Areas of Expertise (12)
Douglas J. Morrice is an educator and researcher in the field of operations management, supply chain, and risk management, using computer simulation and data analysis to discover ways to improve service operations, inform risk decisions, and increase the effectiveness and efficiency of supply chain systems. His work has found application in energy, technology, retail, health care, and other industries.
Morrice holds the Bobbie and Coulter R. Sublett Centennial Professorship in Business, and he is a professor of operations management at McCombs School of Business, The University of Texas at Austin. He is the director of the Supply Chain Management Center of Excellence at McCombs, a company-sponsored center dedicated to developing research and teaching programs in partnership with AMD, Chevron, ConocoPhillips, Dell, Inc., Freescale, Frito-Lay, Halliburton and others.
Morrice’s research has received funding from SAP America under the University Alliance Research Grant Program, and he has over 40 technical publications and 2 patents. He is a member of INFORMS and the Production and Operations Management Society. He has designed and delivered executive development programs on operations modeling and supply chain management for several organizations including Schlumberger, Pricewaterhouse Coopers, and Texas Instruments.
Cornell University: Ph.D., Operations Research and Industrial Engineering 1990
Cornell University: M.Sc., Operations Research and Industrial Engineering 1988
Carleton University: B.A., Mathematics and Operations Research 1985
Listing of top scholarly works by Douglas J. Morrice.
In this study, we develop a coordinated pre‐operative scheduling approach between Anesthesiology and Internal Medicine to optimize patients’ medical conditions prior to surgery.
This article presents a new model for constructing annual block schedules for family medicine residents based on the rules and procedures followed by the Family Medicine Department at the University of Texas Health Science Center in San Antonio (UTHSC-SA).
The objective of the study was to obtain a better understanding of patient flow through a health care clinic and to investigate changes to current scheduling rules and operating procedures.
We propose a simulation game designed to teach service-oriented supply chain management principles and to test whether managers use them effectively.
We develop a three-step heuristic to address a production scheduling problem at a high volume assemble-to-order electronics manufacturer.
We investigate the dynamic behavior of service supply chains in the presence of varying demand and information sharing.
We develop a ranking and selection procedure for making comparisons of systems (e.g., project configurations) that have multiple performance measures.