References
- Adhitya, A.; Srinivasan, R.; Karimi, I. A. 2007. A model-based rescheduling framework for managing abnormal supply chain events, Computers & Chemical Engineering 31(5): 496–518. https://doi.org/10.1016/j.compchemeng.2006.07.002
- Alcantara, P.; Riglietti, G. 2016. Supply chain resilience report 2016, Business Continuity Institute: 44 [online], [cited 9 February 2017]. Available from Internet: https://www.riskmethods.net/resources/research/bci-supply-chain-resilience-2015.pdf
- Alexander, D. E. 1993. Natural disasters. Springer Science & Business Media.
- Applequist, G. E.; Pekny, J. F.; Reklaitis, G. V. 2000. Risk and uncertainty in managing chemical manufacturing supply chains, Computers & Chemical Engineering 24(9): 2211–2222. https://doi.org/10.1016/S0098-1354(00)00585-8
- Azadi, M.; Jafarian, M.; Saen, R. F.; Mkirhedayatian, S. M. 2015. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context, Computers & Operations Research 54: 274–285. https://doi.org/10.1016/j.cor.2014.03.002
- Azaron, A.; Brown, K. N.; Tarim, S. A.; Modarres, M. 2008. A multi-objective stochastic programming approach for supply chain design considering risk, International Journal of Production Economics 116(1): 129–138. https://doi.org/10.1016/j.ijpe.2008.08.002
- Bai, Y.; Zhou, P.; Zhou, D. Q.; Meng, F. Y.; Ju, K. Y. 2016. Desirable policies of a strategic petroleum reserve in coping with disruption risk: a Markov decision process approach, Computers & Operations Research 66: 58–66. https://doi.org/10.1016/j.cor.2015.07.017
- Bakshi, N.; Kleindorfer, P. 2009. Co-opetition and investment for supply-chain resilience, Production and Operations Management 18(6): 583–603.
- Barros, M. M.; Szklo, A. 2015. Petroleum refining flexibility and cost to address the risk of ethanol supply disruptions: the case of Brazil, Renewable Energy 77: 20–31. https://doi.org/10.1016/j.renene.2014.11.081
- Behdani, B. 2013. Handling disruptions in supply chains: an integrated framework and an agentbased model: PhD thesis. Next Generation Infrastructures Foundation.
- Birkie, S. E.; Trucco, P.; Kaulio, M. 2014. Disentangling core functions of operational resilience: a critical review of extant literature, International Journal of Supply Chain and Operations Resilience 1(1): 76–103. https://doi.org/10.1504/IJSCOR.2014.065461
- Bueno-Solano, A.; Cedillo-Campos, M. G. 2014. Dynamic impact on global supply chains performance of disruptions propagation produced by terrorist acts, Transportation Research Part E: Logistics and Transportation Review 61: 1–12. https://doi.org/10.1016/j.tre.2013.09.005
- Cavinato, J. L. 2004. Supply chain logistics risks: from the back room to the board room, International Journal of Physical Distribution & Logistics Management 34(5): 383–387. https://doi.org/10.1108/09600030410545427
- Chen, K.; Xiao, T. 2015. Outsourcing strategy and production disruption of supply chain with demand and capacity allocation uncertainties, International Journal of Production Economics 170: 243–257. https://doi.org/10.1016/j.ijpe.2015.09.028
- Chopra, S.; Sodhi, M. S. 2004. Managing risk to avoid supply-chain breakdown, MIT Sloan Management Review 46(1): 53.
- Costantino, F.; Gravio, G. D.; Shaban, A.; Tronci, M. 2014. Replenishment policy based on information sharing to mitigate the severity of supply chain disruption, International Journal of Logistics Systems and Management 18(1): 3–23. https://doi.org/10.1504/IJLSM.2014.062119
- Coutu, D. L. 2002. How resilience works, Harvard business review 80(5): 46–56.
- Culp, S. 2013. Supply Chain Disruption – a major threat to business, Forbes [online], [cited 11 February 2017]. Available from Internet: http://www.forbes.com/sites/steveculp/2013/02/15/supply-chaindisruption-a-major-threat-to-business.
