
Education
Ph.D., University at Buffalo - State University of New York (SUNY)
M.S. Industrial Engineering/Human Factors, University at Buffalo - SUNY
B.S. in Industrial Engineering (Cum Laude), University at Buffalo - SUNY
About Ali
Dr. M. Ali Montazer is currently a Professor of Industrial Engineering in the Tagliatela College of Engineering. He previously served as the Tagliatela College of Engineering interim dean (12/2010-7/2011), Associate Dean (2007-2010), IE department Chair 1992-98 and again during 2003-2006. He earned the BSIE (Cum Laude), MSIE and the Ph.D. from the University at Buffalo. He was awarded the University's Distinguished Teaching Award in 1988; has taught in the areas of production and operations research and management, statistical methods, ergonomics, and simulation and modeling; has also taught in the University's MBA, Executive MBA and the former Master of Science in Engineering Management (MSEM) Programs. His current research and industry project interests include simulation modeling of production systems and business operations, statistical methods and lean /six sigma initiatives; has worked on lean and simulation modeling projects with the Bilco Company, Consolidated Industries, Valley Tool & Manufacturing, Remington Products Company, and Unilever (Clinton, CT).
Published Books and Articles
Mailroom Operations Improvement Using Simulation (co-authors: Asnath Mosha and Jack Krivitsky [both graduate students]), presented at and in the Proceedings of the 7th North American International Conference on Industrial Engineering and Operations Management, Orlando, FL, June 12-14, 2022.
Review of Standard Process Improvement Metrics for the Implementation of Lean Six Sigma in Casting and Forging Operations (co-authors: Craig Duni, Kyle Allingham), presented at the annual IISE conference & Expo, Orlando, FL, May 19-22, 2018.
Courses Taught
- Simulation Modeling
- Applied Engineering Statistics Operations Research
- Queuing Theory
- Linear Programming
- Nonlinear Programming
- Human Factors Engineering
- Business Statistics
- Introduction to Engineering
- Executive level courses in: Probability, Statistics, Quality, Simulation, and Lean
