Supply chain excellence through analytics.
The University at Buffalo School of Management’s Center for Supply Chain Analytics is a multidisciplinary research hub applying best practices in cutting-edge supply chain analytics across industries, government and society. Our focus is on advancing the state of practice in supply chain analytics and operations by:
The School of Management’s Center for Supply Chain Analytics is leading UB’s involvement in this $40 million initiative to grow semiconductor manufacturing, research, and education in New York State.
Principal Investigator
Ananth Iyer, PhD
Dean and Professor of Operations Management and Strategy
Affiliated Faculty and Staff:
Partners
Sponsor
The NY Smart I-Corridor Tech Hub: Supply Chain Activation Network project is supported by a grant from the Economic Development Administration and matching funds from the University at Buffalo’s Office of the Vice President for Research and Economic Development.
The University at Buffalo School of Management has established the Center of Excellence for Cross-Border Supply Chains, housed within the Center for Supply Chain Analytics. The center will serve as a hub for innovation, research and business support, providing practical tools, guidance and referral resources to help organizations navigate the complexities of cross-border trade and supply chain operations. Through applied research and collaboration with academic institutions, nonprofit organizations, service providers, government agencies and small- and medium-sized enterprises, the center will advance knowledge in cross-border supply chain management while strengthening regional economic growth.
Center for Supply Chain Analytics teams are investigating diversification opportunities for manufacturers of internal combustion engine parts and components, to reduce the risk of future obsolescence and capitalize on growth of electric vehicle markets.
The Center for Supply Chain Analytics is incorporating information from multiple data sets to consider the impact of external factors on container shipping prices and port utilization.