Main Article Content
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.
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.