Supply Chain Resilience in a Pandemic: The Need for Revised Contingency Planning
Abstract
Organizations have worked over the years to develop efficiencies to their supply chains, which includes efforts to reduce waste, lower costs, consolidate suppliers and distributors, better manage costs of goods sold and inventory, develop efficiencies in packaging, storage, and shipping of product, as well as utilizing digital analytics to manage consumer choices and demands. These are all by-products of world-class manufacturing which have promoted systematic organizational and supply chain efficiencies. However, under economic shocks that are sustained over longer periods of time (e.g., Covid-19 Pandemic) and that affect supply chains from a variety of disruptions, a supply chain that is not prepared or adaptable may be broken or at a minimum weigh down the organization. Therefore, the ability to manage and control risk is a key aspect of effective supply chain management. However, the literature on pandemic risk mitigation is nascent. Thus, this paper offers a review of the extant literature, provides a strategic mitigation model covering five dimensions: leadership, preparedness, digitalization, resilience, and pivoting. These dimensions are designed to help organizations in the future to be more adaptive to events such as global pandemics and other large-scale disruptions and discuss implications for future research.References
Alicke, K., Gupta, R., & Trautwein, V. (2020). The coronavirus pandemic’s unprecedented tests are inspiring companies to consider bold moves in rebuilding their supply chains for the future. Retrieved September 20, 2020, from https://www.mckinsey.com/business-functions/operations/our-insights/resetting-supply-chains-for-the-next-normal#
Anthony Jnr, B., & Abbas Petersen, S. (2020). Examining the digitalization of virtual enterprises amidst the COVID-19 pandemic: a systematic and meta-analysis. Enterprise Information Systems, 1-34. https://doi.org/10.1080/17517575.2020.1829075
Araz, O.M., Choi, T.M., Olson, D., & Salman, F.S. (2020). Data analytics for operational risk management. Decision Sciences. 51(6), 1316-1319. https://doi.org/10.1111/deci.12443
Aviv, Y. (2001). The effect of collaborative forecasting on supply chain performance. Management Science, 47(10), 1326-1343.
Azadegan, A., & Jayaram, J. (2018). Resiliency in Supply Chain Systems: A Triadic Framework Using Family Resilience Model. In Y. Khojasteh (ed.), Supply Chain Risk Management, Singapore: Springer.
Baumgartner, T., Malik, Y., & Padhi, A. (August 12, 2020). Reimagining industrial supply chains. McKinsey and Company. Retrieved on November 27, 2020, from https://www.mckinsey.com/industries/advanced-electronics/our-insights/reimagining-industrial-supply-chains
Blackhurst, J.V., Scheibe, K.P., & Johnson, D.J. (2008). Supplier risk assessment and monitoring for the automotive industry. International Journal of Physical Distribution and Logistics Management, 38, 143–165.
Bogataj, D., & Bogataj, M. (2007). Measuring the supply chain risk and vulnerability in frequency space. International Journal of Production Economics, 108, 291–301.
Brandon-Jones, E., Squire, B., & Van Rossenberg, Y.G. (2015). The impact of supply base complexity on disruptions and performance: the moderating effects of slack and visibility. International Journal of Production Research, 53(22), 6903-6918.
Bratianu, C., & Bejinaru, R. (2020). Knowledge dynamics: a thermodynamics approach. Kybernetes, 49(1), 6-21. https://doi.org/10.1108/K-02-2019-0122
Bratianu, C., & Vatamanescu, E.M. (2017). Students’ perception in developing generic skills for business: a knowledge approach. VINE Journal of Information and Knowledge Management Systems, 47(4), 490-505. https://doi.org/10.1108/VJKMS-11-2016-0065
Brennen, S., & Kreiss, D. (2014). Digitalization and digitization. Culture digitally, September 8. Retrieved from https://culturedigitally.org/2014/09/digitalization-and-digitization/.
Busse, C., Kach, A.P., & Bode, C. (2016). Sustainability and the false sense of legitimacy: How institutional distance augments risk in global supply chains. Journal of Business Logistics, 37(4), 312-328. https://doi.org/10.1111/jbl.12143
Carpenter, S., Walker, B., Anderies, J., & Abel, N. (2001). From Metaphor to Measurement: Resilience of What to What?. Ecosystems, 4(8), 765–81.
