Review of quantitative methods for supply chain resilience analysis

Seyedmohsen Hosseini1, Dmitry Ivanov2, Alexandre Dolgui3
1Industrial Engineering Technology, University of Southern Mississippi, 730 East Beach Boulevard, Long Beach, MS, USA
2Supply Chain Management, Berlin School of Economics and Law, Berlin, Germany
3Automation, Production and Computer Sciences Dept., IMT Atlantique LS2N - CNRS UMR 6004, La Chantrerie, France

Tài liệu tham khảo

Amindoust, 2018, A resilient-sustainable based supplier selection model using a hybrid intelligent method, Comput. Ind. Eng., 126, 122, 10.1016/j.cie.2018.09.031 Barker, 2010, Measuring the efficacy of inventory with a dynamic input-output model, Int. J. Prod. Econom., 126, 130, 10.1016/j.ijpe.2009.08.011 Barroso, A., Machado, H., Cruz-Machado, V., 2011. The resilience paradigm in the supply chain management: a case study. In: Proceedings of the IEEE, pp. 928–932. BBC News, 2011. Japan disaster: Supply shortages in three months. http://www.bbc.com/news/business-12782566. Bicer, 2015, Dual sourcing under heavy-tailed demand: An extreme value theory approach, Int. J. Prod. Res., 53, 4979, 10.1080/00207543.2015.1008111 Biringer, 2013 Blackhurst, 2011, An empirically derived framework of global supply resiliency, J. Bus. Logist., 32, 347, 10.1111/j.0000-0000.2011.01032.x Bllomberg, 2011. https://www.bloomberg.com/news/articles/2014-06-12/boeing-hands-21-of-777x-plane-s-parts-to-japanese-companies. Blome, 2013, Antecedents and enablers of supply chain agili-ty and its effect on performance, Int. J. Prod. Res., 51, 1295, 10.1080/00207543.2012.728011 Bode, 2017, Stages of supply chain disruption response: direct, constraining, and mediating factors for impact mitigation, Decision Sci., 48, 836, 10.1111/deci.12245 Bonanno, 2007, What predicts psychological resilience after disaster? The role of demographics, resources and life stress, J. Consult. Clin. Psychol., 75, 671, 10.1037/0022-006X.75.5.671 Bonanno, 2005, Resilience to loss in bereaved spouses, bereaved parents, and bereaved gay man, J. Pers. Soc. Psychol., 88, 827, 10.1037/0022-3514.88.5.827 Brandon-Jones, 2014, A contingent resource-based perspective of supply chain resilience and robustness, J. Supply Chain Manage., 50, 55, 10.1111/jscm.12050 Brusset, 2017, Supply chain capabilities, risks, and resilience, Int. J. Prod. Econ., 184, 59, 10.1016/j.ijpe.2016.09.008 Business Continuity Institute, BCI, 2013. Supply Chain Resilience Report. http://www.bcifiles.com/bci-supply-chain-resilience-2015.pdf. Cao, 2010, Supply chain collaboration: conceptualization and instrument development, Int. J. Prod. Res., 48, 6613, 10.1080/00207540903349039 Cardoso, 2015, Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty, Omega, 56, 53, 10.1016/j.omega.2015.03.008 Carvalho, 2012, Agile and resilient approaches to supply chain management: influence on performance and competitiveness, Logist. Res., 4, 49, 10.1007/s12159-012-0064-2 Chakraborty, T., Chauhan, S.S., Ouhimmou, M., 2016. Mitigating Supply Disruption with Backup Supplier under Uncertain Demand: Competition and Cooperation. Chen, 2016 Chen, C., Zhang, J., Vogeley, M.S., 2009. Visual analysis of scientific discoveries and knowledge diffusion. Chen, 2016, Bibliometric and visualized analysis of energy research, Ecol. Eng., 90, 285, 10.1016/j.ecoleng.2016.01.026 Choi, 2017, Advances in risk analysis with big data, Risk Anal., 37, 1435, 10.1111/risa.12859 Choi, 2017, Recent development in