Free ticketed event
Monte Carlo Simulation is a powerful technique for modeling the behavior of complex systems ranging from microelectronics to financial markets, yet can be remarkably simple to incorporate into undergraduate engineering courses. This workshop teaches participants how to use readily-available Monte Carlo Simulation software in the classroom through hands-on tutorials.
This workshop is designed for instructors from any engineering discipline who teach undergraduate courses where a Systems- or Design-Thinking approach is useful. Cross-disciplinary courses such as Engineering Economy, gateway engineering design courses, and applied mathematics courses are particularly well-suited for integrating Monte Carlo Simulation. The techniques and simulation projects covered in this workshop have been applied successfully in undergraduate courses. This workshop is designed to give participants the knowledge and confidence to integrate Monte Carlo Simulation techniques into existing assignments and to develop new assignments that add depth and richness to a course’s content. Workshop topics and activities are:
• Introduction to Monte Carlo Simulation and its applications.
• Brief review of probability & statistics concepts that are essential to Monte Carlo Simulation.
• Building simple probability models using Microsoft Excel and Oracle Crystal Ball.
• Completing one or more advanced tutorials that cover constructing simulation models, running a simulation, analyzing results, and performing optimization. Tutorial topics to choose from include:
- A financial analysis for planning your retirement.
- Design and analysis of an electrical circuit.
- Design of an electrical transmission line.
- Analyzing a quality control problem for a manufacturing operation.
• Discuss best-practices for designing, implementing, and assessing assignments.
• Learn about some of the advanced features of the software, plus helpful modeling tips and workarounds for some of the common problems that arise when first beginning to use Monte Carlo Simulation.
This is a hands-on workshop that requires the use of a laptop computer. A temporary license for the simulation software will be provided to you at no charge.
Dr. James Burns
Jim joined the faculty at Purdue Polytechnic in 2015 after completing a Ph.D. in Industrial Engineering from Western Michigan University, and has more than 10 years industry experience in the manufacturing sector in a variety of roles including process engineering, operations management, and technical sales. His area of expertise centers on applying OR/MS and Simulation techniques to Supply Chain & Operations Management problems, and has also conducted research in the areas of Human Factors and Work Design for evaluating time and motion efficiency in operations. Jim also holds an undergraduate IE degree and a Six Sigma Greenbelt.
Dr. Bob E. White P.E.
Bob White has a Ph.D. in Engineering Valuation from Iowa State University (1980). He is currently a professor of Industrial and Entrepreneurial Engineering & Engineering Management at Western Michigan University. His interests include entrepreneurial engineering, engineering economy, capital budgeting, and operations control. Dr. White is actively involved as a consultant to industry having been involved with numerous companies. Dr. White has over 20 journal publications and more than 50 articles in conference proceedings. Some of Dr. White’s journal publications include The Engineering Economist, Computers and Industrial Engineering, The International Journal of Modeling and Simulation, and The International Journal of Production Research. His professional affiliations include or have included IISE, ASEE, and SME.
Dr. Azim Houshyar
Azim Houshyar has a PhD in Industrial and Systems Engineering from the
University of Florida. He is currently a Professor of Industrial and
Entrepreneurial Engineering at Western Michigan University. His interests include
simulation methodology, reliability engineering, application of operations research
to manufacturing processes, and production control.