Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
Georgia Tech pursues leading-edge research with industry, government, and community partners.
At ISyE, we are a national leader in 10 core fields of specialization: Advanced Manufacturing, Analytics and Machine Learning, Applied Probability and Simulation, Data Science and Statistics, Economic Decision Analysis, Energy and Sustainable Systems, Health and Humanitarian Systems, Optimization, Supply Chain Engineering, and Systems Informatics and Control.
ISyE's faculty and staff members strive to provide a world-class educational experience for the Stewart School's undergraduate and graduate students, and to forge long-lasting relationships with ISyE alumni and industry partners. If you have benefited from a connection with an ISyE faculty or staff member, feel free to take a moment to send a thank-you note to that person via this web form.
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Gunter Sharp is a emeritus professor in ISyE. He received B.S and Ph.D. degrees in industrial engineering from Georgia Tech, as well as an M.S. degree in engineering-economic systems from Stanford. From 1982 to 1995, he was program manager for warehousing systems research within Georgia Tech's Material Handling Research Center (MHRC), a consortium jointly funded by U.S. industry and the NSF, where he was responsible for research in automated guided vehicle system configuration, unit load storage systems, work-in-process storage systems, system cost analysis, accumulation and sorting systems, and order assembly systems.
From 1976 to 1981, Dr. Sharp was project director for the Multi-State Corridor University Research Program, a U.S. Department of Transportation-sponsored consortium involving nine universities. This research group developed analytical relationships between freight transportation improvements and industrial development. Results included a multi-mode multi-commodity network representation, mode share analysis, market share analysis, network capacity improvement algorithms, commodity flow data preparation, and demonstration of the integrated procedure for a seven-state area. Dr. Sharp's interests in logistics include multi-modal transportation systems, material flow systems, and order assembly systems.