Operations Research & Analytics
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. 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. Our work is grounded in real applications and serves the needs of the industry and of society.
Methodologies & Applications
Methodologies: Data Analytics, data-driven methods, decision analysis, economic methods, optimization, queuing theory, simulation, statistics, stochastic processes.
Applications: Cybersecurity, energy systems, production and scheduling, sustainability, supply chain analysis, transportation systems, water resource management.