E-mail address: ewatson@lsu.edu
Teaching
Professor Watson currently teaches the Enterprise Systems Overview and Enterprise System Implementation courses for graduate and undergraduate students. He has also taught Systems Analysis and Design, Business Process Reengineering, Systems Modeling and Analysis (Discrete-Event Simulation), Stochastic Process Simulation, Operations Management, Research Design Methods and Analysis and Operations Management in Practice.
Ed spearheaded the SAP University Alliance Program at LSU and has helped bring international recognition at LSU for his Enterprise Systems curriculum development efforts as the graduate and undergraduate levels. As Program Coordinator for the SAP@LSU Alliance, Ed is involved with coordinating and conducting many of the initiatives involving the SAP R/3 on campus.
Education and Experience
Ed received his Ph.D. and M.S. in Industrial Engineering from Penn State. His B.S. degree in Industrial Engineering and Operations Research is from Syracuse University. Ed has held positions in Manufacturing Engineering at Harrison Radiator Division of General Motors, in Market Research Design Methods and Analysis, and Operations Management in Practice.
Research Interests
Dr. Watson traditionally has worked in the area of performance analysis of manufacturing, service, and supply chain systems. This research has appeared in various journals: International Journal of Production Research, Decision Sciences, European Journal of Operations Research, Decision Support Systems, Production and Inventory Management Journal, Quality Engineering, International Journal of Industrial Engineering and Interfaces.
Among his more recent and emerging research interests include Enterprise Systems implementation and use. This includes the issues involving inter-organizational systems, business-to-business electronic commerce, and supply chain management, optimization and stimulation. A parallel research interest is the area of ERP-based education (see, for instance, his article in Communications of the AIS, January 1999) and the development of a ERP-based simulation for global operations and simulations.
