Operations Research

The Integrated Systems Engineering Department at The Ohio State University hosts a unique program in operations research that bundles world-class expertise in optimization, stochastic processes and simulation, and data analytics and statistics. This expertise provides our graduates with a deep understanding of current modeling and decision-making problems in industry. Our approach to teaching and research enables our students to develop models, algorithms, and analytical methodologies that are applicable to real-world problems and that can provide the most appropriate solutions to such problems.


Operations research tools including data analytics, data-driven methods, decision analysis, econometric methods, Markov processes, optimization, queuing theory, simulation, and statistics. We apply these tools to a wide variety of fields, including cyber security, energy systems, forecasting, markets, production and scheduling, supply chain analysis, and water resource management.


We take a highly interdisciplinary approach that integrates operations research tools for the modeling and analysis of industrial systems and enables the best decision-making process.

Our contributions to Operations Research are concerned with understanding industry systems, their operations and long-term planning, and methodological and algorithmic advances to achieve the best decision-making process. We make sure that our work is grounded in the real world and serves the needs of the industry and of society as a whole.


Data Analytics
Data-driven methods
Decision analysis
Econometric methods
Markov processes
Queuing theory


Industry Focus Areas

Cyber security
Energy systems
Production and scheduling
Supply chain analysis
Water resource management


Concentration Faculty


Güzin Bayraksan   |   Chen Chen   |   Antonio J. Conejo   |   Sam Davanloo   |   Marc Posner   |   Ramteen Sioshansi

Stochastic Processes and Simulation:

Theodore Allen   |   Guzin Bayraksan   |   Parinaz Naghizadeh   |   Cathy Xia

Data Analysis and Statistics:

Ted Allen   |   Sam Davanloo