Chen, I.J. (2001). Planning for ERP systems: analysis and future trend. Business Process Management Journal, 7(5), 374-386. https://doi.org/10.1108/14637150110406768
Chew, D.S.H., Choi, K.P., Heidner, H., & Leung, M.Y. (2004). Palindromes in SARS and other coronaviruses. INFORMS Journal on Computing, 16(4), 331–340. https://doi.org/10.1287/ijoc.1040.0087
Choi, T.M., Guo, S., & Luo, S. (2020). When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?. Transportation Research Part E: Logistics and Transportation Review, 135, 101860.
Chopra, S., & Sodhi, M. S. (2004). Supply-chain breakdown. MIT Sloan Management Review, 46(1), 53-61.
Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. International Journal of Logistics Management, 15(2), 1–13.
Closs, D.J., & McGarrell, E.F. (2004). Enhancing security throughout the supply chain (pp.10-12). Washington, DC: IBM Center for the Business of Government.
Coker, R., Rushton, J., Mounier-Jack, S., Karimuribo, E., Lutumba, P., Kambarage, D., & Rweyemamu, M. (2011). Towards a conceptual framework to support one-health research for policy on emerging zoonoses. The Lancet Infectious Diseases, 11(4), 326-331.
Cortez, R.M., & Johnston, W.J. (2020). The Coronavirus crisis in B2B settings: Crisis uniqueness and managerial implications based on social exchange theory. Industrial Marketing Management, 88, 125-135. https://doi.org/10.1016/j.indmarman.2020.05.004
Craighead, C.W., Blackhurst, J., Rungtusanatham, M.J., & Handfield, R.B. (2007). The severity of supply chain disruptions: design characteristics and mitigation capabilities. Decision Sciences, 38(1), 131-156.
Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15, 1–13.
Currie, C.S., Fowler, J.W., Kotiadis, K., Monks, T., Onggo, B.S., Robertson, D.A., & Tako, A.A. (2020). How simulation modelling can help reduce the impact of COVID-19. Journal of Simulation, 14(2), 83-97. https://doi.org/10.1080/17477778.2020.1751570
Dolgui, A., Ivanov, D., & Rozhkov, M. (2020). Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain. International Journal of Production Research, 58(5), 1285-1301. https://doi.org/10.1080/00207543.2019.1627438
Eisenhower, D. (1957). A speech to the National Defense Executive Reserve Conference in Washington, DC, November 14, 1957. Public Papers of the Presidents of the United States, Dwight D. Eisenhower, 818.
Fahimnia, B., Pournader, M., Siemsen, E., Bendoly, E., & Wang, C. (2019). Behavioral operations and supply chain management-a review and literature mapping. Decision Sciences, 50(6), 1127-1183. https://doi.org/10.1111/deci.12369
Fiksel, J. (2006). Sustainability and Resilience: Toward a Systems Approach. Sustainability: Science, Practice and Policy, 2(2), 14–21. https://doi.org/10.1080/15487733.2006.11907980
Fisher, M. (1997). What is the right supply chain for your product?. Harvard Business Review, 75(2), 105-116.
Flynn, B.B., Schroeder, R.G., & Sakakibara, S. (1995). The impact of quality management practices on performance and competitive advantage. Decision Sciences, 26(5), 659-691.
Gaur, V., & Gaiha, A. (2020). Building a Transparent Supply Chain Blockchain can enhance trust, efficiency, and speed. Harvard Business Review, 98(3), 94-103.
Georgiadis, P., Vlachos, D., & Tagaras, G. (2006). The impact of product lifecycle on capacity planning of closed‐loop supply chains with remanufacturing. Production and Operations Management, 15(4), 514- 527.
Gereffi, G., & Lee, J. (2012). Why the world suddenly cares about global supply chains. Journal of Supply Chain Management, 48(3), 24-32. https://doi.org/10.1111/j.1745-493X.2012.03271.x
Gilly, J.P., Kechidi, M., & Talbot, D. (2014). Resilience of organisations and territories: The role of pivot firms. European Management Journal, 32(4), 596-602. https://doi.org/10.1016/j.emj.2013.09.004
Golan, M.S., Jernegan, L.H., & Linkov, I. (2020). Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environment Systems & Decisions, 40, 222–243. https://doi.org/10.1007/s10669-020-09777-w
Golicic, S., Flint, D., & Signori, P. (2017). Building Business Sustainability through Resilience in the Wine Industry. International Journal of Wine Business Research, 29(1), 74–97. https://doi.org/10.1108/IJWBR-02-2016-0005
Govindan, K., Azevedo, S., Carvalho, H., & Cruz-Machado, V. (2015). Lean, Green and Resilient Practices Influence on Supply Chain Performance: Interpretive Structural Modeling Approach. International Journal of Environmental Science and Technology, 12(1), 15–34. https://doi.org/10.1007/s13762-013-0409-7
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), 108-141. https://doi.org/10.1016/j.ejor.2017.04.009
Hahn, J. (2015). Report: Wearable device shipments to surpass 214 million in 2019. Digital Trends, December 20. Retrieved from http://www.digitaltrends.com/android/apple-watch-leads-smartwatchmarket-61-percent-share-android-wear-gaining-ground/.
