Bio

Prior to joining NC State, Don Warsing served on the faculty of the Smeal College of Business at Pennsylvania State University and also worked for IBM Corporation in roles spanning from industrial engineering to manufacturing management. Warsing’s research concerns the development of tools and policies for effectively managing inventory, logistics, and business operations, and studying the way in which various management practices contribute to improved performance outcomes. His work has been published in Production and Operations Management, the Journal of Operations Management, Decision Sciences, and the European Journal of Operational Research, among others. He is also the co-author of a graduate-level textbook, Supply Chain Engineering: Models and Applications (CRC Press, 2012).

Area(s) of Expertise

Warsing's research interests focus on production and inventory management, advanced/additive manufacturing and logistics/distribution.

Publications

• Implementing A Letter Of Credit Style Business Process For Small-Scale Contracting Using Smart Contracts , Transactions on Computer Science and Applications (2024)
• Implementing trades of the National Football League Draft on blockchain smart contracts , International Journal of Sports Marketing and Sponsorship (2024)
• Optimization of testing protocols to screen for COVID-19: a multi-objective model , Health Care Management Science (2024)
• Complex and lean or lean and complex? The role of supply chain complexity in lean production , Operations Management Research (2023)
• Supply Chain Engineering , (2023)
• An Analytic Tool for Constructing and Evaluating Testing Strategies for COVID-19 , Journal of Infectious Diseases & Therapy (2022)
• A genetic algorithm for order acceptance and scheduling in additive manufacturing , International Journal of Production Research (2021)
• An analysis of optimal ordering policies for a two-supplier system with disruption risk , Omega - The International Journal of Management Science (2021)
• Efficient and sustainable closed-loop supply chain network design: A two-stage stochastic formulation with a hybrid solution methodology , Journal of Cleaner Production (2021)
• Impact of Scheduling Policies on the Performance of an Additive Manufacturing Production System , Procedia Manufacturing (2019)