- Dobie, G. 2015. Global claims review 2015 [online], [cited 11 February 2017]. Available from Internet: www.agcs.allianz.com
- EIA. 2016. Unplanned global oil supply disruptions reach highest level since at least 2011, Today in Energy [online], [cited 9 February 2017]. Available from Internet: http://www.eia.gov/todayinenergy/detail.php?id=26592
- Finch, P. 2004. Supply chain risk management, Supply Chain Management: An International Journal 9(2): 183–196. https://doi.org/10.1108/13598540410527079
- Gao, L. 2015. Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management, European Journal of Operational Research 245(1): 133–145. https://doi.org/10.1016/j.ejor.2015.02.048
- Giri, B. C.; Sarker, B. R. 2017. Improving performance by coordinating a supply chain with third party logistics outsourcing under production disruption, Computers & Industrial Engineering 103: 168–177. https://doi.org/10.1016/j.cie.2016.11.022
- Grenville, A. 2014. 5 ways of increasing brand transparency to strengthen customer loyalty [online], [cited 9 February 2017]. Available from Internet: https://www.visioncritical.com/betransparent/
- Gülpιnar, N.; Canakoglu, E.; Pachamanova, D. 2014. Robust investment decisions under supply disruption in petroleum markets, Computers & Operations Research 44: 75–91. https://doi.org/10.1016/j.cor.2013.08.006
- Güngör, Z.; Serhadlıoğlu, G.; Kesen, S. E. 2009. A fuzzy AHP approach to personnel selection problem, Applied Soft Computing 9(2): 641–646. https://doi.org/10.1016/j.asoc.2008.09.003
- Hallikas, J.; Karvoneh, I.; Pulkkineh, U.; Virolainen, V.; Touminen, M. 2004. Risk management processes in supplier networks, International Journal of Production Economics 90(1): 47–58. https://doi.org/10.1016/j.ijpe.2004.02.007
- Hao, Z.; Xu, Z.; Zhao, H.; Zhang, R. 2017. Novel intuitionistic fuzzy decision making models in the framework of decision field theory, Information Fusion 33: 57–70. https://doi.org/10.1016/j.inffus.2016.05.001
- Hosseini, S.; Al Khaled, A. 2016. A hybrid ensemble and AHP approach for resilient supplier selection, Journal of Intelligent Manufacturing, 1–22 (in press). https://doi.org/10.1007/s10845-016-1241-y
- Ivanov, D.; Dolgui, A.; Sokolov, B.; Ivanova, M. 2016a. Disruptions in supply chains and recovery policies: state-of-the art review, IFAC-PapersOnLine 49(12): 1436–1441. https://doi.org/10.1016/j.ifacol.2016.07.773
- Ivanov, D.; Pavlov, A.; Sokolov, B. 2014. Optimal distribution (re) planning in a centralized multi-stage supply network under conditions of the ripple effect and structure dynamics, European Journal of Operational Research 237(2): 758–770. https://doi.org/10.1016/j.ejor.2014.02.023
- Ivanov, D.; Tsipoulanidis, A.; Schönberger, J. 2016b. Global suppy chain and operations management. Springer.
- Ivanov, D.; Tsipoulanidis, A.; Schönberger, J. 2017. Inventory management, in Global supply chain and operations management. Springer, 345–388. https://doi.org/10.1007/978-3-319-24217-0_13
- Jabbarzadeh, A.; Fahimnia, B.; Sheu, J.; Moghadam, H. S. 2016. Designing a supply chain resilient to major disruptions and supply/demand interruptions, Transportation Research Part B: Methodological 94: 121–149. https://doi.org/10.1016/j.trb.2016.09.004
- Johnson, M. E. 2001. Learning from toys: lessons in managing supply chain risk from the toy industry, California Management Review 43(3): 106–124. https://doi.org/10.2307/41166091
- Kamalahmadi, M.; Parast, M. M. 2016. An assessment of supply chain disruption mitigation strategies, International Journal of Production Economics 184: 210–230. https://doi.org/10.1016/j.ijpe.2016.12.011
- Katata, K. 2011. Disruption risks and robust investment strategies in petroleum markets: PhD thesis. University of Warwick, UK.
- Kazemi, Y.; Szmerekovsky, J. 2015. Modeling downstream petroleum supply chain: the importance of multi-mode transportation to strategic planning, Transportation Research Part E: Logistics and Transportation Review 83: 111–125. https://doi.org/10.1016/j.tre.2015.09.004
- Kean, V. A. 2009. The petroleum disruption response system [online], [cited 9 February2017]. Available from Internet: http://hdl.handle.net/10919/41502
- Kiser, J.; Cantrell, G. 2006. 6 steps to managing risk, Supply Chain Management Review 10(3): 12–17.
- Kleindorfer, P. R.; Saad, G. H. 2005. Managing disruption risks in supply chains, Production and Operations Management 14(1): 53–68.