Handfield, R.B., Graham, G., & Burns, L. (2020). Corona virus, tariffs, trade wars and supply chain evolutionary design. International Journal of Operations & Production Management, 40(10), 1649-1660. https://doi.org/10.1108/IJOPM-03-2020-0171
Harland, C., Brenchley, R., & Walker, H. (2003). Risk in supply networks. Journal of Purchasing and Supply Management, 9, 51–62.
Heinonen, K., & Strandvik, T. (2020). Reframing service innovation: COVID-19 as a catalyst for imposed service innovation. Journal of Service Management. ahead-of-print. https://doi.org/10.1108/JOSM-05-2020-0161
Hendricks, K.B., & Singhal, V.R. (2005). An empirical analysis of the effect of supply chain disruptions on long-run stock price performance and equity risk of the firm. Production and Operations Management, 14(1), 35-52.
Hendricks, K.B., Singhal, V.R., & Zhang, R. (2009). The effect of operational slack, diversification, and vertical relatedness on the stock market reaction to supply chain disruptions. Journal of Operations Management, 27(3), 233-246.
Hillman, A.J., Withers, M.C., & Collins, B.J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404-1427.
Holling, C.S. (1973). Resilience and stability of ecological systems. Annual Review of Ecology and Systematics, 4(1), 1-23.
Holling, C.S. (1996). Engineering resilience versus ecological resilience. In P.C. Schulze (Ed.), Engineering within ecological constraints. Washington D.C.: National Academy Press.
Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285-307. https://doi.org/10.1016/j.tre.2019.03.001
Hutchins, G. (1992). Purchasing strategies for total quality: A guide to achieving continuous improvement. Homewood, IL: Irwin.
Ivanov D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation research. Part E, Logistics and transportation review, 136, 101922. https://doi.org/10.1016/j.tre.2020.101922
Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruptions risks and resilience in the era of Industry 4.0. Production Planning and Control. https://doi.org/10.1080/09537 287.2020.1768450.
Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016). A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386-402. https://doi.org/10.1080/00207543.2014.999958
Ivanov, D., & B. Sokolov (2013). Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis, and adaptation of performance under uncertainty. European Journal of Operational Research, 224(2), 313–323. https://doi.org/10.1016/j.ejor.2012.08.021
Jüttner, U., Peck, H., & Christopher, M. (2003). Supply chain risk management: Outlining an agenda for future research. International Journal of Logistics: Research and Applications, 6, 197–210.
Klaus, Ph., & Manthiou, A. (2020). Applying the EEE customer mindset in luxury: reevaluating customer experience research and practice during and after corona. Journal of Service Management, 31(6), 1175-1183. https://doi.org/10.1108/JOSM-05-2020-0159
Klepper, S. (1996). Entry, exit, growth, and innovation over the product life cycle. The American Economic Review, 86(3), 562-583.
Kovach, J.J., Hora, M., Manikas, A., & Patel, P. C. (2015). Firm performance in dynamic environments: The role of operational slack and operational scope. Journal of Operations Management, 37, 1-12.
Kumar, S. (2012). Planning for avian flu disruptions on global operations: A DMAIC case study. International Journal of Health Care Quality Assurance, 25(3), 197-215. http://dx.doi.org.tamusa.idm.oclc.org/10.1108/09526861211210420
Kumar, S.K., Tiwari, M.K., & Babiceanu, R.F. (2010). Minimisation of supply chain cost with embedded risk using computational intelligence approaches. International Journal of Production Research, 48(13), 3717–3739.
Lee, H.L., Padmanabhan, V., & Whang, S. (1997). Information distortion in a supply chain: The bullwhip effect. Management Science, 43(4), 546-558.
Lin, F.R., & Shaw, M.J. (1998). Reengineering the order fulfillment process in supply chain networks. International Journal of Flexible Manufacturing Systems, 10(3), 197-229.
