Telemática, 11(25), 105-119.

Sari, K. (2008). On the benefits of CPFR and VMI: A comparative simulation study. International Journal of Production Economics, 113(2), 575-586.

Steckel, J. H., Gupta, S., & Banerji, A. (2004). Supply chain decision making: Will shorter cycle times and shared point-of-sale information necessarily help? Management Science, 50(4), 458-464.

Sterman, J. (2000). Supply chains and the origin of oscillations. In: Business dynamics: systems thinking and modeling for a complex world (pp. 663-708). Boston, MA: McGraw-Hill.

Sterman, J. D. (1989). Modeling managerial behavior: Misperceptions of feedback in a dynamic decision making experiment. Management Science, 35(3), 321-339.

Downloads

Published

2016-08-05

Issue

Section

Discussion papers