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Undergraduate Research Opportunities in Manufacturing Engineering
Analysis and Management of Complex Systems
Pirooz Vakili, Associate Professor
http://www.bu.edu/pcms
vakili@bu.edu
Approximate Modeling and Efficient Simulation
The use of Monte Carlo simulation for performance evaluation, design, and improvement of the operation of systems is rapidly growing in many industries (e.g., manufacturing and supply chains, transportation, healthcare, finance). Monte Carlo simulation is also one of the important computational methods for addressing many scientific and engineering problems. There are two current research projects in this domain.
1) Approximate modeling of systems. The goal of this project is to develop very simple models of complex systems that are easy to simulate and study. The challenge is to develop simple models that capture enough of the essential features of the complex systems to make them relevant and useful for studying the systems. The model development and
simulation platform for this project is commercially available simulation software.
2) Efficient Simulation. The goal of this project is to develop new methodologies to improve the efficiency of Monte Carlo simulations and to reduce the total computational time that is needed to arrive at good estimates of
quantities of interest. Currently the test case models are drawn from computational finance and computational physics. Programming languages such as C, C++ and Matlab, and workstations and high-performance computing platforms are used in this project.
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