Lin, Y., & Zhou, L. (2011). The impacts of product design changes on supply chain risk: A case study. International Journal of Physical Distribution and Logistics Management, 41, 162–186.
Linkov, I., & Florin, M. (eds.) (2016). IRGC Resource Guide on Resilience. Lausanne, CH: International Risk Governance Center. Retrieved September 2020 from https://www.irgc.org/riskgovernance/resilience/.
Liu, Z.G., & Nagurney, A. (2011). Supply chain outsourcing under exchange rate risk and competition. Omega, 39, 539–549.
MacCarthy, B.L., Blome, C., Olhager, J., Srai, J.S., & Zhao, X. (2016). Supply chain evolution–theory, concepts and science. International Journal of Operations & Production Management, 36(12), 1696-1718. https://doi.org/10.1108/IJOPM-02-2016-0080
Manuj, I., & Mentzer, J.T. (2008). Global supply chain risk management strategies. International Journal of Physical Distribution and Logistics Management, 38, 192–223.
March, J.G., & Shapira, Z. (1987). Managerial perspectives on risk and risk taking. Management Science, 33(11), 1404-1418.
Marsden, T., Banks, J., & Bristow, G. (2000). Food supply chain approaches: exploring their role in rural development. Sociologia Ruralis, 40(4), 424-438.
Morgan, T., Anokhin, S., Ofstein, L., & Friske, W. (2020). <? covid19?> SME response to major exogenous shocks: The bright and dark sides of business model pivoting. International Small Business Journal, 38(5), 369-379.
Nigmatulina, K.R., & Larson, R.C. (2009). Living with infuenza: Impacts of government imposed and voluntarily selected interventions. European Journal of Operational Research, 195(2), 613–627. https://doi.org/10.1016/j.ejor.2008.02.016
Nishiguchi, T. (1994). Strategic industrial sourcing: The Japanese advantage. New York, NY: Oxford University Press.
Olson, D. L., & Wu, D. D. (2010). A review of enterprise risk management in supply chain. Kybernetes, 39, 694–706.
Paul, S., & Venkateswaran, J. (2020). Designing robust policies under deep uncertainty for mitigating epidemics. Computers & Industrial Engineering, 140, 106221. https://doi.org/10.1016/j.cie.2019.106221
Paulraj, A., & Chen, I.J. (2007). Strategic buyer–supplier relationships, information technology and external logistics integration. Journal of Supply Chain Management, 43(2), 2-14.
Pavlov, A., Ivanov, D., Pavlov, D., & Slinko, A. (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research, 1-30. https://doi.org/10.1007/s10479-019-03182-6
Pettit, T.J., Croxton, K.L., & Fiksel, J. (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56-65. https://doi.org/10.1111/jbl.12202
Ponomarov, S.Y., & Holcomb, M.C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management.
Pournader, M., Rotaru, K., Kach, A., & Hajiagha, S. (2016). An Analytical Model for System-Wide and Tier-Specific Assessment of Resilience to Supply Chain Risks. Supply Chain Management: An International Journal, 21(5), 589–609. https://doi.org/10.1108/SCM-11-2015-0430
Prasad, E., & Wu, E (2020). April 2020 update to TIGER. The coronavirus collapse is upon us. Retrieved September 20, 2020, from https://www.brookings.edu/research/april-2020-update-to-tiger-the-coronavirus-collapse-is-upon-us/.
Queiroz, M.M., Ivanov, D., Dolgui, A., & Wamba, S.F. (2020). Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Annals of Operations Research, 1-38. https://doi.org/10.1007/s10479-020-03685-7
Ravindran, A.R., Bilsel, R.U., Wadhwa, V., & Yang, T. (2010). Risk adjusted multicriteria supplier selection models with applications. International Journal of Production Research, 48, 405–424.
Reynolds, J.G., & Warfield, W.H. (2010). Discerning the differences between managers and leaders. The Education Digest, 75(7), 61.
Russo, B., Sun-Basorun, A., & Van Wamelen, A. (2012). The rise of the African consumer. McKinsey Global Institute, McKinsey Report, October 2012.
Sarkar, A., & Mohapatra, P.K. (2006). Evaluation of supplier capability and performance: A method for supply base reduction. Journal of Purchasing and supply management, 12(3), 148-163.
Sawik, T. (2011). Selection of supply portfolio under disruption risks. Omega, 39(2), 194-208.
