Engineering Experts

Scott A. Moses

Industrial and system Engineering
University of Oklahoma
United States of America


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 

Research Interest

High-speed tactical-level planning of production tasks and material flow in large discrete system,Scalable algorithms for demand promising by manufacturers selling direct over the Internet


  • Chen KP, Lee MS, Pulat PS, Moses SA. The shifting bottleneck procedure for job-shops with parallel machines. International Journal of Industrial and Systems Engineering. 2006 Jan 1;1(1-2):244-62. Grant H, Moses S, Goldsman D. Supply chain planning: using simulation to evaluate buffer adjustment methods in order promising. InProceedings of the 34th conference on Winter simulation: exploring new frontiers 2002 Dec 8 (pp. 1838-1845). Winter Simulation Conference.

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