Predicted supply chain resilience based on structural evolution against random supply disruptions

International Journal of Systems Science: Operations and Logistics

Volumn 1, Issue 2, 2014, Pages 105-117

  Xu, Mengjuan ^a   Wang, Xinping ^a   Zhao, Lindu ^a  

^a Southeast University   (China)

Author keywords

predicted supply chain resilience; self adaption ability; self recovery ability; structural evolution

Indexed keywords

EID: 84938206575     PISSN: 23302674     EISSN: 23302682     Source Type: Journal    
DOI: 10.1080/23302674.2014.934748     Document Type: Article

References (26)

1. Barabási, A.L., & Albert, R., (1999). Emergence of scaling in random networks. Science, 286, 509–512.
2. Bogataj, D., & Bogataj, M., (2007). Measuring the supply chain risk and vulnerability in frequency space. International Journal of Production Economics, 108, 291–301.
3. Bruneau, M., Chang, S.E., Eguchi, R.T., Lee, G.C., O’Rourke, T.D., Reinhorn, A.M., … von Winterfeldt, D., (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, 19, 733–753.
4. Bruneau, M., & Reinhorn, A., (2007). Exploring the concept of seismic resilience for acute care facilities. Earthquake Spectra, 23, 41–62.
5. Cimellaro, G.P., Reinhorn, A.M., & Bruneau, M., (2010). Seismic resilience of a hospital system. Structure and Infrastructure Engineering, 6, 127–144.
6. Kleindorfer, P.R., & Saad, G.H., (2005). Managing disruption risks in supply chains. Production and Operations Management, 14, 53–68.
7. Lee, J.E., & Lee, K.D., (2013). Modeling and optimization of closed-loop supply chain considering order or next arrival of good. International Journal of Innovative Computing, Information and Control, 9, 3639–3654.
8. Li, G., Gu, Y.G., & Song, Z.H., (2013). Evolution of cooperation on heterogeneous supply networks. International Journal of Production Research, 51, 1–9.
9. Li, G., Ji, P., Sun, L.Y., & Lee, W.B., (2009). Modeling and simulation of supply network evolution based on complex adaptive system and fitness landscape. Computers & Industrial Engineering, 56, 839–853.
10. Li, Y., & Zhao, L., (2010). Analyzing deformation of supply chain resilient system based on cell resilience model. Life System Modeling and Intelligent Computing, 6328, 26–35.
11. Pathak, S.D., Dilts, D.M., & Biswas, G., (2007). On the evolutionary dynamics of supply network topologies. IEEE Transactions on Engineering Management, 54, 662–672.
12. Rice, J.B., & Caniato, F., (2003). Building a secure and resilient supply network. Supply Chain Management Review, 7, 22–30.
13. Sheffi, Y., (2001). Supply chain management under the threat of international terrorism. International Journal of Logistics Management, 12, 1–11.
14. Sheffi, Y., & Rice, J., (2005). A supply chain view of the resilient enterprise. MIT Sloan Management Review, 47, 41–48.
15. Swaminathan, J.M., Smith, S.F., & Sadeh, N.M., (1998). Modeling supply chain dynamics: A multiagent approach, Decision Sciences, 29, 607–632.
16. Tang, C.S., (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103, 451–488.
17. Tierney, K., & Bruneau, M., (2007). Conceptualizing and measuring resilience: A key to disaster loss reduction. TR News, 250, 14–17.
18. Tsao, Y.C., & Su, P.Y., (2012). A dual-channel supply chain model under price and warranty competition. Internatioanl Journal of Innovative Computing, Information and Control, 8, 2125–2135.
19. Wagner, S.M., & Bode, C., (2006). An empirical investigation into supply chain vulnerability. Journal of Purchasing & Supply Management, 12, 301–312.
20. Wang, D., & Ip, W.H., (2009). Evaluation and analysis of logistic network resilience with application to aircraft servicing. IEEE Systems Journal, 3, 166–173.
21. Yang, A., & Zhao, L., (2012). Research on resilience adaptation and recovery process of pharmaceutical supply chain responding to sudden risks. ICIC Express Letters, 6, 59–64.
22. Zhang, C., & Wang, H., (2012). A state-space based study of stability, bullwhip effect and total costs in two-stage supply chains. International Journal of Innovative Computing, Information and Control, 8, 3399–3410.
23. Zhao, K., Kumar, A., Harrison, T.P., & Yen, J., (2011). Analyzing the resilience of complex supply network topologies against random and targeted disruptions. IEEE Systems Journal, 5, 28–39.
24. Zobel, C.W., (2010). Comparative visualization of predicted disaster resilience. In Proceedings of the 7th International ISCRAM Conference. Seattle, WA.
25. Zobel, C.W., (2011). Representing perceived tradeoffs in defining disaster resilience. Decision Support Systems, 50, 394–403.
26. Zobel, C.W., & Khansa, L., (2014). Characterizing multi-event disaster resilience. Computers & Operations Research, 42, 83–94.