{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:21:59Z","timestamp":1784301719004,"version":"3.55.0"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:00:00Z","timestamp":1551744000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:00:00Z","timestamp":1551744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s10479-019-03182-6","type":"journal-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T09:57:49Z","timestamp":1551779869000},"page":"495-524","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":120,"title":["Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics"],"prefix":"10.1007","volume":"349","author":[{"given":"Alexander","family":"Pavlov","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4932-9627","authenticated-orcid":false,"given":"Dmitry","family":"Ivanov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitry","family":"Pavlov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexey","family":"Slinko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,3,5]]},"reference":[{"key":"3182_CR1","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1016\/j.ress.2010.12.011","volume":"96","author":"\u00d8 Berle","year":"2011","unstructured":"Berle, \u00d8., Asbj\u00f8rnslet, B. E., & Rice, J. B. (2011). Formal vulnerability assessment of a maritime transportation system. Reliability Engineering & System Safety, 96, 696\u2013705.","journal-title":"Reliability Engineering & System Safety"},{"issue":"19","key":"3182_CR3","doi-asserted-by":"crossref","first-page":"4067","DOI":"10.1080\/00207540500151549","volume":"43","author":"J Blackhurst","year":"2005","unstructured":"Blackhurst, J., Craighead, C. W., Elkins, D., & Handfield, R. (2005). An empirically derived agenda of critical research issues for managing supply-chain disruptions. International Journal of Production Research, 43(19), 4067\u20134081.","journal-title":"International Journal of Production Research"},{"issue":"2","key":"3182_CR4","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.ejor.2013.09.032","volume":"233","author":"M Brandenburg","year":"2014","unstructured":"Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2014). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233(2), 299\u2013312.","journal-title":"European Journal of Operational Research"},{"key":"3182_CR5","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10479-015-1853-1","volume":"229","author":"M Brandenburg","year":"2015","unstructured":"Brandenburg, M., & Rebs, T. (2015). Sustainable supply chain management: A modeling perspective. Annals of Operation Research, 229, 213\u2013252.","journal-title":"Annals of Operation Research"},{"issue":"1","key":"3182_CR6","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s10479-009-0539-y","volume":"189","author":"JCC Chan","year":"2011","unstructured":"Chan, J. C. C., & Kroese, D. P. (2011). Rare-event probability estimation with conditional Monte Carlo. Annals of Operations Research, 189(1), 43\u201361.","journal-title":"Annals of Operations Research"},{"issue":"4","key":"3182_CR7","doi-asserted-by":"crossref","first-page":"1210","DOI":"10.1080\/00207543.2016.1229067","volume":"55","author":"FTS Chan","year":"2017","unstructured":"Chan, F. T. S., Li, N., Chung, S. H., & Saadat, M. (2017). Management of sustainable manufacturing systems: A review on mathematical problems. International Journal of Production Research, 55(4), 1210\u20131225.","journal-title":"International Journal of Production Research"},{"key":"3182_CR8","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.rcim.2015.12.008","volume":"43","author":"H Ch\u00e1vez","year":"2016","unstructured":"Ch\u00e1vez, H., Castillo-Villar, K. K., Herrera, L., & Bustos, A. (2016). Simulation-based multi-objective model for supply chains with disruptions in transportation. Robotics and Computer-Integrated Manufacturing, 43, 39\u201349.","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"1\u20132","key":"3182_CR9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10479-017-2582-4","volume":"257","author":"TM Choi","year":"2017","unstructured":"Choi, T. M., Govindan, K., Li, X., & Li, Y. (2017). Innovative supply chain optimization models with multiple uncertainty factors. Annals of Operations Research, 257(1\u20132), 1\u201314.","journal-title":"Annals of Operations Research"},{"issue":"8","key":"3182_CR10","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.1111\/risa.12859","volume":"37","author":"TM