
Don Warsing
· Don Warsing - Poole College of ManagementVerifiedNorth Carolina State University · IT, Analytics and Operations (ITAO)
Active 2001–2025
About
Don Warsing is an Associate Professor of Operations and Supply Chain Management and the Faculty Director of the Jenkins MBA Program at NC State University's Poole College of Management. Prior to joining NC State, he served on the faculty of the Smeal College of Business at Pennsylvania State University and worked for IBM Corporation in roles spanning industrial engineering to manufacturing management. His research focuses on developing tools and policies for effectively managing inventory, logistics, and business operations, as well as studying how various management practices contribute to improved performance outcomes. Dr. Warsing has published his work in reputable journals such as Production and Operations Management, the Journal of Operations Management, Decision Sciences, and the European Journal of Operational Research. He is also the co-author of the graduate-level textbook 'Supply Chain Engineering: Models and Applications' (CRC Press, 2012). His educational background includes a Ph.D. in Operations Management from the University of North Carolina at Chapel Hill, a Master of Science in Management with an Industrial Engineering concentration from North Carolina State University, and a Bachelor of Science in Industrial and Systems Engineering from Ohio State University.
Research topics
- Computer Science
- Mathematics
- Engineering
- Mathematical optimization
- Industrial engineering
- Business
- Finance
- Mathematical economics
- Operations research
- Economics
- Algorithm
Selected publications
Implementing Trades of the National Football League Draft on Blockchain Smart Contracts
2025-02-24 · 1 citations
preprintOpen accessSenior authorPurpose - Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts. Design/Methodology/Approach - Using Ethereum smart contracts, we model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results. Findings - We show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally. Originality/value - This research demonstrates the new application of smart contracts in the intersection of sports management and blockchain technology. Research limitations/implications - Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience. Practical implications - Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost. Social Implications - Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams.
Implementing trades of the National Football League Draft on blockchain smart contracts
International Journal of Sports Marketing and Sponsorship · 2024-01-12 · 4 citations
articleSenior authorPurpose Demonstrate proof-of-concept for conducting NFL Draft trades on a blockchain network using smart contracts. Design/methodology/approach Using Ethereum smart contracts, the authors model several types of draft trades between teams. An example scenario is used to demonstrate contract interaction and draft results. Findings The authors show the feasibility of conducting draft-day trades using smart contracts. The entire negotiation process, including side deals, can be conducted digitally. Research limitations/implications Further work is required to incorporate the full-scale depth required to integrate the draft trading process into a decentralized user platform and experience. Practical implications Cutting time for the trade negotiation process buys decision time for team decision-makers. Gains are also made with accuracy and cost. Social implications Full-scale adoption may find resistance due to the level of fan involvement; the draft has evolved into an interactive experience for both fans and teams. Originality/value This research demonstrates the new application of smart contracts in the inter-section of sports management and blockchain technology.
2024-08-19
articleOpen accessSenior authorPurpose - Demonstrate proof-of-concept for negotiating and executing a small-scale contracting job based on letter of credit within a blockchain network using smart contracts. Design/Methodology/Approach - Using Ethereum smart contracts, we model a small-scale general contracting scenario under perfect conditions. Execution is demonstrated with the Remix Integrated Development Environment (IDE). Findings - We show the feasibility of conducting a small-scale contracting job using smart contracts. The entire process, including job details, payment, and verification, can be conducted digitally. Originality/value - This research continues the efforts of previous research on letters of credit on blockchain but applies it to the general contracting scenario at small scale. Research limitations/implications - Further work is required to investigate variations in the assumptions, such as dishonesty and incompetence. Also, full-scale decentralized application is not explored here. Practical implications - This process expands the scope of current practices and tools, such as Angi, in a decentralized manner with blockchain. Social Implications - Full-scale adoption at the small scale is likely difficult due to disbelief in technology, cost, and resistance to change.
Mechanisms for Dealing With the Unexpected in Small-Scale Contracting Using Smart Contracts
2024-10-28
articleOpen accessSenior authorPurpose - Demonstrate proof-of-concept for an expanded blockchain smart contract based small-scale contracting process that includes an internally managed arbitration service to manage disputes. Design/Methodology/Approach - Using Ethereum smart contracts, we model a small-scale general contracting scenario with disruptions. Execution is demonstrated with the Remix Integrated Development Environment (IDE). Findings - We show the feasibility of managing general contracting disputes with an internal arbitration service, completely encompassed within blockchain smart contracts. Originality/value - This research continues an original effort to model the small-scale general contracting scenario on a blockchain network. Research limitations/implications - Further work is required to expand the scope of dispute management and account for additional external factors. Also, full-scale decentralized application is not explored here. Practical implications - This process expands the scope of current practices and tools, such as Angi, in a decentralized manner with blockchain. Social Implications - Full-scale adoption at the small scale is likely difficult due to disbelief in technology, cost, and resistance to change.
Optimization of testing protocols to screen for COVID-19: a multi-objective model
Health Care Management Science · 2024-10-11 · 1 citations
articleSSRN Electronic Journal · 2024-01-01
preprintOpen accessSenior authorIntroduction to Supply Chain Engineering
2023-07-07
book-chapterInventory Management Methods and Models
2023-07-07
book-chapterTransportation Decisions in Supply Chain Management
2023-07-07
book-chapterManaging Risks in Supply Chain 1
2023-07-07 · 2 citations
book-chapter
Frequent coauthors
- 13 shared
A. Ravi Ravindran
- 8 shared
Paul Griffin
- 6 shared
Brandon M. McConnell
North Carolina State University
- 6 shared
Michael G. Kay
North Carolina State University
- 5 shared
Kristin Thoney-Barletta
- 5 shared
Russell E. King
North Central State College
- 4 shared
Reha Uzsoy
- 4 shared
Robert Handfield
North Carolina State University
Education
- 1991
Ph.D., Business Administration
University of Illinois at Urbana-Champaign
- 1986
M.S., Business Administration
University of Illinois at Urbana-Champaign
- 1983
B.S., Business Administration
University of Illinois at Urbana-Champaign
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Don Warsing
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup