Buradasınız

Ordering policies for a dual sourcing supply chain with disruption risks

Journal Name:

Publication Year:

DOI: 
http://dx.doi.org/10.3926/jiem.690
Abstract (2. Language): 
Purpose: The main purpose of this article is to explore the trade-off between ordering policies and disruption risks in a dual-sourcing network under specific (or not) service level constraints, assuming that both supply channels are susceptible to disruption risks. Design/methodology/approach: Stochastic newsvendor models are presented under both the unconstrained and fill rate constraint cases. The models can be applicable for different types of disruptions related among others to the supply of raw materials, the production process, and the distribution system, as well as security breaches and natural disasters. Findings: Through the model, we obtain some important managerial insights and evaluate the value of contingency strategies in managing uncertain supply chains. Originality/value: This paper attempts to combine explicitly disruption management with risk aversion issues for a two-stage supply chain with two unreliable suppliers.
380-399

REFERENCES

References: 

Berger, P.D., & Zeng, A.Z. (2005). Single versus multiple sourcing in the presence of risks. Journal of the Operational Research Society, 7(3), 250–261.
Burke, G.J., Carrillo, J.E., & Vakharia, A.J. (2007). Single versus multiple supplier sourcing strategies. European Journal of Operational Research, 182, 95-112. http://dx.doi.org/10.1016/j.ejor.2006.07.007
Chahar, K., & Taaffe, K. (2009). Risk averse demand selection with all-or-nothing orders. Omega, 37, 996–1006. http://dx.doi.org/10.1016/j.omega.2008.11.004
Kleindorfer, P.R., & Saad, G.H. (2005). Managing disruption risks in supply chains. Production and Operations Management Society, 14(1), 53-68. http://dx.doi.org/10.1111/j.1937-5956.2005.tb00009.x
Patterson, J.L. (2007). Supply base risk assessment and contingency planning in emerging markets. Electrical Insulation Conference and Electrical Manufacturing Expo, 10, 342-347.
Schmitt, A.J., & Snyder, L.V. (2010). Infinite-horizon models for inventory control under yield uncertainty and disruptions. Computers & Operations Research, 39, 850–862. http://dx.doi.org/10.1016/j.cor.2010.08.004
Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52, 639-657. http://dx.doi.org/10.1287/mnsc.1060.0515Tomlin, B., & Wang, Y. (2005). On the value of mix flexibility and dual sourcing in unreliable newsvendor networks. Manufacturing & Service Operations Management, 7, 37–57. http://dx.doi.org/10.1287/msom.1040.0063
Wang, Y.M., & Gilland, W. (2010). Mitigating supply risk: Dual sourcing or process improvement? M&SOM-Manufacturing & Service Operations Management, 12(3), 489-510.
Xia, Y.S., Yang, M.H., Golany, B., Gilbert, SM., & Yu, G. (2004). Real-time disruption management in a two-stage production and inventory system. IIE Transactions, 36, 111-125. http://dx.doi.org/10.1080/07408170490245379
Xiao, T.J., & Qi, X.T. (2008). Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers. The International Journal of Management Science, 36, 741–753.
Yu, C.Y., & Zhao, X.N. (2007). Supply chain optimization and coordination model with risk aversion and preference. System Engineering, 25, 157.

Thank you for copying data from http://www.arastirmax.com