- B.S. in Operations Research and Industrial Engineering, Cornell University
- M.S. in Engineering Economic Systems and Operations Research, Stanford University
- Ph.D. in Industrial Engineering and Management Sciences, Northwestern University
Robert Saltzman teaches undergraduate and MBA courses in operations management, statistics, speadsheet modeling, computer simulation, and quality management in the Lam Family College of Business at San Francisco State University. He served as Chair of the Decision Sciences Department from 2007-2010 and from 2013-2016. Robert earned his Ph.D. in Operations Research from Stanford University, and his Bachelor’s degree in Applied Math from Brown University. His research interests are in applied optimization and animated simulation modeling.
- B.S. in Applied Mathematics (1981), Brown University
- Ph.D. in Operations Research (1989), Stanford University
- Animated Discrete
- Event Simulation Modeling
- Applied Optimization Modeling
- Best Paper in Lam Family College of Business Working Paper Series, 1999-2000 (May 2000)
- Excellence in Teaching Award, 1996-97, Lam Family College of Business (Nov. 1997)
- Excellence in Teaching Award, 1992-93, School of Business (Nov. 1993)
- INFORMS: Institute for Operations Research and the Management Sciences
- M.S. (1988), San Francisco State University
- Ph.D. in Operations Management, State University of New York at Buffalo
Julia Miyaoka is a professor in the Decision Sciences department at San Francisco State University. She completed her Ph.D. in the management science and engineering department at Stanford in 2003. Her research interests are in the area of supply chain management and she teaches operations management at SF State. Prior to her Ph.D., she worked in manufacturing/industrial engineering positions at Applied Imaging, Baxter International, and Raychem Corporation. Julia received a B.S. degree in industrial engineering from Cal Poly, San Luis Obispo and an M.S. degree in manufacturing systems engineering from Stanford.
- “Experiential Undergraduate Operations Management Course Engages Students,” with L. Ozsen, Y. Zhao, and S. Cholette, Journal of Supply Chain and Operations Management, Vol. 16, No. 3, 2018, pp. 219-245.
- “A Simple EOQ-like Solution to an Inventory System with Compound Poisson and Deterministic Demand,” with K. S. Azoury, Journal of Supply Chain and Operations Management, Vol. 16, No. 2, 2018, pp. 186-197.
- “Using Simulation as a Teaching Tool in an Introductory Operations Management Course,” with T. M. Roeder, Proceedings of the 2015 Winter Simulation Conference, 2015, pp. 3481-3489.
- “Sequential Learning vs. No Learning in Bayesian Regression Models,“ with K. S. Azoury, Naval Research Logistics, Vol. 61, No. 7, 2014, pp. 532-548.
- “Managing Production and Distribution for Supply Chains in the Processed Food Industry,” with K. S. Azoury, Production and Operations Management, Vol. 22, No. 5, 2013, pp. 1250-1268.
- “Steady State Analysis of Continuous Review Inventory Systems: A Level Crossing Approach,” with K. S. Azoury and V. Udayabhanu, Journal of Supply Chain and Operations Management, Vol. 10, No. 1, 2012, pp. 66-86.
- “Optimal Policies and Approximations for a Bayesian Linear Regression Inventory Model,” with K. S. Azoury, Management Science, Vol. 55, No. 5, 2009 pp. 813-826.
- “How Improved Forecasts Can Degrade Decentralized Supply Chains,” with W. H. Hausman, Manufacturing and Service Operations Management, Vol. 10, No. 3, Summer 2008, pp. 547-562.
- “Making Operations Management Fun: Littlefield Technologies,” INFORMS Transactions on Education, Vol. 5, No. 2, January 2005, http://ite.pubs.informs.org/Vol5No2/Miyaoka/.
- “Lego Fun for Everyone: A Series of Operations Management Learning Games,” California Journal of Operations Management, Vol. III, No. 1, January 2005, pp. 64-69.
- “How a Base Stock Policy Using ‘Stale’ Forecasts Provides Supply Chain Benefits,” with W. H. Hausman, Manufacturing and Service Operations Management, Vol. 6, No. 2, Spring 2004, pp. 149-162.
- B.S. in Industrial Engineer (1988), Cal Poly, San Luis Obispo
- M.S. in Manufacturing Systems Engineering, Stanford University
- Ph.D. (2003), Stanford University
- Supply Chain Management
- National Defense Science and Engineering Graduate Fellowship (2000-2003)
- Future Professors of Manufacturing Fellowship (1998-2003)
- Graduated Summa Cum Laude, Cal Poly, San Luis Obispo (1988)
- Summer Stipend Award, SFSU
Theresa Roeder joined the department of Decision Sciences in 2005, after receiving her Ph.D. from UC Berkeley in 2004.
Her research is primarily in the field of discrete-event computer simulation, where she has worked extensively with the semiconductor industry. There, the focus is on investigating alternate approaches to simulation that would reduce the run times and/or development times.
Theresa is originally from Germany, and moved to California in 1999 after a five-year stint at Case Western Reserve University in Cleveland, OH. She is a happy member of the Oakland Symphony Chorus, on whose board she also serves.
- Ph.D. (2004), University of California, Berkeley
- Discrete-event simulation
- Modeling heuristics for simulation with limited information
- Simulating large-scale highly-congested systems
- Intel Distinguished Service Award
- President's Fellowship
Sada Soorapanth received her Ph.D. from the University of Michigan at Ann Arbor in industrial and operations engineering, an M.S. from the University of Houston in industrial engineering, and B. Engg. from Chulalongkorn University, Thailand, in chemical engineering.
Her research interests are in statistical modeling, decision analysis, and discrete-event simulation with applications in health care. She has over 10 years of research and work experiences in economic analysis of public health policy and new medical technology. She has worked with major pharmaceutical companies to perform economic modeling and analyses in various diagnostic and therapeutic areas.
During her leave of absence from San Francisco State University, she worked as a Director in Health Economics at Research Triangle Institute (RTI), Health Solutions. At RTI, she worked with major pharmaceutical companies to conduct cost-effectiveness and budget impact analyses demonstrating the clinical and economic utility of new pharmaceutical and biotechnology products. Prior to joining San Francisco State University, she had years of experience working in private industry and governmental agency. She was a Prevention Effectiveness fellow at the Centers for Disease Control and Prevention, working on developing the decision analysis models for the costs and benefits analysis of HIV/AIDS prevention interventions.
Prior to the CDC, she was a senior research engineer at the United Technologies Research Center, United Technologies Corporation, working on developing a stochastic scheduling and optimization tool for planning and scheduling overhaul and repair operations of aircraft engines.
Her Ph.D. thesis, funded by the US Environmental Protection Agency (EPA), involved developing mathematical models to quantify risk of waterborne disease and to provide useful information for water treatment decision making.
During her Ph.D. study, she worked with General Motors research and development and planning to develop a decision support software for analyzing system interactions and planning cost optimal policy for their maintenance activities.
- B. Engg. in Chemical Engineering, Chulalongkorn University, Thailand
- M.S. in Industrial Engineering, University of Houston
- Ph.D. in Industrial and Operations Engineering (2002), The University of Michigan, Ann Arbor
- Mathematical Modeling of System Dynamics
- Cost-Effectiveness Analysis of Public Health Policy
- Decision Analysis and Bayesian Inference
- Discrete-Event Simulation
- Ph.D. (1979), Michigan State University
- Sc.D. (1980), Tokyo Institute of Technology