big data analytics for business operations and risk management, IEEE Trans. Cybernet., 47, 81, 10.1109/TCYB.2015.2507599 Chopra, S., Sodhi, M.S., 2014. Reducing the risk of supply chain disruptions. MIT Sloan Management Review, Spring, 2014. Chowdhury, 2017, Supply chain resilience: conceptualization and scale development using dynamic capability theory, Int. J. Prod. Econ., 188, 185, 10.1016/j.ijpe.2017.03.020 Christopher, 2011, Supply chain 2.0: managing SCs in era of turbulence, Int. J. Phys. Distrib. Logist. Manage., 41, 63, 10.1108/09600031111101439 Christopher, 2004, Mitigating supply chain risk through improved confidence, Int. J. Phys. Distrib. Logist. Manage., 34, 388, 10.1108/09600030410545436 Christopher, 2004, Building the resilient supply chain, Int. J. Logist. Manage., 15, 1, 10.1108/09574090410700275 Christopher, 2004, Creating supply chain resilience through agile six sigma, Crit. Eye, 24 Closs, D., McGarrell, E., 2004. Enhancing security throughout the supply chain. IBM Center for the Business of Government, Special Report Series, pp. 1–52. http://www.businessofgovernment.org. Datta, 2007, Agent-based modeling of complex production/distribution systems to improve resilience, Int. J. Logist. Res. Appl., 10, 187, 10.1080/13675560701467144 Dixit, 2016, Performance measures based optimization of supply network resilience: A NSGA-II + Co-kriging approach, Comput. Ind. Eng., 93, 205, 10.1016/j.cie.2015.12.029 Dolgui, 2018, Ripple effect in the supply chain: an analysis and recent literature, Int. J. Prod. Res., 56, 414, 10.1080/00207543.2017.1387680 Dubey, 2018, Supply chain agility, adaptability and alignment: empirical evidence from the Indian auto components industry, Int. J. Operat. Prod. Manage., 38, 129, 10.1108/IJOPM-04-2016-0173 Dubey, 2017, Antecedents of resilient supply chains: an empirical study, IEEE Trans. Eng. Manage., 99, 1 Duhadway, 2018, Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery, Ann. Oper. Res., 1 Elluru, 2017, Proactive and reactive models for disaster resilient supply chain, Ann. Oper. Res., 1 Erol, 2010, A framework for investigation into extended enterprise resilience, Enterprise Inform. Syst., 4, 111, 10.1080/17517570903474304 Fahimnia, 2016, Marrying supply chain sustainability and resilience: A match made in heaven, Transport. Res.-Part E, 91, 306, 10.1016/j.tre.2016.02.007 Fahimnia, 2015, Green supply chain management: A review and bibliometric analysis, Int. J. Prod. Econ., 162, 101, 10.1016/j.ijpe.2015.01.003 Fahimnia, 2015, Quantitative models for managing supply chain risks: A review, Eur. J. Oper. Res., 247, 1, 10.1016/j.ejor.2015.04.034 Fahimnia, 2018, Greening versus resilience: A supply chain design perspective, Transport. Res.- Part E, 119, 129, 10.1016/j.tre.2018.09.005 Faisal, 2010, Sustainable SCs: a study of interaction among the enablers, Bus. Process Manage. J., 16, 508, 10.1108/14637151011049476 Falasca, M., Zobel, C., Cook. D., 2008. A decision support framework to assess supply chain resilience. In: Fiedrich, F., Van de Walle, B. (Eds.), Proceeding of the 5th International ISCRAM Conference, Washington, DC, USA, pp. 596–605. Fiksel, 2003, Designing resilient, sustainable systems, Environ. Sci. Technol., 37, 5330, 10.1021/es0344819 Francis, 2008, Supply chain visibility: lost in translation?, Supply Chain Manage.: Int. J., 13, 180, 10.1108/13598540810871226 Gaonkar, 2007, Analytical framework for the management of risk in SCs, IEEE Trans. Automation Sci. Eng., 