Scott A. Moses joined the faculty of the School of Industrial Engineering
at the University of Oklahoma in 1999. His research and teaching in the
production systems area are enriched by over nine years of industry experience.
Current research activity focuses on scalable algorithms for real-time
order promising and on high-speed tactical-level planning of production
tasks and material flow in large discrete systems. Emphasis in research
is given to computationally oriented approaches that work well for industrial
sized systems and that have the requisite flexibility to yield solutions
meaningful to industry. While with i2 Technologies from 1993 to 1999,
he was highly active in the development, implementation, and integration
of advanced decision support software for supply chain planning and factory
planning. He also previously worked at Pritsker Corporation where he constructed
discrete-event simulation models of manufacturing operations. He received
his Ph.D. degree in industrial engineering from Purdue University and
holds an M.S. degree in industrial engineering and a B.S. degree in mechanical
engineering, both from Oklahoma State University. He is certified by APICS
in Production and Inventory Management and is a member of IIE and INFORMS.
Research Activities
Research activity focuses on highly scalable techniques for modeling and planning production systems. Emphasis in research is given to computationally oriented approaches that work well for industrial sized systems and that have the requisite flexibility to yield solutions meaningful to industry. Areas of current research are:
High-speed tactical-level planning of production tasks and material
flow in large discrete systems
Scalable algorithms for demand promising by manufacturers selling
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