A new newsvendor policy model for dual-sourcing supply chains by considering disruption risk and special order

Agrawal, N., & Nahmias, S. (1998). Rationalization of the supplier base in the presence of yield uncertainty. Production and Operations Management, 6(3), 291–308.

Andrew, M. R., Ying, R., & Lawrence, V. S. (2008). Supply disruptions with time-dependent parameters. Computers and Operations Research, 35(8), 3504–3529.

Anupindi, R., & Akella, R. (1993). Diversification under supply uncertainty. Management Science, 39(8), 944–963.

Bai, X., & Liu, Y. (2014). Robust optimization of supply chain network design in fuzzy decision system. Journal of Intelligent Manufacturing,. doi: 10.1007/s10845-014-0939-y .

Federgruen, A., & Yang, N. (2009). Optimal supply diversification under general supply risks. Operations Research, 57(6), 1451–1468.

Gürler, Ü., & Parlar, M. (1997). An inventory problem with two randomly available suppliers. Operations Research, 45(6), 904–918.

Lavigne, B. B., Bassetto, S., & Agard, B. (2015). A method for a robust optimization of joint product and supply chain design. Journal of Intelligent Manufacturing,. doi: 10.1007/s10845-014-0908-5 .

Li, X., & Chen, Y. (2010). Impacts of supply disruptions and customer differentiation on a partial-backordering inventory system. Simulation Modelling Practice and Theory, 18(5), 547–557.

Luangpaiboon, P. (2015). Evolutionary elements on composite ascent algorithm for multiple response surface optimization. Journal of Intelligent Manufacturing, 26(3), 539–552.

Mousavi, S. M., Bahreininejad, A., Musa, N. S., & Yusof, F. (2014). A modified particle swarm optimization for solving the integrated location and inventory control problems in a two-echelon supply chain network. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-014-0970-z .

Parlar, M. (1997). Continuous-review inventory problem with random supply interruptions. European Journal of Operational Research, 99(2), 366–385.

Ramos, H., & Patricio, M. F. (2014). Some new implicit two-step multiderivative methods for solving special second-order IVP’s. Applied Mathematics and Computation, 239, 227–241.

Ray, P., & Jenamani, M. (2014). Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach. Annals of Operations Research. doi: 10.1007/s10479-014-1649-8 .

Scavarda, M., Levalle, R. R., Lee, S., & Nof, S. Y. (2015). Collaborative e-work parallelism in supply decisions networks: The chemical dimension. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-015-1054-4 .

Schmitt, A. J., & Snyder, L. V. (2012). Infinite-horizon models for inventory control under yield uncertainty and disruptions. Computers & Operations Research, 39(4), 850–862.

Silbermayr, L., & Minner, S. (2013). A multiple sourcing inventory model under disruption risk. International Journal of Production Economics, 149, 37–46.

Stanislavova. M. & Stefanov. A. (2013). Spectral stability analysis for special solutions of second order in time PDEs: The higher dimensional case. Physica D: Nonlinear Phenomena, pp. 1–13.

Tomlin, B., & Wang, Y. (2005). On the value of mix flexibility and dual sourcing in unreliable newsvendor networks. Manufacturing & Service Operations Management, 7(1), 37–57.

Veeraraghavan, S., & Scheller, W. A. (2008). Now or later: A simple policy for effective dual sourcing in capacitated systems. Operations Research, 56(4), 850–864.

Wu, C. H., & Chuang, Y. T. (2011). An efficient algorithm for stochastic capacity portfolio planning problems. Journal of Intelligent Manufacturing, 23(6), 2161–2170.

Xanthopoulos, A., Vlachos, D., & Iakovou, E. (2012). Optimal newsvendor policies for dual-sourcing supply chains: A disruption risk management framework. Computers & Operations Research, 39(2), 350–357.

Xiang, W., Song, F., & Ye, F. (2014). Order allocation for multiple supply-demand networks within a cluster. Journal of Intelligent Manufacturing, 25(6), 1367–1376.

Xiao, T., & Qi, X. (2008). Price competition, cost and demand disruptions and coordination of a supply chain with one manufacturer and two competing retailers. Omega, 36(5), 741–753.

Yahia, W. B., Ayadi, O., & Masmoudi, F. (2015). A fuzzy-based negotiation approach for collaborative planning in manufacturing supply chains. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-015-1085-x .

Yang, G., & Liu, Y. (2015). Designing fuzzy supply chain network problem by mean-risk optimization method. Journal of Intelligent Manufacturing, 26(3), 447–458.

Yan, X., & Liu, K. (2009). An inventory system with two suppliers and default risk. Operations Research Letters, 37(5), 322–326.

Zanotti, O., & Dumbser, M. (2014). A high order special relativistic hydrodynamic and magneto hydrodynamic code with space–time adaptive mesh refinement. Computer Physics Communications, 188, 110–127.

Zhang, D. Y., Cao, X., Wang, L., & Zeng, Y. (2011). Mitigating the risk of information leakage in a two-level supply chain through optimal supplier selection. Journal of Intelligent Manufacturing, 23(4), 1351–1354.