Choi","year":"2017","unstructured":"Choi, T. M., & Lambert, J. H. (2017). Advances in risk analysis with big data. Risk Analysis, 37(8), 1435\u20131442.","journal-title":"Risk Analysis"},{"issue":"1","key":"3182_CR12","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1111\/j.1540-5915.2007.00151.x","volume":"38","author":"C Craighead","year":"2007","unstructured":"Craighead, C., Blackhurst, J., Rungtusanatham, M., & Handfield, R. (2007). The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131\u2013156.","journal-title":"Decision Sciences"},{"key":"3182_CR13","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1287\/opre.8.1.101","volume":"8","author":"GB Dantzig","year":"1960","unstructured":"Dantzig, G. B., & Wolfe, P. (1960). Decomposition principle for linear programs. Operations Research, 8, 101\u2013111.","journal-title":"Operations Research"},{"issue":"1\u20132","key":"3182_CR14","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1080\/00207543.2017.1387680","volume":"56","author":"A Dolgui","year":"2018","unstructured":"Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, 56(1\u20132), 414\u2013430.","journal-title":"International Journal of Production Research"},{"key":"3182_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-017-2681-2","author":"S Elluru","year":"2017","unstructured":"Elluru, S., Gupta, H., Kaur, H., & Singh, S. P. (2017). Proactive and reactive models for disaster resilient supply chain. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-017-2681-2.","journal-title":"Annals of Operations Research"},{"key":"3182_CR16","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.tre.2016.02.007","volume":"91","author":"B Fahimnia","year":"2016","unstructured":"Fahimnia, B., & Jabarzadeh, A. (2016). Marrying supply chain sustainability and resilience: A match made in heaven. Transportation Research-Part E, 91, 306\u2013324.","journal-title":"Transportation Research-Part E"},{"key":"3182_CR17","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.omega.2015.01.014","volume":"54","author":"B Fahimnia","year":"2014","unstructured":"Fahimnia, B., Sarkis, J., & Eshragh, A. (2014). A tradeoff model for green supply chain planning: A leanness-versus-greenness analysis. Omega, 54, 173\u2013190.","journal-title":"Omega"},{"key":"3182_CR18","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.tre.2017.02.004","volume":"101","author":"M Fattahi","year":"2017","unstructured":"Fattahi, M., Govindan, K., & Keyvanshokooh, E. (2017). Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers. Transportation Research Part E, 101, 176\u2013200.","journal-title":"Transportation Research Part E"},{"key":"3182_CR20","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.2875596","author":"SY Gao","year":"2018","unstructured":"Gao, S. Y., Simchi-Levi, D., Teo, C.-P., & Yan, Z. (2018). Disruption risk mitigation in supply chains: The risk exposure index revisited. Operations Research. https:\/\/doi.org\/10.2139\/ssrn.2875596.","journal-title":"Operations Research"},{"key":"3182_CR21","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.tre.2014.06.017","volume":"71","author":"R Gedik","year":"2014","unstructured":"Gedik, R., Medal, H., Rainwater, C. E., Pohl, E. A., & Mason, S. J. (2014). Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application. Transportation Research Part E: Logistics and Transportation Review, 71, 45\u201357.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"issue":"4","key":"3182_CR22","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.ijpe.2015.06.032","volume":"171","author":"M Giannakis","year":"2016","unstructured":"Giannakis, M., & Papadopoulos, T. (2016). Supply chain sustainability: A risk management approach. International Journal of Production Economics, 171(4), 455\u2013470.","journal-title":"International Journal of Production Economics"},{"key":"3182_CR23","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.ijpe.2017.03.003","volume":"195","author":"K Govindan","year":"2018","unstructured":"Govindan, K. (2018). Sustainable consumption and production in the food supply chain: A conceptual framework. International Journal of Production Economics, 195, 419\u2013431.","journal-title":"International Journal of Production Economics"},{"issue":"1","key":"3182_CR24","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.ejor.2017.04.009","volume":"263","author":"K