Elodie Adida (Goodman)


Assistant Professor
Anderson Graduate School of Management
School of Business Administration
Operations and Supply Chain Management area
University of California at Riverside

Education: Ph.D. in Operations Research from MIT in June 2006 under the supervision of Prof. Georgia Perakis from the Sloan School of Management.

My CV.

Research interests:
Supply chain management, competition and coordination, pricing and inventory management, health care, public policy.



Courses taught at UCR:
Courses taught at UIC:


Graduate students supervised at UIC:


Journal Publications:
  1. Competition and Coordination in a Two-Channel Supply Chain (with A. David). To appear in Production and Operations Management 2014.
  2. The Effect of Supplier Capacity on the Supply Chain Profit (with G. Perakis). To appear in Annals of Operations Research 2014.
  3. Operational Issues and Network Effects in Vaccine Markets (with H. Mamani and D. Dey). European Journal of Operational Research, 231(2):414-427, 2013.
  4. Selecting Non-Pharmaceutical Interventions for Influenza (with R. Jones). Risk Analysis, 33(8):1473-1488, 2013. Online Supplement.
  5. Implementation of an Iterative Headway-Based Bus Holding Strategy with Real-Time Information (with Q. Chen and J. Lin). Public Transport, 4(3):165-186, 2013.
  6. Vaccine Market Coordination Using Subsidy (with H. Mamani and D. Dey). IIE Transactions on Healthcare Systems Engineering, 2(1):1-19, 2012.
  7. Supply Chain Competition with Multiple Manufacturers and Retailers (with V. DeMiguel). Operations Research, 59(1):156-172, 2011.
  8. Consignment Contracts with Retail Competition (with N. Ratisoontorn). European Journal of Operational Research, 215(1):136-148, 2011.
  9. Hospital Stockpiling for Disaster Planning (with P.-C. DeLaurentis and M. Lawley). IIE Transaction, 43(5):348-362, 2011.
  10. Influenza Infection Risk and Predominate Exposure Route: Uncertainty Analysis (with R. Jones). Risk Analysis, 31(4), 2011.
  11. Dynamic Pricing and Inventory Control: Robust vs. Stochastic Uncertainty Models - A Computational Study (with G. Perakis). Annals of Operations Research 181(1):125-157, 2010.
  12. Dynamic Pricing and Inventory Control: Uncertainty and Competition (with G. Perakis), Operations Research, 58(2):289-302, 2010. Online Supplement.
  13. A Robust Optimization Approach to Project Scheduling and Resource Allocation (with P. Joshi), International Journal of Services Operations and Informatics, 4(2):169-193, 2009.
  14. A Nonlinear Continuous Time Optimal Control Model of Dynamic Pricing and Inventory Control with no Backorders (with G. Perakis), Naval Research Logistics 54(7):767-795, 2007.
  15. A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders (with G. Perakis), Mathematical Programming 107 (1-2):97-129, 2006.

Other Publications:
  1. An Investigation in Real-Time Bus Holding Policy (with Qin Chen and Jie Lin). Proceedings of the 15th Hong Kong Society for Transportation Studies International Conference (HKSTS), 2010.
  2. Hospital Stockpiling for Disaster Planning (with P.-C. DeLaurentis and M. Lawley), Proceedings of the 2010 Industrial Engineering Research Conference (IERC), 2010.
  3. Hospital Stockpiling for Influenza Pandemics with Pre-Determined Response Levels (with P.-C. DeLaurentis and M. Lawley), Proceedings of the 2009 IEEE International Conference on Service Operations, Logistics and Informatics (SOLI), 2009.
  4. A Game Theoretical Approach for Hospital Stockpile in Preparation for Pandemics (with P.-C. DeLaurentis and M. Lawley). Proceedings of the 2008 Industrial Engineering Research Conference (IERC), 2008.
  5. Dynamic Pricing and Inventory Control - No Backorders under Uncertainty and Competition, Publisher VDM Verlag Dr. Mueller e.K., 2007.

Journal Papers under review and working papers:


Teaching:

Spring 2013, Spring 2014, Fall 2014: Instructor, MGT 221 Decision-Making under Uncertainty at UCR.
Elective MBA course. Decision analysis, spreadsheet modeling, optimization tools.

Winter 2013, Fall 2014, Winter 2015: Instructor, MGT 201 Quantitative Analysis at UCR (1-2 sections).
Core curriculum MBA and Masters of Finance course. Introduction to Statistics for management.

Fall 2007, Spring 2008, Fall 2008, Spring 2009: Instructor, IE 201 Financial Engineering at UIC.
Course for undergraduate students. Principles and techniques of economic analysis in engineering and management science. Basic probability theory and decision problems under risk and uncertainty. The most recent syllabus can be found here.

Fall 2006, Spring 2007, Summer 2010, Fall 2010: Instructor, IE 342 Probability and Statistics for Engineers at UIC.
Introductory course for undergraduate students with Engineering majors. Probability, random variables, mathematical expectation, discrete and continuous distributions, estimation theory, test of hypothesis, and introduction to standard experimental designs. The most recent syllabus can be found here.

Fall 2008, Fall 2009, Fall 2010, Fall 2011: Instructor, IE 471 Operations Research I at UIC.
Course for undergraduate and Masters students. Introduction to operations research, formulation of linear programming problems, simplex methods, duality theory, sensitivity analysis, network models, and integer linear programming. The current syllabus can be found here.

Fall 2009, Fall 2011: Instructor, IE 576 Nonlinear Optimization at UIC.
Course for graduate Masters and PhD students. Convex analysis, line search techniques, unconstrained and constrained optimization, optimality conditions, duality, convex and nonconvex optimization, interior point methods, and real-world applications. The current syllabus can be found here.

Spring 2005: Teaching Assistant, 6.041/6.431 Probabilistic Systems Analysis & Applied Probability at MIT, taught by Muriel Medard. I was paired up with recitation instructor Pablo Parrilo for the graduate students section of the course. Introductory course on probability for undergraduate and graduate students.

Fall 2004: Teaching Assistant, 15.060 Data, Models, and Decisions at MIT Sloan School of Management, section taught by Robert Freund.
Core curriculum course on the fundamental techniques of using data to make informed management decisions for first year MBA students, including the basics of decision analysis, probability, statistics, regression, and optimization. Some of the teaching is done via case studies.



Seminar Presentations:


Conference Presentations:



Elodie Adida (Goodman)
Anderson Graduate School of Management
School of Business Administration
University of California at Riverside
225 Anderson Hall
900 University Ave. Riverside CA 92521

Phone: (951) 827-7882
Email: elodie . goodman @ ucr.edu
Web page last updated in November 2014.