
About
Dr. Manuel Rossetti is a University Professor in the Department of Industrial Engineering at the University of Arkansas, where he has been a faculty member since 1999. He serves as the Director of the Data Science Program for the College of Engineering, Walton College of Business, and Fulbright College of Arts & Sciences, and previously directed the Center for Excellence in Logistics and Distribution (CELDi). Dr. Rossetti teaches courses in probability modeling, simulation, logistics, and database systems.
- Ph.D. in Industrial & Systems Engineering (The Ohio State University)
- M.S. in Industrial & Systems Engineering (The Ohio State University)
- B.S. in Industrial Engineering (University of Cincinnati)
Dr. Rossetti’s research focuses on the design, analysis, and optimization of logistics, manufacturing, healthcare, and transportation systems through stochastic modeling, computer simulation, operations research, and heuristic techniques. His work addresses strategic challenges in inventory management, RFID technology, supply chain resilience, and emergency planning. He also emphasizes active and collaborative teaching methods to enhance student engagement and foster a research mindset.
The 15 most recent publications highlight his expertise in supply chain simulation, multi-echelon inventory systems, logistics optimization, and healthcare operations. Topics include inventory cost analysis, RFID visibility, evacuation modeling, and benchmarking systems. His methodological approaches frequently involve stochastic modeling, heuristic algorithms, and discrete-event simulation frameworks like JSL and Simfone.
Find Manuel Rossetti elsewhere
Related Searches
You Might Also Like
Lei WANGUniversity of Technology of Troyes · Researcher- SShunichi OhmoriWaseda University · Professor
Zümbül AtanEindhoven University of Technology · Associate Professor
Yousef GhiamiVrije University Amsterdam · Assistant Professor
Rafael DiazOld Dominion University · Professor
Derk Rutger Jordi PrakUniversity of Twente · Assistant Professor