The Department of Industrial and Systems Engineering offers degree programs at the bachelor’s, master’s, and doctoral levels including the bachelor’s and master’s degree in Industrial and Management Engineering, and the doctoral degree in Decision Sciences and Engineering Systems. The common theme throughout the department’s academic programs is the use of mathematical, statistical, and computational/simulation models to better understand, predict, and optimize complex engineering, managerial, operational, and physical systems.
Research Innovations and Initiatives
The department’s research is focused on core disciplinary strengths in Industrial and Systems Engineering (ISE). ISE involves the application of mathematical, computational, statistical, and information science methods to model, analyze, and solve complex decision problems in engineering, business, and social systems. ISE employs methods of mathematical programming, queuing theory, computational optimization, decision analysis, applied statistics, database systems, soft computing, and discrete event simulation for solving problems related to the design, planning, and operation of complex systems where intelligent coordination is necessary to achieve optimal performance. It is distinctive from management and economics in the use of an engineering approach to design and analyze enterprise processes to optimize performance. It is distinct from computer science in its focus on the design of data and knowledge systems as the organizational nerve center where operations and enterprise systems are integrated.
The department’s faculty research aligns directly with these core strengths to exploit dynamically evolving opportunities of high relevance in such areas as Adaptive Supply Chains, Manufacturing Systems, Social and Cognitive Networks, Homeland Security, Service Systems Engineering, Energy and Environmental Systems, Healthcare Systems and Robotics.