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.

Scope

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.

Approach

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.

Tools

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

 

Industry Focus Areas

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

 

Concentration Faculty


Optimization:

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


Stochastic Processes and Simulation:

Ted Allen   |   Guzin Bayraksan   |   Parinaz Naghizadeh   |   Cathy Xia


Data Analysis and Statistics:

Ted Allen   |   Sam Davanloo