4, 265, 10.1109/TASE.2006.880540 Garcia-Herreros, 2014, Design of resilient supply chains with risk of facility disruptions, Ind. Eng. Chem. Res., 53, 17240, 10.1021/ie5004174 Garvey, 2015, An analytical framework for supply network risk propagation: A Bayesian network approach, Eur. J. Oper. Res., 243, 618, 10.1016/j.ejor.2014.10.034 Govindan, 2016, Optimal bi-objective redundancy allocation for systems reliability and risk management, IEEE Trans. Cybern., 46, 1735, 10.1109/TCYB.2014.2382666 Guoping, C., Xinqiu, Z., 2010. Research on supply chain resilience evaluation. In: Proceedings of the 7th International Conference on Innovation & Management, pp. 1558–1562. Gupta, 2015, Contingent sourcing under supply disruption and competition, Int. J. Prod. Res., 53, 3006, 10.1080/00207543.2014.965351 Haimes, 2006, On the definition of vulnerabilities in measuring risks to infrastructures, Risk Anal., 26, 293, 10.1111/j.1539-6924.2006.00755.x Haimes, 2008, Homeland security preparedness: Balancing protection with resilience in emergent systems, Syst. Eng., 11, 287, 10.1002/sys.20101 Hartvisgen, 1998, Complex adaptive systems: Use and analysis of complex adaptive systems in ecosystem science: overview of special section, Ecosystems, 1, 427, 10.1007/s100219900036 Hasani, 2016, Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study, Transp. Res. Part E, 87, 20, 10.1016/j.tre.2015.12.009 HBS, 2017. Will Typhoons in Southeast Asia Stop You from Staying Hydrated This Summer? https://rctom.hbs.org/submission/will-typhoons-in-southeast-asia-stop-you-from-staying-hydrated-this-summer/ (accessed 05.01.18). He, 2018, A real-option approach to mitigate disruption risk in the supply chain, Omega: Int. J. Manage. Sci., 10.1016/j.omega.2018.08.008 Ho, 2010, Multi-criteria decision making approaches for supplier evaluation and selection: a literature review, Eur. J. Oper. Res., 202, 16, 10.1016/j.ejor.2009.05.009 Ho, 2015, Supply chain risk management: a literature review, Int. J. Prod. Res., 53, 5031, 10.1080/00207543.2015.1030467 Hollnagel, E., 2006. Achieving system safety by resilience engineering. In: The 1st IET International Conference on System Safety, June 6–8, London, UK, pp. 184–195. Hosseini, 2016, A Bayesian network model for resilience-based supplier selection, Int. J. Prod. Econ., 180, 68, 10.1016/j.ijpe.2016.07.007 Hosseini, 2016, Modeling infrastructure resilience using Bayesian networks: a case study of Inland waterway ports, Comput. Ind. Eng., 93, 252, 10.1016/j.cie.2016.01.007 Hosseini, 2016, A review of definitions and measure of system resilience, Reliab. Eng. Syst. Saf., 145, 47, 10.1016/j.ress.2015.08.006 Hosseini, 2016, A hybrid ensemble AHP approach for resilient supplier selection, J. Intell. Manuf., 1 Hosseini, 2016, A general framework for assessing system resilience using Bayesian networks: A case study of sulfuric acid manufacturer, J. Manuf. Syst., 41, 211, 10.1016/j.jmsy.2016.09.006 Hosseini, S., Morshedlou, N., Ivanov, D., Sarder, M.D., Barker, K., Al Khaled, A., 2019. Resilient supplier selection and optimal order allocation under disruption risks. In revisions at International Journal of Production Economics. Huffington Post, 2015. Toyota among Japanese automaker extending plant closures. http://www.huffingtonpost.com/2011/03/16/japans-auto-plant-closures_n_836653.html. Ivanov, 2017, Simulation-based ripple effect modelling in the supply chain, Int. J. Prod. Res., 55, 2083, 10.1080/00207543.2016.1275873 