Aoki M, Rothwell G. A comparative institutional analysis of Fukushima nuclear disaster: Lessons and policy implications[J]. Energy Policy, 2013, 53: 240-247.
[2]
Kleindorfer P R, Saad G H. Managing disruption risks in supply chains[J]. Production and Operation Management, 2005, 14(1): 53-68.
[3]
Zsidisin G, Melnyk S, Ragatz G. An institutional theory perspective of business continuity planning for purchasing and supply chain management[J]. Int J of Production Research, 2005, 43(16): 3401-3420.
(Fu K J, Hu X P, Wang X P. The emergency strategies and models in supply chain systems[J]. China Soft Science, 2007(5): 119-124.)
[6]
Berge P D, Gerstenfeld A, Zeng A Z. How many suppliers are best? A decision-analysis approach[J]. Omega, 2004, 32(1): 9-15.
[7]
Ruiz-Torresa A J, Mahmoodi F. The optimal number of suppliers considering the costs of individual supplier failures[J]. Int J of Production Economics, 2007, 35(1): 104-115.
[8]
Meena P L, Sarmah S P, Sarkar A. Sourcing decisions under risk of catastrophic event disruptions[J]. Transportation Research Part E, 2011, 47(6): 1058-1074.
[9]
Tomlin B T. On the value of mitigation and contingency strategies for managing supply chain disruption risks[J]. Management Science, 2006, 52(5): 639-657.
[10]
Sawik T. Selection of resilient supply portfolio under disruption[J]. Omega, 2013, 41(2): 259-269.
[11]
Qi L. A continuous-review inventory model with random disruptions at the primary supplier[J]. European J of Operational Research, 2013, 225(1): 59-74.
[12]
Schmitt A J. Strategies for customer service level protection under multi-echelon supply chain disruption risk[J]. Transportation Research Part B, 2011, 45(8): 1266-1283.
[13]
Yu G, Qi X T. Disruption management: Framework, models and applications[M]. River Edge: World Scientific Publishing Co, 2004.
[14]
Qi X T, Bard J F, Yu G. Disruption management for machine scheduling: The case of spt schedules[J]. Int J of Production Economics, 2006, 103(1): 166-184.
(Tang H Y, Tang C H, Zhao C L. A preemptive-resume stochastic scheduling model with disruption[J]. Systems Engineering - Theory & Practice, 2010, 30(4): 751-757.)
[17]
Mohebbi E. A production-inventory model with randomly changing environmental conditions[J]. European J of Operational Research, 2006, 174(1): 539-552.
(Bao X. Can disruption cost be greatly cut down via capacity-sharing? A model research based on two kinds of capacity trading mode[J]. Chinese J of Management Science, 2012, 20(1): 123-128.)
[20]
Wadecki A A, Babich V, Wu O Q. Manufacturer competition and subsidies to suppliers[C]. Supply Chain Disruptions. London: Springer, 2012: 141-163.
(Yu H, Deng L, Sun C H. A CVaR model of supply chain emergency assistance[J]. J of Management Sciences in China, 2011, 14(6): 68-75.)
[23]
Hu X X, Gurnani H, Wang L. Managing risk of supply disruptions: Incentives for capacity restoration[J]. Production and Operations Management, 2013, 22(1): 137-150.
[24]
Yang Z, Aydin G, Babich V, et al. Supply disruptions, asymmetric information and a backup production option[J]. Management science, 2009, 55(2): 192-209.
[25]
Gao L, Li Z. Managing supply interruptions with contract
[26]
coordination and information sharing[D]. Riverside County: Anderson Graduate School of Management, University of California Riverside, 2010.
[27]
Tang C S. Review: Perspectives in supply chain risk management[J]. Int J of Production Economics, 2006, 103(2): 451-488.
[28]
Weng Z K. The power of coordinated ordering decisions for short-life-cycle products in a manufacturing and distribution supply chain[J]. IIE Trans, 1999, 31(11): 1037-1049.