Julia Miyaoka, Ph.D.

Decision Sciences
Department Chair
BUS 205B
Office Hours: 
M 1:30pm-3:30pm(via Zoom); TH 1:30pm-3:30pm(via Zoom) - FALL 2020
Advising Duties & Hours: 
Faculty Advisor

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
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