This webinar will discuss insights that are important to build resilient and efficient supply chains under uncertain environments. Speakers will elaborate on how understanding business characteristics, and using quantitative approaches may help mapping leverage points, understanding challenges and gaining flexibility in supply chains. Attendees will learn innovative strategies to support their decision-making processes to create proactive, adaptable business models through the use of data analytics while reducing costs and expanding their market share without compromising their long-term financial sustainability.
Yuri Ramos brings 20 years of international experience, having worked with Information Technology for multinational companies in his native Brazil, throughout South America and in the United States. Before MIT, Yuri was with Santander Bank N.A., where he first worked as a Sr. Manager for online and mobile initiatives, and then as Chief of Staff for the CIO of Digital Channels.
Prior to Santander, Yuri was the co-founder and CEO of 2 startups in the EdTech space. In both endeavors he was responsible for strategy, business development and operations. Before this entrepreneurial period, Yuri held positions at Universo Online – Brazil’s largest Internet portal - as Director of Operations and Senior Manager; at ACISION as Engineering Manager (Latin America Operations) and Senior Project Manager; and at Nortel Networks as Project Manager.
Yuri earned his Bachelor’s degree in Mathematics at the University of Brasilia, and his MBA at MIT where he was a Sloan Fellow.
Chris Mejía-Argueta is a Research Scientist at the MIT Center for Transportation and Logistics. He is the director and founder of the MIT Food and Retail Operations Lab (FaROL) where he develops applied research to improve the performance of retail and e-tail supply chains. He is also director of the MIT SCALE network for Latin America and the Caribbean. He has over 14 years of experience solving logistical problems for more than 15 countries in four different continents. He is the editor and author of four books on supply chain management and has led dozens of industrial projects. He holds a Ph.D. and a M.Sc. from Monterrey Tech (MEX) and he has worked for the Eindhoven University of Technology (NDL), LOGYCA (COL) and Hewlett Packard Laboratories (U.S.A).
Improving supply chain agility has been a top priority of executives to increase performance. Actually, 75% of supply chain and logistics professionals have done adjustments in their supply chain processes during the pandemic. All the high uncertainty required CPG manufacturers, distributors and retailers to make deep structural shifts in retail supply chains given the sudden demand changes and supply shocks. But why were these supply chains so unprepared to cope with these disruptions? We collected and analyzed information from around 300 firms and found interesting managerial insights about their supply chain agility, adaptability and alignment (i.e., AAA) before the COVID-19 crisis first wave and right after. Attendees will understand what factors might be significant for them to control and we will discuss innovative strategies to build AAA-supply chains and keep resilience and high-performance under any type of crises.
Edgar Gutierrez-Franco is a Postdoctoral Associate at the MIT Center for Transportation and Logistics. He is collaborating in projects related with Sustainable Supply Chains, Food and Retail Operations and Omnichannel Distribution Strategies. His research interests are related to applying quantitative models and artificial intelligence for Distribution Network Design, Manufacturing and the design of Decision Support Systems. His corporate experience includes positions in the consulting, beverage and retail industry. Dr. Edgar has publications in scientific journals and has serve as editor and author of two books related with engineering and business analytics. He holds a MSc. in Industrial Engineering from the University of Los Andes (Colombia), and a Ph.D. in Industrial Engineering and Management Systems with focus on Data Science from the University of Central Florida (2019).
Analytics technologies and data science have not just created new business models, they have revolutionized the nature of how businesses operate and compete. Research suggests that 71% of global enterprise investments in analytics have accelerated in the last years. This webinar presents how leading-edge technologies like advanced optimization, artificial intelligence and simulation along with supply chain strategies can help organizations to deal with current and future challenges in supply chains. A successful case study on urban delivery operations in a megacity is discussed. This case solves operational challenges for product supply from consumer package goods (CPGs) or retail industries to stores and end consumers in urban areas. Attendees will have the opportunity to learn how data analytics have supported decision making in SCM to reduce costs, enhance SC agility, and improve customer satisfaction.
Angi Acocella is a PostDoctoral Research Affiliate with MIT’s Center for Transportation & Logistics. Her research focuses on helping firms improve freight transportation practices. She demonstrates how firms should incorporate operational uncertainty into their transportation procurement processes to reduce costs and improve supplier service levels. She applies data science techniques to real-world data to develop predictive behavioral and pricing models. Dr. Acocella received her BS in Mechanical Engineering from Rensselaer Polytechnic Institute, her MS from MIT in the Technology and Policy Program, and her PhD in Transportation Science from MIT’s Civil Engineering Department and the Center for Transportation & Logistics.
Michael Chang is a scientist, engineer and entrepreneur. After receiving his PhD in MIT, he founded Synergies in 2016, a distinguished augmented analytic company. He innovates the company’s product JarviX, which enables general users or OT to perform analytics, data science and AIOps without coding, and significantly improve analytic efficiency by 40-70X.
Benjamin Thelonious Fels is the CEO and founder of Macro-Eyes: a venture-backed AI company that shifts crucial supply chains from reactive to proactive. Macro-Eyes technology is at work for the governments of Sierra Leone, Côte d'Ivoire, Tanzania, Mozambique, Nigeria, DRC and the United States. Macro-Eyes technology enables next-generation demand forecasting for commercial customers globally.
Benjamin has particular expertise leading development and deployment of technology that learns to make predictions in complex, dynamic settings. Prior to Macro-Eyes, he was a derivatives trader and managed global teams that built and ran trading systems that learned in real-time across financial markets. Benjamin advises the World Health Organization on the future of digital health and the Financial Times published his op-ed on digital health and AI. He has spoken on applied AI at the University of Washington, Northwestern University, the World Bank and at the Bill & Melinda Gates Foundation. Benjamin is a Draper Richards Kaplan Foundation Social Impact Entrepreneur. He is a graduate of Wesleyan University in Connecticut.