Govindan","year":"2017","unstructured":"Govindan, K., Fattahi, M., & Keyvanshokooh, E. (2017). Supply chain network design under uncertainty: A comprehensive review and future research directions. European Journal of Operational Research, 263(1), 108\u2013141.","journal-title":"European Journal of Operational Research"},{"issue":"8","key":"3182_CR25","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1109\/TCYB.2014.2382666","volume":"46","author":"K Govindan","year":"2016","unstructured":"Govindan, K., Jafarian, A., Azbari, M. E., & Choi, T. M. (2016). Optimal bi-objective redundancy allocation for systems reliability and risk management. IEEE Transactions on Cybernetics, 46(8), 1735\u20131748.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"3182_CR26","doi-asserted-by":"crossref","first-page":"29","DOI":"10.3141\/2549-04","volume":"2549","author":"TR Hanson","year":"2016","unstructured":"Hanson, T. R. (2016). Using open source data to quantify the impact of supply chain disruptions at niche ports: Scenario involving Canada\u2019s largest oil refinery. Transportation Research Record, 2549, 29\u201336.","journal-title":"Transportation Research Record"},{"key":"3182_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2018.08.008","author":"J He","year":"2018","unstructured":"He, J., Alavifard, F., Ivanov, D., & Jahani, H. (2018). A real-option approach to mitigate disruption risk in the supply chain. Omega: The International Journal of Management Science. https:\/\/doi.org\/10.1016\/j.omega.2018.08.008. (in press).","journal-title":"Omega: The International Journal of Management Science"},{"issue":"16","key":"3182_CR28","doi-asserted-by":"crossref","first-page":"5031","DOI":"10.1080\/00207543.2015.1030467","volume":"53","author":"W Ho","year":"2015","unstructured":"Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015). Supply chain risk management: A literature review. International Journal of Production Research, 53(16), 5031\u20135069.","journal-title":"International Journal of Production Research"},{"key":"3182_CR29","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1016\/j.cie.2016.01.007","volume":"93","author":"S Hosseini","year":"2016","unstructured":"Hosseini, S., & Barker, K. (2016). Modeling infrastructure resilience using Bayesian networks: A case study of inland waterway ports. Computers & Industrial Engineering, 93, 252\u2013266.","journal-title":"Computers & Industrial Engineering"},{"issue":"2","key":"3182_CR30","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1007\/s11069-014-1214-4","volume":"74","author":"C-H Hsieh","year":"2014","unstructured":"Hsieh, C.-H. (2014). Disaster risk assessment of ports based on the perspective of vulnerability. Natural Hazards, 74(2), 851\u2013864.","journal-title":"Natural Hazards"},{"issue":"7","key":"3182_CR100","doi-asserted-by":"crossref","first-page":"2083","DOI":"10.1080\/00207543.2016.1275873","volume":"55","author":"D Ivanov","year":"2017","unstructured":"Ivanov, D. (2017). Simulation-based ripple effect modelling in the supply chain. International Journal of Production Research, 55(7), 2083\u20132101.","journal-title":"International Journal of Production Research"},{"key":"3182_CR31","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-69305-7","volume-title":"Structural dynamics and resilience in supply chain risk management","author":"D Ivanov","year":"2018","unstructured":"Ivanov, D. (2018a). Structural dynamics and resilience in supply chain risk management. New York: Springer."},{"issue":"10","key":"3182_CR32","doi-asserted-by":"crossref","first-page":"3507","DOI":"10.1080\/00207543.2017.1343507","volume":"56","author":"D Ivanov","year":"2018","unstructured":"Ivanov, D. (2018b). Revealing interfaces of supply chain resilience and sustainability: A simulation study. International Journal of Production Research, 56(10), 3507\u20133523.","journal-title":"International Journal of Production Research"},{"key":"3182_CR33","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1521025","author":"D Ivanov","year":"2019","unstructured":"Ivanov D., & Dolgui, A. (2019). Low-certainty-need (LCN) supply chains: A new perspective in managing disruption risks and resilience. International Journal of Production Research. https:\/\/doi.org\/10.1080\/00207543.2018.1521025.","journal-title":"International