Manufacturing Systems Engineering

Manufacturing Systems Engineering (MSE) focuses on the use of design, analysis, and technology to create efficient systems capable of producing highly reliable and economically competitive products by employing resources such as material, labor, machine tools, and computing equipment. Graduate studies in MSE cover Operations Research, Computer Integrated Manufacturing, Simulation, and Statistical Quality Engineering.

• Operations Research (OR) emphasizes the development of quantitative models and appropriate solution techniques for solving complex decision problems in manufacturing systems. OR may be applied to a variety of problems, including those in planning, design, scheduling, and layout.
  
  
• Computer Integrated Manufacturing (CIM) incorporates the computer as an integral means to improve the efficiency of the manufacturing system. Among the possible CIM applications are: the capture and analysis of process information; the design and control of processing systems; and the application of computer intelligence to improve various manufacturing processes.
  
  
• Electronics Manufacturing (EMfg) is focused on the application of engineering and manufacturing tools and methods to the development of electronic processes and products. EMfg covers processes and products associated with wafer manufacturing, semiconductor processing technologies, integrated circuit design, printed wiring board manufacturing, and surface mount technologies. In the context of electronics manufacturing, manufacturing topics such as statistical process control, environmental stewardship, design for manufacturability, supply chain management, production scheduling, and economic analysis are covered.
  
  
• Simulation in MSE is the use of the computer to imitate the operation of manufacturing systems driven by discrete events. Simulation is used to understand and predict the behavior of systems whose interdependencies and complexity of operation precludes analytical analysis. It is frequently used to evaluate designs and re-engineer systems before implementation.
  
  
• Statistical Quality Engineering (SQE) is the development and implementation of statistical tools to design or improve the performance of processes and products.

Our MSE graduate faculty are:

• Toni Doolen (EMfg)
  
• David Kim (OR, Simulation)
• Shiwoo Lee (OR, CIM)
• R. Logen Logendran (OR, EMfg)
• David Porter