Determining the optimal size of supply base with the consideration of risks of supply disruptions
Determining the optimal size of the supply base has haunted managers for years. A small supply base gives rise to the risk of supply disruption, whereas a large supply base increases the fixed cost. In this paper, we consider the risks of supply disruption due to occurrence of super, semi-super, and unique events in order to formulate a model to determine the optimal size of supply base. We depict the model in a decision tree-like structure and forward a tabular method of solution that obviates the need avoids evaluation of a majority of non-optimal solutions and thus overcomes the problem of dimensionality.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Sedarage, Dayani & Fujiwara, Okitsugu & Trung Luong, Huynh, 1999. "Determining optimal order splitting and reorder level for N-supplier inventory systems," European Journal of Operational Research, Elsevier, vol. 116(2), pages 389-404, July.
- Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
- Yu, Haisheng & Zeng, Amy Z. & Zhao, Lindu, 2009. "Single or dual sourcing: decision-making in the presence of supply chain disruption risks," Omega, Elsevier, vol. 37(4), pages 788-800, August.
- Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
- Swift, Cathy Owens, 1995. "Preferences for single sourcing and supplier selection criteria," Journal of Business Research, Elsevier, vol. 32(2), pages 105-111, February.
- Serel, Dogan A., 2008. "Inventory and pricing decisions in a single-period problem involving risky supply," International Journal of Production Economics, Elsevier, vol. 116(1), pages 115-128, November.
- Ranga V. Ramasesh & J. Keith Ord & Jack C. Hayya & Andrew Pan, 1991. "Sole Versus Dual Sourcing in Stochastic Lead-Time (s, Q) Inventory Models," Management Science, INFORMS, vol. 37(4), pages 428-443, April.
- Kull, Thomas & Closs, David, 2008. "The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy," European Journal of Operational Research, Elsevier, vol. 186(3), pages 1158-1174, May.
- Burke, Gerard J. & Carrillo, Janice E. & Vakharia, Asoo J., 2007. "Single versus multiple supplier sourcing strategies," European Journal of Operational Research, Elsevier, vol. 182(1), pages 95-112, October.
- Ruiz-Torres, Alex J. & Mahmoodi, Farzad, 2007. "The optimal number of suppliers considering the costs of individual supplier failures," Omega, Elsevier, vol. 35(1), pages 104-115, February.
- Tang, Christopher & Tomlin, Brian, 2008. "The power of flexibility for mitigating supply chain risks," International Journal of Production Economics, Elsevier, vol. 116(1), pages 12-27, November.
- Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
- Wilson, Martha C., 2007. "The impact of transportation disruptions on supply chain performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(4), pages 295-320, July.
When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:119:y:2009:i:1:p:122-135. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)
If references are entirely missing, you can add them using this form.