Elodie Adida (Goodman)


Assistant Professor
Anderson Graduate School of Management
School of Business Administration
Management Science 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:
Methodology: mathematical programming, game theory and equilibria, nonlinear dynamic optimization, robust optimization, and control problems.
Applications: supply chain management, coordination, pricing, inventory management, health care, public policy, transportation. I am interested in mathematically modeling decision-making problems that arise not only in supply chains, revenue management and pricing, but also in health care and medical applications such as vaccine supply chain, disaster response planning and transportation or in other areas where mathematical analysis and optimization can have a significant impact.



Courses taught at UCR:
Courses taught at UIC:


Graduate students supervised at UIC:


Publications:
  1. Operational Issues and Network Effects in Vaccine Markets (with H. Mamani and D. Dey). European Journal of Operational Research, 231(2):414-427, 2013.
  2. Selecting Non-Pharmaceutical Interventions for Influenza (with R. Jones). Risk Analysis, 33(8):1473-1488, 2013. Online Supplement.
  3. Implementation of a Real-Time Bus Holding Strategy (with Q. Chen and J. Lin). Public Transport, 4(3):165-186, 2013.
  4. Vaccine Market Coordination Using Subsidy (with H. Mamani and D. Dey). IIE Transactions on Healthcare Systems Engineering, 2(1):1-19, 2012.
  5. Supply Chain Competition with Multiple Manufacturers and Retailers (with V. DeMiguel). Operations Research, 59(1):156-172, 2011.
  6. Consignment Contracts with Retail Competition (with N. Ratisoontorn). European Journal of Operational Research, 215(1):136-148, 2011.
  7. Hospital Stockpiling for Disaster Planning (with P.-C. DeLaurentis and M. Lawley). IIE Transaction, 43(5):348-362, 2011.
  8. Influenza Infection Risk and Predominate Exposure Route: Uncertainty Analysis (with R. Jones). Risk Analysis, 31(4), 2011.
  9. 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.
  10. 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.
  11. Dynamic Pricing and Inventory Control: Uncertainty and Competition (with G. Perakis), Operations Research, 58(2):289-302, 2010. Online Supplement.
  12. Hospital Stockpiling for Disaster Planning (with P.-C. DeLaurentis and M. Lawley), Proceedings of the 2010 Industrial Engineering Research Conference (IERC), 2010.
  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. 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.
  15. 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.
  16. 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.
  17. Dynamic Pricing and Inventory Control - No Backorders under Uncertainty and Competition, Publisher VDM Verlag Dr. Mueller e.K., 2007.
  18. A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders (with G. Perakis), Mathematical Programming 107 (1-2):97-129, 2006.
Journal Papers under review and working papers:


Teaching:

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

Winter 2013: Instructor, MGT 201 Quantitative Analysis at UCR (2 sections).
Core curriculum MBA 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 on September 16, 2013.