Schatteman, O., Woodhouse, D., & Terino, J. (2020). Supply chain lessons from Covid‐19: Time to refocus on resilience. Bain & Company, Inc., Boston, MA. 1-12. Retrieved on November 27, 2020, from https://www.bain.com/insights/supply-chain-lessons-from-covid-19/.
Scholten, K., Stevenson, M., & van Donk, D.P. (2019). Dealing with the unpredictable: supply chain resilience. International Journal of Operations & Production Management, 40(1), 1–10.
Schrage, M. (2020). Data, Not Digitalization, Transforms the Post- Pandemic Supply Chain. MIT Sloan Management Review, 29th July.
Sheffi, Y. (2005). The Resilient Enterprise: Overcoming Vulnerability for Competitive Advantage. Cambridge, MA: MIT Press.
Sheth, J. (2020). Business of business is more than business: Managing during the Covid crisis. Industrial Marketing Management. 88, 261-264. https://doi.org/10.1016/j.indmarman.2020.05.028
Shreve, C., Davis, B., & Fordham, M. (2016). Integrating animal disease epidemics into disaster risk management. Disaster Prevention and Management, 25(4), 506–519. https://doi.org/10.1108/DPM-10-2015-0241
Smith, E (2020). Coronavirus could impact 5 million companies worldwide, new research shows. Retrieved March 20, 2020, from https://www.cnbc.com/2020/02/17/coronavirus-could-impact-5-million-companies-worldwide-research-shows.html.
Sodhi, M.S., Son, B.G., & Tang, C.S. (2012). Researchers' perspectives on supply chain risk management. Production and Operations Management, 21(1), 1-13. https://doi.org/10.1111/j.1937-5956.2011.01251.x
Stogdill, R.M. (1974). Handbook of leadership: A survey of theory and research. Free Press.
Tang, CS. (2005). Perspectives in supply chain risk management: a review. Perspectives in Supply Chain Risk Management: A Review (November 3, 2005).
Tang, C.S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488.
Tang, C., & Tomlin, B. (2008). The power of flexibility for mitigating supply chain risks. International Journal of Production Economics, 116(1), 12-27.
Tomlin, B. (2006). On the value of mitigation and contingency strategies for managing supply chain disruption risks. Management Science, 52(5), 639-657.
Toor, S.U.R. (2011). Differentiating leadership from management: An empirical investigation of leaders and managers. Leadership and Management in Engineering, 11(4), 310-320.
Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments: A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119, 247–258.
Tsai, C.Y. (2008). On supply chain cash flow risks. Decision Support Systems, 44, 1031–1042.
Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the supply chain risk management process (SCRMP). Supply Chain Management: An International Journal, 16, 474–483.
Tuzovic, S., & Kabadayi, S. (2020). The influence of social distancing on employee well-being: A conceptual framework and research agenda. Journal of Service Management. ahead-of-print. https://doi.org/10.1108/JOSM-05-2020-0140
Vakharia, A.J., & Yenipazarli, A. (2009). Managing supply chain disruptions. Foundations and Trends in Technology, Information, and Operations Management, 2, 243–325.
Waller, M., Johnson, M.E., & Davis, T. (1999). Vendor-managed inventory in the retail supply chain. Journal of Business Logistics, 20, 183-204.
Wang, Y., Wallace, S.W., Shen, B., & Choi, T.M. (2015). Service supply chain management: A review of operational models. European Journal of Operational Research, 247(3), 685-698. https://doi.org/10.1016/j.ejor.2015.05.053
Wagner, S.M., & Bode, C. (2008). An empirical examination of supply chain performance along several dimensions of risk. Journal of Business Logistics, 29, 307–325.
Windrum, P., & Birchenhall, C. (1998). Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning. Structural Change and Economic Dynamics, 9(1), 109-134.
World Economic Forum (WEF) (2020). How China can rebuild global supply chain resilience after COVID-19. Retrieved April 5, 2020, from https://www.weforum.org/agenda/2020/03/coronavirus-and-global-supply-chains/.
Wu, T., Blackhurst, J., & Chidambaram, V. (2006). A model for inbound supply risk analysis. Computers in Industry, 57, 350–365.
Xu, S., Zhang, X., Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: a literature review based on bibliometric analysis. International Journal of Production Research, 58(11), 3508-3526. https://doi.org/10.1080/00207543.2020.1717011
Zhao K., Zuo Z., & Blackhurst J.V. (2019). Modelling supply chain adaptation for disruptions: An empirically grounded complex adaptive systems approach. Journal of Operations Management, 65(2), 190-212. https://doi.org/10.1002/joom.1009
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