Journal of Production Research"},{"key":"3182_CR34","doi-asserted-by":"crossref","unstructured":"Ivanov, D., Dolgui, A., Ivanova, M., & Sokolov, B. (2018). Simulation vs optimization approaches to ripple effect modelling in the supply chain. In Proceedings of the LDIC conference 2018, February 20\u201322. Bremen: Springer.","DOI":"10.1007\/978-3-319-74225-0_5"},{"issue":"20","key":"3182_CR35","doi-asserted-by":"crossref","first-page":"6158","DOI":"10.1080\/00207543.2017.1330572","volume":"55","author":"D Ivanov","year":"2017","unstructured":"Ivanov, D., Dolgui, A., Sokolov, B., & Ivanova, M. (2017a). Literature review on disruption recovery in the supply chain. International Journal of Production Research, 55(20), 6158\u20136174.","journal-title":"International Journal of Production Research"},{"key":"3182_CR36","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.ijpe.2016.03.012","volume":"183","author":"D Ivanov","year":"2017","unstructured":"Ivanov, D., Pavlov, A., Pavlov, D., & Sokolov, B. (2017b). Minimization of disruption-related return flows in the supply chain. International Journal of Production Economics, 183, 503\u2013513.","journal-title":"International Journal of Production Economics"},{"key":"3182_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-017-2643-8","author":"D Ivanov","year":"2017","unstructured":"Ivanov, D., & Rozhkov, M. (2017). Coordination of production and ordering policies under capacity disruption and product write-off risk: An analytical study with real-data based simulations of a fast moving consumer goods company. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-017-2643-8.","journal-title":"Annals of Operations Research"},{"issue":"7","key":"3182_CR38","doi-asserted-by":"crossref","first-page":"2154","DOI":"10.1080\/00207543.2013.858836","volume":"52","author":"D Ivanov","year":"2014","unstructured":"Ivanov, D., Sokolov, B., & Dolgui, A. (2014a). The Ripple effect in supply chains: trade-off \u2018efficiency-flexibility-resilience\u2019 in disruption management. International Journal of Production Research, 52(7), 2154\u20132172.","journal-title":"International Journal of Production Research"},{"issue":"2","key":"3182_CR39","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.ejor.2009.01.002","volume":"200","author":"D Ivanov","year":"2010","unstructured":"Ivanov, D., Sokolov, B., & Kaeschel, J. (2010). A multi-structural framework for adaptive supply chain planning and operations with structure dynamics considerations. European Journal of Operational Research, 200(2), 409\u2013420.","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"3182_CR42","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1016\/j.ejor.2014.02.023","volume":"237","author":"D Ivanov","year":"2014","unstructured":"Ivanov, D., Sokolov, B., & Pavlov, A. (2014b). Optimal distribution (re)planning in a centralized multi-stage network under conditions of ripple effect and structure dynamics. European Journal of Operational Research, 237(2), 758\u2013770.","journal-title":"European Journal of Operational Research"},{"key":"3182_CR43","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.tre.2015.12.007","volume":"90","author":"D Ivanov","year":"2016","unstructured":"Ivanov, D., Sokolov, B., Pavlov, A., Dolgui, A., & Pavlov, D. (2016). Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies. Transportation Research Part E, 90, 7\u201324.","journal-title":"Transportation Research Part E"},{"issue":"17","key":"3182_CR44","doi-asserted-by":"crossref","first-page":"5945","DOI":"10.1080\/00207543.2018.1461950","volume":"56","author":"A Jabarzadeh","year":"2018","unstructured":"Jabarzadeh, A., Fahimnia, B., & Sabouhi, F. (2018). Resilient and sustainable supply chain design: sustainability analysis under disruption risks. International Journal of Production Research, 56(17), 5945\u20135968.","journal-title":"International Journal of Production Research"},{"key":"3182_CR45","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.aap.2016.07.013","volume":"123","author":"J Kwesi-Buor","year":"2015","unstructured":"Kwesi-Buor, J., Menachof, D. A., & Talas, R. (2015). Scenario analysis and disaster preparedness for port and maritime logistics risk management. Accident Analysis & Prevention, 123, 433\u2013447.","journal-title":"Accident Analysis & Prevention"},{"issue":"2","key":"3182_CR46","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s10479-013-1421-5","volume":"240","author":"M Lalmazloumian","year":"2016","unstructured":"Lalmazloumian, M., Wong, K. Y., Govindan, K., & Kannan, D. (2016). A robust optimization model for agile and build-to-order supply chain planning under uncertainties. Annals of Operations Research, 240(2), 435\u2013470.","journal-title":"Annals of Operations Research"},{"issue":"5","key":"3182_CR47","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1080\/03088839.2015.1016560","volume":"42","author":"JSL Lam","year":"2015","unstructured":"Lam, J. S. L., & Su, S. (2015). Disruption risks and mitigation strategies: An analysis of Asian ports. Maritime Policy & Management, 42(5), 415\u2013435.","journal-title":"Maritime Policy & Management"},{"issue":"2","key":"3182_CR49","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1287\/trsc.1120.0406","volume":"47","author":"BM Lewis","year":"2013","unstructured":"Lewis, B. M., Erera, A. L., Nowak, M. A., & White, C. C., III. (2013). Managing inventory in global supply chains facing port-of-entry disruption risks. Transportation Science, 47(2), 162\u2013180.","journal-title":"Transportation Science"},{"issue":"3","key":"3182_CR50","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.ajsl.2015.09.001","volume":"31","author":"HS Loh","year":"2015","unstructured":"Loh, H. S., & Thai, V. V. (2015). Cost consequences of a port-related supply chain disruption. Asian Journal of Shipping and Logistics, 31(3), 319\u2013340.","journal-title":"Asian Journal of Shipping and Logistics"},{"issue":"5","key":"3182_CR52","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1080\/00207543.2012.695878","volume":"51","author":"KJ Mizgier","year":"2013","unstructured":"Mizgier, K. J., J\u00fcttner, M., & Wagner, S. M. (2013). Bottleneck identification in supply chain networks. International Journal of Production Research, 51(5), 1477\u20131490.","journal-title":"International Journal of Production Research"},{"key":"3182_CR53","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1007\/s10479-017-2684-z","volume":"273","author":"SK Paul","year":"2017","unstructured":"Paul, S. K., Asian, S., Goh, M., & Torabi, S. A. (2017). Managing sudden transportation disruptions in supply chains under delivery delay and quantity loss. Annals of Operations Research, 273, 783\u2013814.","journal-title":"Annals of Operations Research"},{"key":"3182_CR54","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.ejor.2014.02.005","volume":"237","author":"SK Paul","year":"2014","unstructured":"Paul, S. K., Sarker, R., & Essam, D. (2014). Real time disruption management for a two-stage batch production\u2013inventory system with reliability considerations. European Journal of Operational Research, 237, 113\u2013128.","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"3182_CR55","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TEM.2017.2773574","volume":"65","author":"A Pavlov","year":"2018","unstructured":"Pavlov, A., Ivanov, D., Dolgui, A., & Sokolov, B. (2018). Hybrid fuzzy-probabilistic approach to supply chain resilience assessment. IEEE Transactions on Engineering Management, 65(2), 303\u2013315.","journal-title":"IEEE Transactions on Engineering Management"},{"key":"3182_CR56","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.jclepro.2017.05.026","volume":"162","author":"A Rajeev","year":"2017","unstructured":"Rajeev, A., Pati, R. K., Padhi, S. S., & Govindan, K. (2017). Evolution of sustainability in supply chain management: A literature review. Journal of Cleaner Production, 162, 299\u2013314.","journal-title":"Journal of Cleaner Production"},{"issue":"2","key":"3182_CR57","doi-asserted-by":"crossref","first-page":"04016002","DOI":"10.1061\/(ASCE)NH.1527-6996.0000212","volume":"17","author":"A Rose","year":"2016","unstructured":"Rose, A., Sue Wing, I., Wei, D., & Wein, A. (2016). Economic impacts of a California tsunami. Natural Hazards Review, 17(2), 04016002.","journal-title":"Natural Hazards Review"},{"issue":"7","key":"3182_CR58","doi-asserted-by":"crossref","first-page":"1970","DOI":"10.1080\/00207543.2016.1249432","volume":"55","author":"T Sawik","year":"2017","unstructured":"Sawik, T. (2017). A portfolio approach to supply chain disruption management. International Journal of Production Research, 55(7), 1970\u20131991.","journal-title":"International Journal of Production