Ozge Islegen
Ozge Islegen

Assistant Professor of Managerial Economics & Decision Sciences

Print Overview

Ozge Islegen is an Assistant Professor of Managerial Economics and Decision Sciences. After receiving her PhD in Operations, Information and Technology at Stanford University, she joined Kellogg in 2011. Professor Islegen's research interests include supply chain management, capacity management and environmental sustainability; specifically, energy supply chains, and capacity investment strategies under environmental regulations.

Areas of Expertise
Capacity Management
Environmental Sustainability
Supply Chain Design and Management

Print Vita
Ph.D., 2011, Operations, Information and Technology, Stanford Graduate School of Business, Stanford, CA
B.S., 2005, Industrial Engineering, Bilkent University, Ankara, Turkey

Academic Positions
Donald P. Jacobs Scholar/Assistant Professor, Managerial Economics and Decision Sciences, Kellogg School of Management, Northwestern University, 2011-present

Print Research
Research Interests

Supply chain management, capacity management and environmental sustainability; specifically, energy supply chains, and capacity investment strategies under environmental regulations.

Islegen, Ozge and S. J. Reichelstein. 2011. Carbon Capture by Fossil Fuel Power Plants: An Economic Analysis. Management Science. 57(1): 21-39.
Islegen, Ozge and S. J. Reichelstein. 2009. The Economics of Carbon Capture. The Economists' Voice. 6(12): Article 5.
Working Papers
Islegen, Ozge, Baris Ata and Jingqi Wang. 2013. Warranty Pricing with Product Failures and Forward-Looking Consumers: An Empirical Approach.
Islegen, Ozge, Baris Ata and A.Serasu Duran. 2015. An Analysis of Time-Based Pricing in Electricity Supply Chains.
Islegen, Ozge and Erica L. Plambeck. 2013. Capacity Leadership. Under revision.
Book Chapters
Islegen, Ozge, Erica L. Plambeck and Terry A. Taylor. Forthcoming. "Variability in Emissions Cost: Implications for Facility Location, Production and Trade." In Environmentally Responsible Supply Chains, edited by Atalay Atasu, Springer.

Print Teaching
Teaching Interests

Operations Management

Energy Markets

Environmental Sustainability

Full-Time / Part-Time 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.

Emerging Areas in Operations Managements (OPNS-525-0)
In this PhD-level seminar course, we will cover topics related to the most recent developments in academic research and industry on energy markets, energy policy and environmental sustainability. We will explore new research ideas on the interface of environmental and energy economics, policy and operations management. The emphasis is to establish a basis for the students to identify the current operational and economical challenges of businesses related to energy and environmental sustainability, and to understand how OM researchers can contribute to the solution of the problems arising in these areas. To take this course, it is essential to have some level mathematical/statistical maturity and willingness to read a broad range of materials. There are no required texts for the course. Below is a list of the papers, book chapters, and other articles we will discuss in the course.