Ivanov, 2017, Simulation-based single vs dual sourcing analysis in the supply chain with con-sideration of capacity disruptions, Big Data and demand patterns, Int. J. Integrated Supply Manage., 11, 24, 10.1504/IJISM.2017.083005 Ivanov, 2018, Revealing interfaces of supply chain resilience and sustainability: a simulation study, Int. J. Prod. Res., 56, 3507, 10.1080/00207543.2017.1343507 Ivanov, 2018 Ivanov, 2019, Low-Certainty-Need (LCN) Supply Chains: A new perspective in managing disruption risks and resilience, Int. J. Prod. Res., 1, 10.1080/00207543.2019.1634850 Ivanov, 2013, Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis, and adaptation of performance under uncertainty, Eur. J. Oper. Res., 224, 313, 10.1016/j.ejor.2012.08.021 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. Ann. Operat. Res., published online. Ivanov, 2014, The ripple effect in SCs: trade-off ‘efficiency-flexibility-resilience’s in disruption management, Int. J. Prod. Res., 52, 2154, 10.1080/00207543.2013.858836 Ivanov, 2014, Optimal distribution (re)planning in a centralized multi-stage network under conditions of ripple effect and structure dynamics, Eur. J. Oper. Res., 237, 758, 10.1016/j.ejor.2014.02.023 Ivanov, 2016, Disruption-driven supply chain (re)-planning and performance impact assessment with consideration of pro-active and recovery policies, Transp. Res. Part E, 90, 7, 10.1016/j.tre.2015.12.007 Ivanov, 2016, A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0, Int. J. Prod. Res., 54, 386, 10.1080/00207543.2014.999958 Ivanov, 2017, Minimization of disruption-related return flows in the supply chain, Int. J. Prod. Econ., 183, 503, 10.1016/j.ijpe.2016.03.012 Ivanov, 2017, Literature review on disruption recovery in the supply chain, Int. J. Prod. Res., 55, 6158, 10.1080/00207543.2017.1330572 Ivanov, 2018, Special issue on new flexibility drivers in manufacturing, service, and supply chain systems, Int. J. Prod. Res., 56, 10.1080/00207543.2018.1457813 Ivanov, 2019, The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics, Int. J. Prod. Res., 57, 829, 10.1080/00207543.2018.1488086 Jabarzadeh, 2018, Resilient and sustainable supply chain design: sustainability analysis under disruption risks, Int. J. Prod. Res., 10.1080/00207543.2018.1461950 Jain, 2008, A new approach for evaluating agility in SCs using fuzzy association rules mining, Eng. Appl. Artif. Intell., 46, 367, 10.1016/j.engappai.2007.07.004 Juttner, 2011, Supply chain resilience in the global financial crisis: an empirical study, Supply Chain Manage., 16, 246, 10.1108/13598541111139062 Käki, 2015, Disruptions in supply networks: A probabilistic risk assessment approach, J. Bus. Logist.*, 36, 273, 10.1111/jbl.12086 Kamalahmadi, 2016, A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research, Int. J. Prod. Econ., 171, 116, 10.1016/j.ijpe.2015.10.023 Kamalahmadi, 2017, An assessment of supply chain disruption mitigation strategies, Int. J. Prod. Econ., 184, 210, 10.1016/j.ijpe.2016.12.011 Kamalahmadi, 2015, Developing a resilient supply chain through supplier flexibility and reliability assessment, Int. J. Prod. Res., 302 Kaur, 2016, Sustainable procurement and logistics for disaster resilient supply chain, Ann. Oper. Res., 1 Kerkhoff, 2007, The implications of scaling approaches for understanding resileince and reorganization in ecosystems, Bioscience, 57, 489, 10.1641/B570606 Khaled, 2015, Train design and routing optimization for evaluating criticality of