Decision Sciences

Theresa Roeder, Ph.D.

Role: 
Staff
Faculty
Department: 
Decision Sciences
Position: 
Interim Senior Assistant Dean
Office: 
BUS 203C
Phone: 
(415)338-1819
Office Hours: 
Spring 2020 - M 10:30am-12:00pm; W 9:00am-10:00am, 11:30am-12:30pm; By Appointment
Advising Duties & Hours: 
Faculty Advisor
Biography: 

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.

Education: 
  • Ph.D. (2004), University of California, Berkeley
Research Interests: 
  • Discrete-event simulation
  • Modeling heuristics for simulation with limited information
  • Simulating large-scale highly-congested systems
Honors and Awards: 
  • Intel Distinguished Service Award
  • President's Fellowship

Robert Saltzman, Ph.D.

Role: 
Faculty
Department: 
Decision Sciences
Position: 
Professor
Office: 
BUS 205C
Phone: 
(415) 338-1232
Office Hours: 
Spring 2020 TTH 12:30pm-2:15pm; W 1:00pm-1:15pm(DTC)
Advising Duties & Hours: 
Faculty Advisor
Biography: 

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.

Education: 
  • B.S. in Applied Mathematics (1981), Brown University
  • Ph.D. in Operations Research (1989), Stanford University
Research Interests: 
  • Animated Discrete
  • Event Simulation Modeling
  • Applied Optimization Modeling
Honors and Awards: 
  • 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)
Professional Associations: 
  • INFORMS: Institute for Operations Research and the Management Sciences

Julia Miyaoka, Ph.D.

Role: 
Faculty
Department: 
Decision Sciences
Position: 
Department Chair
Office: 
BUS 205B
Phone: 
(415)338-7022
Office Hours: 
Spring 2020 - M 1:45pm-3:45pm; T 12:00pm-1:00pm; TH 1:15pm-2:15pm
Advising Duties & Hours: 
Faculty Advisor
Biography: 

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.

Publications:
  • “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.
Education: 
  • B.S. in Industrial Engineer (1988), Cal Poly, San Luis Obispo
  • M.S. in Manufacturing Systems Engineering, Stanford University
  • Ph.D. (2003), Stanford University
Research Interests: 
  • Supply Chain Management
Honors and Awards: 
  • 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