Yue Wang
- Assistant Professor, Systems and Industrial Engineering
- Member of the Graduate Faculty
Contact
- (520) 621-6548
- Engineering, Rm. 127
- Tucson, AZ 85721
- ywang23@arizona.edu
Biography
Dr. Yue Wang joined the Department of Systems and Industrial Engineering as an assistant professor in August 2023. She received her Ph.D. degree in Industrial Engineering from Texas A&M University, and both her M.S. and B.S. degrees in Transportation and Logistics from Southeast University, China. Dr. Wang’s research interests lie in the realm of operations research, with applications in supply chain, freight and logistics, healthcare, and final-mile service systems.Degrees
- Ph.D. Industrial Engineering
- Texas A&M Unviersity, College Station, Texas, United States
- Optimization models for last-mile service operations
- M.S. Transportation and Logistics
- Southeast University, Nanjing, China
- B.S. Transportation
- Southeast University, Nanjing, China
Work Experience
- The University of Arizona, Tucson, Arizona (2023 - Ongoing)
Awards
- Graduate Teaching Fellow
- College of Engineering, Texas A&M University, Spring 2023
- Future Faculty Fellows
- Institute of Industrial and Systems Engineers (IISE), Fall 2022
- Best Poster Presentation Award
- Texas A&M University, Fall 2021
- Outstanding Achievement Award
- Texas A&M University, Fall 2021
Interests
Teaching
Production and Inventory Control, Quantitative Models in Supply Chain Management, Transportation and Logistics
Research
Inventory Control and Management, Transportation and Logistics, Last-Mile Service Systems, Supply Chain Optimization
Courses
2024-25 Courses
-
Dissertation
SIE 920 (Spring 2025) -
Production System Analys
SIE 462 (Spring 2025) -
Production Systems Analysis
SIE 562 (Spring 2025) -
Supply Chain Management
SIE 465 (Spring 2025) -
Supply Chain Management
SIE 565 (Spring 2025)
2023-24 Courses
-
Production System Analys
SIE 462 (Spring 2024) -
Production Systems Analysis
SIE 562 (Spring 2024) -
Thesis
SIE 910 (Spring 2024)
Scholarly Contributions
Journals/Publications
- Cavdar, B., Geunes, J., Nie, X., & Wang, Y. (2024). Approximate Solutions for Multi-Trip Route Planning in Time-Sensitive Situations.More infoWe consider emergent situations that require transporting individuals fromtheir locations to a facility using a single capacitated vehicle, wheretransportation duration has a negative impact on the individuals. A dispatcherdetermines routes to maximize total satisfaction. We call this problem theAmbulance Bus Routing Problem. We develop efficient approximate policies forthe dispatcher to allocate individuals to multiple routes, characterize anoptimal solution of the relaxed approximate model, and devise a heuristic toobtain a near-optimal integer solution quickly.[Journal_ref: ]
- Wang, Y., Geunes, J., & Nie, X. (2022). Optimising inventory placement in a two-echelon distribution system with fulfillment-time-dependent demand. International Journal of Production Research, 60(1), 48-72.
Proceedings Publications
- Wang, Y., Geunes, J., & Nie, X. (2022). Optimizing Vehicle Capacity for Fleet Composition with Truckload and Less-than-Truckload Shipping Options. In IIE Annual Conference. Proceedings.
Presentations
- Wang, Y., Cavdar, B., Geunes, J., & Nie, X. (2022). Ambulance bus routing in disaster situations. INFORMS. Indianapolis.
- Wang, Y., Geunes, J., & Nie, X. (2021). Optimizing inventory placement in a two-echelon distribution systems with fulfillment time dependent demand. IISE Annual Conference & Expo. Anaheim, CA.
- Wang, Y., Geunes, J., & Nie, X. (2022). Fleet composition optimization with truckload and less-than-truckload shipping options. IISE Annual Conference & Expo. Seattle, WA.
- Wang, Y., Geunes, J., & Nie, X. (2022). Fleet composition optimization with truckload and less-than-truckload shipping options. INFORMS Annual Meeting. Indianapolis, IN.
