Elizabeth J. Durango-Cohen
Elizabeth J. Durango-Cohen

Visiting Associate Professor of Operations Management

Print Overview

Elizabeth Durango-Cohen is a Visiting Associate Professor of Managerial Economics and Decision Sciences at Kellogg and an Associate Professor of Operations Management at the Illinois Institute of Technology's Stuart School of Business. Dr. Durango-Cohen completed her Ph.D. in Industrial Engineering and Operations Research at the University of California, Berkeley where she worked in the area of production planning and inventory control in the context of supply chain management.  Durango-Cohen's current research efforts focus on the interface of Marketing and Operations to support fundraising efforts at not-for-profit institutions.  This work is supported by a grant by the National Science Foundation. She is also interested in modeling the effect of capacity on pricing decisions for supply chains with competing National and Store-Brand products, as well as on issues tied to sustainable operations. Durango-Cohen's work is published in academic journals including Production and Operations Management, the European Journal of Operations Management and Management Science.

Print Vita
Ph.D., 2002, Industrial Engineering and Operations Research, University of California, Berkeley
Certificate, 1996, Management of Technology, Walter A. Haas School of Business, University of California, Berkeley
M.S., 1995, Industrial Engineering and Operations Research, University of California, Berkeley
B.S., 1994, Applied Mathematics; Computer Science, Sonoma State University, Graduated With Distinction

Academic Positions
Associate Professor, Operations Management, Stuart School of Business, Illinois Institute of Technology, Chicago, 2014-present
Assistant Professor, Operations Management, Stuart School of Business, Illinois Institute of Technology, Chicago, 2005-2014
Assistant Professor, Operations and Manufacturing Management, John M. Olin School of Business, Washington University, St. Louis, 2002-2004

Honors and Awards
National Science Foundation Grant (co-PI), National Science Foundation, 2013-2016
National Science Foundation Grant (co-PI), National Science Foundation, 2010-2013
Dean's Summer Research Grant Recipient, Illinois Institute of Technology, Chicago
Fellowship Finalist, Achievement Rewards for College Scientists (ARCS)
International Fellowship Recipient, Soroptimist
Doctoral Colloquium Participant, INFORMS

Print Research
Durango-Cohen, Elizabeth J. and Candace Yano. 2006. Supplier Commitment and Production Decisions Under a Forecast-Commitment Contract. Management Science. 52(1): 54-67.
Durango-Cohen, Elizabeth J. and Candace Yano. 2011. Optimizing the Customer's Forecast in a Forecast-Commitment Contract. Production and Operations Management. 20(5): 681-698.
Durango-Cohen, Elizabeth J., P. Durango-Cohen and W. Zhang. 2012. A Clusterwise Linear Regression Model of Alumni Giving. International Journal of Education, Economics and Development. 3(4): 330-347.
Durango-Cohen, Elizabeth J.. 2013. Modeling Contribution Behavior in Fundraising: Segmentation Analysis for a Public Broadcasting Station. European Journal of Operational Research. 227(3): 538-551.
Durango-Cohen, Elizabeth J., P. Durango-Cohen and R. Torres. 2013. Donor Segmentation: When Summary Statistics Don't Tell the Whole Story. Journal of Interactive Marketing. 27(4): 172-184.
Durango-Cohen, Elizabeth J., P. Durango-Cohen and R. Torres. 2013. A Bernoulli-Gaussian Mixture Model of Donation Likelihood and Monetary Value: An Application to Alumni Segmentation in a University Setting. Computers and Industrial Engineering. 66: 1085-1095.
Durango-Cohen, Elizabeth J. and Liad Wagman. 2014. Strategic Obfuscation of Production Capacities. Naval Research Logistics Quarterly .
Working Papers
Durango-Cohen, Elizabeth J. and P. Durango-Cohen. 2015. Using Mixture Regression Modeling to Identify Determinants of Alumni Giving.
Durango-Cohen, Elizabeth J. and Candace Yano. 2015. Structuring National Brand Price Contracts in the Presence of Store-Brand Competition.
Durango-Cohen, Elizabeth J. and Chia-hang Li. 2015. Modeling Supplier Capacity Allocation Decisions.
Durango-Cohen, Elizabeth J., Candace Yano and Liad Wagman. 2015. Outsourcing in Place: Selling the Retailer's Store-Brand Factory.

Print Teaching
Full-Time / Evening & Weekend MBA
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.

Operations Management (Turbo) (OPNS-438-5)
This course was formerly known as OPNS 438-A/OPNS 438-B
This accelerated course serves as an introduction to Operations Management. The course approaches the discipline from the perspective of the general manager, rather than from that of the operations specialist. The coverage is very selective: Students concentrate on a small list of powerful themes that have emerged recently as the central building blocks of world-class operations. The course also presents a sample of operations management tools and techniques that have proved extremely useful through the years. The topics discussed are equally relevant in the manufacturing and service sectors.

Analytical Decision Modeling (OPNS-450-0)
This course focuses on structuring, analyzing and solving managerial decision problems on Excel spreadsheets. We address problems of resource allocation (how to use available resources optimally), risk analysis (how to simulate the effects of uncertainty in problem parameters), decision analysis (how to analyze sequential decisions involving uncertainty), data analysis (how to synthesize the available data into useful information) and forecasting (how to extrapolate past observations into the future). In each area, we pose specific problems from operations, finance and marketing, structure them on Excel spreadsheets, and analyze and solve them using the available Excel commands, tools and add-ins. The course involves a hands-on, in-class learning experience in modeling and analyzing a variety of business decision problems on a common spreadsheet platform. It should, therefore, enhance one's problem-solving capabilities as well as spreadsheet skills. A good working knowledge of Microsoft Excel is required.