Accenture (NYSE: ACN) and the Massachusetts Institute of Technology (MIT) are co-developing a supply chain resilience stress test for assessing operational and financial risks created by major market disruptions, disasters or other catastrophic events.
“The COVID-19 pandemic exposed considerable weaknesses, resulting in severe disruptions in supply chains around the globe, shedding light on the need for intelligent supply chains that prioritize transparency, anticipate new risks and enable faster decision-making,” said Kris Timmermans, senior managing director and Accenture’s global supply chain & operations lead. “Our stress test enables companies to run more than 40 scenarios at one time, providing unprecedented visibility into where and how their supply chains will be impacted during a major disruption.”
Leveraging Accenture’s extensive expertise in supply chain, operations and analytics, and MIT’s leading research and capabilities in data science, the stress test will quantify supply chain resilience in a single resilience index. With this test, organizations will be able to quickly identify potential points of failure in their supply chain, assess their related financial exposure, and define appropriate mitigation strategies and actions. Because the scenarios are standardized, organizations both in the public and private sector will also be able to benchmark their resilience against peers and competitors across industries.
The test is designed to be scalable and adaptable to changing market conditions and customer expectations as supply chains continue to evolve. Global food company, Sigma, through its European subsidiary Campofrio, is among the companies working with Accenture and MIT to implement the stress test on its supply chain and provide input and use-case insights to its development.
“As a company with a wide international footprint, we need to ensure an uninterrupted supply of products to our customers, no matter what disruptions occur. Managing the impact of COVID-19 required high effort on our side, and in the process, we uncovered several weaknesses in the supply chain we wished we had identified more proactively before,” said Fernando Ibarra, Supply Chain Director of Sigma in Europe. “Working with Accenture and MIT on this groundbreaking project will be key to recognize other potential weaknesses and continue increasing our supply chain resilience.”
The stress test begins with the creation of a “digital twin” of an organization’s supply chain. This enables the subsequent modeling of various combinations of scenarios and impact that would significantly disrupt the organization’s ability to serve customers, shareholders, employees, and society. Such scenarios could include sudden spikes or drops in demand, the shutdown of a major supplier or facility, scarcity of a critical raw material, or disruption of a key port. The stress test can identify both the time it would take for a particular node in the supply chain to be restored to full functionality after a disruption (i.e., “time to recover”) and the maximum duration the supply chain can match supply with demand after a disruption (i.e., “time to survive”). This approach to supply chain risk management has been introduced and discussed by MIT Professor David Simchi-Levi and his PhD students in their article, From Superstorms to Factory Fires: Managing Unpredictable Supply-Chain Disruptions.
“There is a critical need for a global stress test standard to help prevent shortages of vital products and supplies from happening when the next disaster strikes,” said Simchi-Levi, who has published extensively on the need for consistent approaches for identifying and mitigating supply chain risks (see We Need a Stress Test for Critical Supply Chains, and Identifying Risks and Mitigating Disruptions in the Automotive Supply Chain). “The test will allow companies to understand the resiliency of their supply chains, recognize weak links and act quickly to balance the impact of unprecedented events on customers, operations and finances.”
Accenture and MIT have a long history of collaboration and recently launched the MIT and Accenture Convergence Initiative for Industry and Technology. The new initiative brings together Accenture experts and the best minds from across MIT to explore how the convergence of industry and technology will transform global business and society, and how organizations can uncover and better capture its opportunities.
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 506,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
About the MIT Data Science Lab
The MIT Data Science Lab develops ground breaking analytic techniques and tools for improving decision making in environments that involve uncertainty and require statistical learning. Our methods have been implemented by a large number of companies across a variety of industries such as Airlines, Insurance, Manufacturing, Retail, and Finance. Visit the Lab at https://dsl.mit.edu/.
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