Matthew Liotine
Dr. Matthew Liotine is an Adjunct Professor of Operations Management at Northwestern University’s Kellogg School of Management. He is also affiliated with the Information & Decision Sciences Department at the University of Illinois Chicago College of Business Administration. There, he is a Clinical Professor and the Founder and Director of Graduate Studies for the Master of Science Degree program in Supply Chain and Operations Management. He was also the Director of the SAP Next-Gen Laboratory for Exponential Technologies, which focused on seeding industry research pilot projects in forward-looking technologies such as blockchain, Internet-of-Things (IoT), and Machine Learning.
Dr. Liotine is also an industry consultant who has been helping enterprises innovate with process improvement and technology. He has helped firms build strategic roadmaps for various technology applications in numerous industries, including healthcare, information technology, and manufacturing. In former roles, he served as a technical manager at AT&T Bell Laboratories, where he pioneered intelligent networks, flexible network routing methods, originated the concept of full group network engineering, and received the AT&T Network Architecture and Quality Awards. He served in several other professional positions, including Vice-President at Edwards Kelcey, Director of Information Technology at Carlson Solutions Group, and senior staff engineer at Union Carbide’s Linde Division, where he founded that company’s National Logistics Center.
His research interests include supply chain resiliency and risk models, secondary logistics management, and technology applications in supply chain management. Dr. Liotine was formally the president of the Institute for Operations Research & Management Sciences (INFORMS) for the Chicago region. He holds a Ph.D. in engineering and operations research from Princeton University.
Supply Chain Management (OPNS-455-0)
What are the key capabilities a supply chain must develop to support the business strategy of a firm? What is the relationship between the desired capabilities and the structure of a supply chain? This course provides a framework to answer these questions. We define supply chain structure in terms of the following drivers of performance: facilities, information, inventory and transportation. The relationship between structure and performance is analyzed using various case studies that require students to develop analytical spreadsheet models to support their decision making. Students are taught the strategic role of the supply chain. The course also discusses methodologies for designing and planning a supply chain.