- Lee, H. L.; Wolfe, M. 2003. Supply chain security without tears, Supply Chain Management Review 7(3): 12–20.
- Letza, S. R. 1996. The design and implementation of the balanced business scorecard: an analysis of three companies in practice, Business Process Re-engineering & Management Journal 2(3): 54–76. https://doi.org/10.1108/14637159610151217
- Li, X.; Wang, L. 2015. Strategy decision of business interruption insurance and emergency supply strategy based on supply disruptions, Journal of Industrial Engineering and Management 8(1): 110–121. https://doi.org/10.3926/jiem.1346
- Lim, M.; Bassamboo, A.; Chopra, S.; Daskin, M. S. 2013. Facility location decisions with random disruptions and imperfect estimation, Manufacturing & Service Operations Management 15(2): 239–249. https://doi.org/10.1287/msom.1120.0413
- Manuj, I.; Mentzer, J. T. 2008. Global supply chain risk management strategies, International Journal of Physical Distribution & Logistics Management 38(3): 192–223. https://doi.org/10.1108/09600030810866986
- Martha, J.; Vratimos, E. 2002. Creating a just-in-case supply chain for the inevitable next disaster, Mercer Management Journal 14(1): 70–77.
- Martin, T. D.; Bell, J. T. 2016. New horizons in standardized work: techniques for manufacturing and business process improvement. CRC Press.
- Mitroff, I. I.; Alpaslan, M. C. 2003. Preparing for evil. Harvard Business School Pub.
- Murphy, S. 2006. BGP security vulnerabilities analysis.
- Norton, D.; Kaplan, R. 1993. Putting the balanced scorecard to work, Harvard Business Review 71(5): 134–140.
- Oehmen, J.; Ziegenbein, A.; Alard, R.; Schonsleben, P. 2009. System-oriented supply chain risk management, Production Planning and Control 20(4): 343–361. https://doi.org/10.1080/09537280902843789
- Officials, S. E. 2006. Petroleum shortage supply management: options for states [online], [cited 9 February 2017]. Available from Internet: www.naseo.org
- Park, K.; Min, H.; Min, S. 2016. Inter-relationship among risk taking propensity, supply chain security practices, and supply chain disruption occurrence, Journal of Purchasing and Supply Management 22(2): 120–130. https://doi.org/10.1016/j.pursup.2015.12.001
- Paul, S. K.; Sarker, R.; Essam, D. 2017. A quantitative model for disruption mitigation in a supply chain, European Journal of Operational Research 257(3): 881–895. https://doi.org/10.1016/j.ejor.2016.08.035
- Paul, S. K.; Sarker, R.; Essam, D. 2014. Managing real-time demand fluctuation under a supplier–retailer coordinated system, International Journal of Production Economics 158: 231–243. https://doi.org/10.1016/j.ijpe.2014.08.007
- Peck, H. 2005. Drivers of supply chain vulnerability: an integrated framework, International Journal of Physical Distribution & Logistics Management 35(4): 210–232. https://doi.org/10.1108/09600030510599904
- Pender, B.; Currie, G.; Delbosc, A.; Shiwakoti, N. 2013. Disruption recovery in passenger railways: international survey, Transportation Research Record: Journal of the Transportation 2353: 22–32. https://doi.org/10.3141/2353-03
- Rafiei, M.; Mohammadi, M.; Torabi, S. 2013. Reliable multi period multi product supply chain design with facility disruption, Decision Science Letter 2(2): 81–94. https://doi.org/10.5267/j.dsl.2013.02.002
- Rangel, D. A.; de Oliveira, T. K.; Leite, M. S. A. 2015. Supply chain risk classification: discussion and proposal, International Journal of Production Research 53(22): 6868–6887. https://doi.org/10.1080/00207543.2014.910620
- Ratzmann, M.; Gudergan, S. P.; Bouncken, R. 2016. Capturing heterogeneity and PLS-SEM prediction ability: alliance governance and innovation, Journal of Business Research 69(10): 4593–4603. https://doi.org/10.1016/j.jbusres.2016.03.051
- Revilla, E.; Sáenz, M. J. 2014. Supply chain disruption management: global convergence vs national specificity, Journal of Business Research 67(6): 1123–1135. https://doi.org/10.1016/j.jbusres.2013.05.021
- Rice, J. B.; Caniato, F. 2003. Building a secure and resilent supply network, Supply Chain Management Review 7(5): 22–30.