freight railroad infrastructures, Transp. Res. Part B, 71, 71, 10.1016/j.trb.2014.10.002 Khalili, 2016, Integrated production-disruption planning in two-echelon systems: a resilience view, Int. J. Prod. Res., 55, 2017 Kim, 2015, Supply network distribution and resilience: a network structural perspective, J. Oper. Manage., 33, 43, 10.1016/j.jom.2014.10.006 Kull, 2008, A supply risk reduction model using integrated multi-criteria decision making, IEEE Trans. Eng. Manage., 55, 409, 10.1109/TEM.2008.922627 Li, 2017, Enhancement of supply chain resilience through inter-echelon information sharing, Flexible Services Manuf., 29, 260, 10.1007/s10696-016-9249-3 Lima-junior, 2016, A multicriteria approach based on fuzzy QFD for choosing criteria for supplier selection, Comput. Ind. Eng., 101, 269, 10.1016/j.cie.2016.09.014 Liu, 2018, Supply chain resilience, firm performance, and management policies in the liner shipping industry, Transport. Res. Part A: Policy Practice, 110, 202 Liu, T., Lee Lam, 2013. Impact of port disruption on transportation network. Longo, F., Oren, T., 2008. Supply chain vulnerability and resilience: A case study of the art overview. In: Giovani Campora S. (Ed.), Proceedings of European Modeling & Simulation Symposium, September 17-19, Italy. Lücker, 2017, Building up resilience in a pharmaceutical supply chain through inventory, dual sourcing and agility capacity, Omega, 73, 114, 10.1016/j.omega.2017.01.001 Lücker, 2018, Roles of inventory and reserve capacity in mitigating supply chain disruption risk, Int. J. Prod. Res. Luxburg, 2006 Mancheri, 2018, Resilience in the tantalum supply chain, Resour. Conserv. Recycl., 129, 56, 10.1016/j.resconrec.2017.10.018 Mandal, 2016, Int. J. Disaster Resilience Built Environ., 7, 544, 10.1108/IJDRBE-04-2016-0010 Margolis, 2018, A multi-objective optimization model for designing resilient supply chain networks, Int. J. Prod. Econ., 204, 174, 10.1016/j.ijpe.2018.06.008 Meena, 2013, Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach, Transport. Res. Part E: Logist. Transport. Rev., 50, 84, 10.1016/j.tre.2012.10.001 Millar, M., 2015. Global Supply Chain Ecosystems, Strategic for competitive advantage in a complex, connected world. CPI Group (UK), Ltd. 1st Edition. Mogre, 2016, A decision framework to mitigate supply chain risks: an application in the offshore-wind industry, IEEE Trans. Eng. Manage., 63, 316, 10.1109/TEM.2016.2567539 Mohammed, 2019, A hybrid MCDM-fuzzy multi-objective programming approach for a G-resilient supply chain network design, Comput. Ind. Eng., 127, 297, 10.1016/j.cie.2018.09.052 Morshedlou, 2018, Work crew routing problem for infrastructure network restoration, Transport. Res. Part B, 118, 66, 10.1016/j.trb.2018.10.001 Mizgier, 2017, Multiobjective capital allocation for supplier development under risk, Int. J. Prod. Res., 55, 5243, 10.1080/00207543.2017.1302618 Namdra, 2017, Supply chain resilience for single and multiple sourcing in the presence of disruption risks, Int. J. Prod. Res., 1 Ni, 2018, Modeling the impact of unmet demand in supply chain resiliency planning, Omega, 86, 1, 10.1016/j.omega.2017.08.019 Ojha, 2018, Bayesian network modeling for supply chain risk propagation, Int. J. Prod. Res., 56, 1, 10.1080/00207543.2018.1467059 Pettit, 2013, Ensuring supply chain resilience: development and implementation of an assessment tool, J. Bus. Logist.*, 34, 46, 10.1111/jbl.12009 Pettit, 2010, Ensuring supply chain resilience: development of a conceptual frame work, J. Bus. Logist.