Don Warsing

Associate Professor

Prior to joining NC State, Dr. 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. Dr. 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).

To see a full list of research publications, please visit Dr. Warsing’s personal website.

 

Research Interests

Don Warsing’s research focuses on supply chain modeling, production and inventory management

Education

DegreeProgramSchoolYear
Ph.D.Operations ManagementUniversity of North Carolina at Chapel Hill2000
MSManagement (Industrial Engineering concentration)North Carolina State University1995
BSIndustrial and Systems EngineeringOhio State University1989

Publications

Complex and lean or lean and complex? The role of supply chain complexity in lean production
Rossetti, C. L., Warsing, D. P., Flynn, B. B., & Bozarth, C. C. (2023, April 5), OPERATIONS MANAGEMENT RESEARCH, Vol. 4. https://doi.org/10.1007/s12063-023-00355-2
A genetic algorithm for order acceptance and scheduling in additive manufacturing
Kapadia, M. S., Uzsoy, R., Starly, B., & Warsing, D. P., Jr. (2021, October 23), INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, Vol. 10. https://doi.org/10.1080/00207543.2021.1991023
An analysis of optimal ordering policies for a two-supplier system with disruption risk
Luo, S., Ahiska, S. S., Fang, S.-C., King, R. E., Warsing, D. P., Jr., & Wu, S. (2021), Omega - The International Journal of Management Science, 105, 102517. https://doi.org/10.1016/j.omega.2021.102517
Efficient and sustainable closed-loop supply chain network design: A two-stage stochastic formulation with a hybrid solution methodology
Moheb-Alizadeh, H., Handfield, R., & Warsing, D. (2021), JOURNAL OF CLEANER PRODUCTION, 308. https://doi.org/10.1016/j.jclepro.2021.127323
Computing base-stock levels for a two-stage supply chain with uncertain supply
Warsing, D. P., Jr., Wangwatcharakul, W., & King, R. E. (2019), Omega, 89, 92–109. https://doi.org/10.1016/j.omega.2018.10.001
Impact of Scheduling Policies on the Performance of an Additive Manufacturing Production System
Kapadia, M. S., Starly, B., Thomas, A., Uzsoy, R., & Warsing, D. (2019), Procedia Manufacturing, 39, 447–456. https://doi.org/10.1016/j.promfg.2020.01.388
Integrated traditional and additive manufacturing production profitability model
Nagulpelli, K. S., King, R. E., & Warsing, D. (2019), 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), Vol. 34, pp. 619–630. https://doi.org/10.1016/j.promfg.2019.06.121
A comparison of mixed integer programming formulations of the capacitated lot-sizing problem
Karagul, H. F., Warsing, D. P., Hodgson, T. J., Kapadia, M. S., & Uzsoy, R. (2018), INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 56(23), 7064–7084. https://doi.org/10.1080/00207543.2017.1401232
Supply chain engineering: Models and applications
Ravi Ravindran, A., & Warsing, D. P. (2016), In Supply Chain Engineering: Models and Applications (pp. 1–548). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85020077399&partnerID=MN8TOARS
Multi-objective optimization of 3D packing problem in additive manufacturing
Wu, S., Kay, M., King, R., Vila-Parrish, A., & Warsing, D. (2014), IIE Annual Conference and Expo 2014, 1485–1494. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84910090427&partnerID=MN8TOARS

View all publications via NC State Libraries

Don Warsing