Research"},{"key":"3182_CR59","doi-asserted-by":"crossref","first-page":"1513","DOI":"10.1016\/j.dss.2012.05.053","volume":"54","author":"S Seuring","year":"2013","unstructured":"Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54, 1513\u20131520.","journal-title":"Decision Support Systems"},{"issue":"2","key":"3182_CR60","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/TEM.2010.2066280","volume":"59","author":"XF Shao","year":"2012","unstructured":"Shao, X. F., & Dong, M. (2012). Supply disruption and reactive strategies in an assemble-to-order supply chain with time-sensitive demand. IEEE Transactions on Engineering Management, 59(2), 201\u2013212.","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"5","key":"3182_CR62","doi-asserted-by":"crossref","first-page":"1025","DOI":"10.1111\/risa.12473","volume":"36","author":"SA Thekdi","year":"2016","unstructured":"Thekdi, S. A., & Santos, J. R. (2016). Supply chain vulnerability analysis using scenario-based input-output modeling: Application to port operations. Risk Analysis, 36(5), 1025\u20131039.","journal-title":"Risk Analysis"},{"key":"3182_CR63","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.tre.2015.03.005","volume":"79","author":"SA Torabi","year":"2015","unstructured":"Torabi, S. A., Baghersad, M., & Mansouri, S. A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22\u201348.","journal-title":"Transportation Research Part E: Logistics and Transportation Review"},{"key":"3182_CR64","unstructured":"UCL. (2017). www.uclholding.ru\/press-center\/data. Accessed on Nov 6, 2017."},{"key":"3182_CR65","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rtbm.2015.08.001","volume":"191","author":"S Vadali","year":"2015","unstructured":"Vadali, S., Chandra, S., Shelton, J., Valdez, A., & Medina, M. (2015). Economic costs of critical infrastructure failure in bi-national regions and implications for resilience building: Evidence from El Paso-Ciudad Juarez. Research in Transportation Business and Management, 191, 15\u201331.","journal-title":"Research in Transportation Business and Management"},{"issue":"7","key":"3182_CR66","doi-asserted-by":"crossref","first-page":"2035","DOI":"10.1080\/00207540903289748","volume":"49","author":"B Vahdani","year":"2011","unstructured":"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\u20132060.","journal-title":"International Journal of Production Research"},{"issue":"2\/3","key":"3182_CR67","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1504\/IJRAM.2011.042118","volume":"15","author":"J Yliskyl\u00e4-Peuralahti","year":"2011","unstructured":"Yliskyl\u00e4-Peuralahti, J., Spies, M., & Tapaninen, U. (2011). Transport vulnerabilities and critical industries: Experiences from a Finnish stevedore strike. International Journal of Risk Assessment and Management, 15(2\/3), 222\u2013240.","journal-title":"International Journal of Risk Assessment and Management"},{"key":"3182_CR68","first-page":"17","volume":"91","author":"Y Zhang","year":"2016","unstructured":"Zhang, Y., & Lam, J. S. L. (2016). Estimating economic losses of industry clusters due to port disruptions. Transportation Research Part A: Policy and Practice, 91, 17\u201333.","journal-title":"Transportation Research Part A: Policy and Practice"},{"key":"3182_CR69","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1425014","author":"Z Zhu","year":"2018","unstructured":"Zhu, Z., Chu, F., Dolgui, A., Chu, C., Zhou, W., & Piramuthu, S. (2018). Recent advances and opportunities in sustainable food supply chain: A model-oriented review. International Journal of Production Research. https:\/\/doi.org\/10.1080\/00207543.2018.1425014.","journal-title":"International Journal of Production Research"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-019-03182-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-019-03182-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-019-03182-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T10:16:47Z","timestamp":1751019407000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-019-03182-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,5]]},"references-count":62,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["3182"],"URL":"https:\/\/doi.org\/10.1007\/s10479-019-03182-6","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,5]]},"assertion":[{"value":"5 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}