*, 31, 1, 10.1002/j.2158-1592.2010.tb00125.x Pires Riberio, 2018, Supply chain resilience: definitions and quantitative modeling approaches- A literature review, Comput. Ind. Eng., 115, 109, 10.1016/j.cie.2017.11.006 Poins, 2012, Supply chain resilience: definition of concept and its formative elements, J. Appl. Bus. Res., 28, 921, 10.19030/jabr.v28i5.7234 Ponomarov, 2009, Understanding the concept of supply chain resilience, Int. J. Logist. Manage., 20, 124, 10.1108/09574090910954873 Ponomarov. S., 2012. Antecedents and consequences of supply chain resilience: a dynamic capabilities perspective. PhD dissertation University of Tennessee-USA. Pramanik, 2017, Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment, Int. J. Manage. Sci. Eng. Manage., 12, 45 Qazi, 2018, Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks, Int. J. Prod. Econ., 196, 24, 10.1016/j.ijpe.2017.11.008 Qazi, 2017, Exploring dependency based probabilistic supply chain risk measures for prioritizing interdependent risks and strategies, Eur. J. Operat. Res., 259, 189, 10.1016/j.ejor.2016.10.023 Reuters, 2011. http://www.reuters.com/article/us-japan-supplychain-idUSTRE72M21J20110323. Reyes Levalle, 2015, A resilience by teaming framework for collaborative supply networks, Comput. Ind. Eng., 90, 67, 10.1016/j.cie.2015.08.017 Reyes Levalle, 2015, Resilience by teaming in supply network formation and re-configuration, Int. J. Prod. Econ., 160, 80, 10.1016/j.ijpe.2014.09.036 Rezapour, 2018, Optimal deployment of emergency resources in sudden onset disasters, Int. J. Prod. Econ., 24, 365, 10.1016/j.ijpe.2018.08.014 Roberta Peria, 2014, Achieving supply chain resilience: the role of procurement, Supply Chain Manage.: Int. J., 626, 10.1108/SCM-09-2013-0346 Rice, 2003, Building a secure and resilient supply network, Supply Chain Manage. Rev., 7, 22 Rose, 2007, Economic resilience to natural and man-made disaster: multidisciplinary origins and contextual dimensions, Environ. Hazards, 7, 383, 10.1016/j.envhaz.2007.10.001 Sadghiani, 2015, Retail supply chain network design under operational and disruption risks, Transport. Res. Part E: Logist. Transport. Rev., 75, 95, 10.1016/j.tre.2014.12.015 Saenz, J., Revilla, E., 2014. Creating more resilient SCs. MIT Sloan Management Review Summer 2014, pp. 22–24. Sabouhi, 2018, Resilient supply chain design under operational and disruption risks considering quality discount: A case study of pharmaceutical supply chain, Comput. Ind. Eng., 126, 657, 10.1016/j.cie.2018.10.001 Saghafian, 2012, The value of flexible backup suppliers and disruption risk information: newsvendor analysis with resource, IIE Trans., 44, 834, 10.1080/0740817X.2012.654846 Saghafian, 2016, Compensating for dynamic supply disruptions: backup flexibility design, Operat. Res., 64, 390, 10.1287/opre.2016.1478 Sahebjamnia, 2018, Building organizational resilience in the face of multiple disruptions, Int. J. Prod. Econ., 197, 63, 10.1016/j.ijpe.2017.12.009 Sahebjamnia, 2015, Integrated business continuity and disaster recovery planning: toward organizational resilience, Eur. J. Operat. Res., 242, 261, 10.1016/j.ejor.2014.09.055 Sawik, 2011, Selection of supply portfolio under disruption risks, Omega, 39, 194, 10.1016/j.omega.2010.06.007 Sawik, 2013, Selection and protection of suppliers in a supply chain with disruption risks, Int. J. Logist. Syst. Manage., 15, 143, 10.1504/IJLSM.2013.053763 Sawik, 2018, Two-period