- Robles, A.; Severson, R. 2016. Improving supply chain resilience for a fashion retailer: a qualitative and quantitative study: Master’s Thesis. Massachusetts Institute of Technology.
- Schmidt, W.; Raman, A. 2012. When supply-chain disruptions matter. Harvard Business School Boston, MA.
- Schmitt, T. G.; Kumar, S.; Stecke, K. E.; Glover, F. W.; Ehlen, M. A. 2017. Mitigating disruptions in a multi-echelon supply chain using adaptive ordering, Omega 68: 185–198. https://doi.org/10.1016/j.omega.2016.07.004
- Sharma, K. S.; Bhagwat, R. 2007. An integrated BSC-AHP approach for supply chain management evaluation, Measuring Business Excellence 11(3): 57–68. https://doi.org/10.1108/13683040710820755
- Sheffi, Y. 2001. Supply chain management under the threat of international terrorism, The International Journal of Logistics Management 12(2): 1–11. https://doi.org/10.1108/09574090110806262
- Sheffi, Y.; Rice, J. 2005. Building the Resilient Enterprise, MIT Sloan Management Review 47(1): 41–48.
- Simchi-Levi, D.; Schmidt, W.; Wei, Y.; Shang, P. U.; Combs, K.; Ge, Y.; Gusikhin, O.; Sanders, M.; Zhang, D. 2015. Identifying risks and mitigating disruptions in the automotive supply chain, Interfaces 45(5): 375–390. https://doi.org/10.1287/inte.2015.0804
- Snyder, L. V.; Atan, Z.; Peng, P.; Rong, Y.; Schmitt, A. J.; Sinsoysal, B. 2012. Or/ms models for supply chain disruptions: a review, IIE Transactions 48(2): 89–109. https://doi.org/10.1080/0740817X.2015.1067735
- Stecke, K. E.; Kumar, S. 2009. Sources of supply chain disruptions, factors that breed vulnerability and mitigating strategies, Journal of Marketing Channels 16(3): 193–226. https://doi.org/10.1080/10466690902932551
- Tan, C.; Chen, X. 2010. Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making, Expert Systems with Applications 37(1): 149–157. https://doi.org/10.1016/j.eswa.2009.05.005
- Tang, C. S. 2006. Robust strategies for mitigating supply chain disruptions, International Journal of Logistics: Research and Applications 9(1): 33–45. https://doi.org/10.1080/13675560500405584
- Tang, O.; Nurmaya Musa, S. 2011. Identifying risk issues and research advancements in supply chain risk management, International Journal of Production Economics 133: 25–34. https://doi.org/10.1016/j.ijpe.2010.06.013
- Tomlin, B. 2006. On the value of mitigation and contingency strategies for managing supply chain disruption risks, Management Science 52(5): 639–657. https://doi.org/10.1287/mnsc.1060.0515
- Vahdani, B.; Zandieh, M.; Roshanaei, V. 2011. A hybrid multi-stage predictive model for supply chain network collapse recovery analysis: a practical framework for effective supply chain network continuity management, International Journal of Production Research 49(7): 2035–2060. https://doi.org/10.1080/00207540903289748
- Vakharia, A. J.; Yenipazarli, A. 2009. Managing supply chain disruptions, Foundations and Trends in Technology, Information and Operations Management 2(4): 243–325. https://doi.org/10.1561/0200000012
- Wang, Y. M.; Chin, K. S. 2011. Fuzzy analytic hierarchy process: a logarithmic fuzzy preference programming methodology, International Journal of Approximate Reasoning 52(4): 541–553. https://doi.org/10.1016/j.ijar.2010.12.004
- WKP. 2015. Petroleum industry, 1–4 [online], [cited 9 February 2017]. Available from Internet: http://www.slideshare.net/MickeyOtterlei/petroleum-industry-final
- Xu, Z. 2010. Choquet integrals of weighted intuitionistic fuzzy information, Information Sciences 180(5): 726–736. https://doi.org/10.1016/j.ins.2009.11.011
- Yeletaysi, S. 2009. A risk analysis on the continuity of the petroleum supply chain using GIS and systems simulation. The George Washington University.
- Yeniyurt, S. 2003. A literature review and integrative performance measurement framework for multinational companies, Marketing Intelligence & Planning 21(3): 134–142. https://doi.org/10.1108/02634500310474957
- Zsidisin, G. A.; Ellram, L. M. 2003. An agency theory investigation of supply risk management, Journal of Supply Chain Management 39(3): 15–27.