vs. multi-period model for supply chain disruption management, Int. J. Prod. Res., 10.1080/00207543.2018.1504246 Scholten, 2015, The role of collaboration in supply chain resilience, Supply Chain Manage.: Int. J., 20, 471, 10.1108/SCM-11-2014-0386 Sheffi, 2005, A supply chain view of the resilient enterprise, MIT Sloan Manage. Rev., 47, 41 Shi, 2000, Normalized cuts and image segmentation, IEEE Trans. Pattern Anal. Mach. Intell., 22, 888, 10.1109/34.868688 Snyder, 2016, OR/MS models for supply chain disruptions: A review, IIE Trans., 48, 89, 10.1080/0740817X.2015.1067735 Soni, 2014, Measuring supply chain resilience using a deterministic modeling approach, Comput. Ind. Eng., 74, 11, 10.1016/j.cie.2014.04.019 Spiegler, 2012, A control engineering approach to the assessment of supply chain resilience, Int. J. Prod. Res., 50, 6162, 10.1080/00207543.2012.710764 Tang, 2006, Perspectives in supply chain risk management, Int. J. Prod. Econ., 103, 451, 10.1016/j.ijpe.2005.12.006 Tang, 2006, Robust strategies for mitigating supply chain disruptions, Int. J. Logist., 9, 33, 10.1080/13675560500405584 Tomlin, 2006, On the value of mitigation and contingency strategies for man- aging supply chain disruption risks, Manage. Sci., 52, 639, 10.1287/mnsc.1060.0515 Torabi, 2015, Resilient supplier selection and order allocation under operational and disruption risks, Transport. Res. – Part E, 79, 22, 10.1016/j.tre.2015.03.005 Tukamuhabwa, 2015, Supply chain resilience: definitions, review and theoretical foundations for future study, Int. J. Prod. Res., 53, 5592, 10.1080/00207543.2015.1037934 Turnquist, 2013, Design for resilience in infrastructure distribution networks, Environ. Syst. Decisions, 33, 104, 10.1007/s10669-012-9428-z Wang, 2016, Contingent rerouting for enhancing supply chain resilience from supplier behavior perspective, Int. Trans. Operat. Res., 23, 775, 10.1111/itor.12151 Wang, 2018, Management of a holistic supply chain network for proactive resilience: Theory and case study, Comput. Ind. Eng., 125, 668, 10.1016/j.cie.2017.12.021 Webb, 2007, What is the role of ecology in understanding ecosystem resilience, Bioscience, 57, 470, 10.1641/B570602 Wieland, 2013, The influence of rational competencies on supply chain resilience: a relational view, Int. J. Phys. Distrib. Logist. Manage., 43, 300, 10.1108/IJPDLM-08-2012-0243 Xiang, 2017, A scientometrics review on nonpoint source pollution research, Ecol. Eng., 99, 400, 10.1016/j.ecoleng.2016.11.028 Yang, 2016, Information management strategies and supply chain performance under demand disruptions, Int. J. Prod. Res., 54, 8, 10.1080/00207543.2014.991456 Yang, 2009, Supply disruptions, asymmetric information, and a backup production option, Manage. Sci., 55, 192, 10.1287/mnsc.1080.0943 Yildiz, 2016, Reliable supply chain network design, Decision Sci., 47, 661, 10.1111/deci.12160 Yu, 2017, Mapping research and carbon emissions trading: a co-citation analysis, Renew. Sustain. Energy Rev., 74, 1314, 10.1016/j.rser.2016.11.144 Yoon, 2016, Risk management strategies in transportation capacity decisions: an analytical approach, J. Bus. Logist.*, 37, 364, 10.1111/jbl.12144 Yoon, 2018, Models for Supplier Selection and Risk Mitigation: A Holistic Approach, Int. J. Prod. Res., 56, 3636, 10.1080/00207543.2017.1403056 Zhang, 2015, A metaheuristic approach to the reliable location routing problem under disruption, Transport. Res. Part E: Logist. Transport. Rev., 83, 90, 10.1016/j.tre.2015.09.001