The LSAPS lab is led by Prof. Leyuan Shi and consists of her PhD students and visiting scholars. The researches include developing theory and methodologies for design and optimization of complex systems such as supply chain networks, manufacturing systems, transportation systems and healthcare delivery systems. Researches in this lab consist of modeling, optimization and implementation of solutions to various systems integration problems. Problem categories include, discrete vs. continuous, deterministic vs. stochastic and prescriptive vs. descriptive.
Of particular interests to our researches are large-scale mixed integer models and simulation models arising from a wide spectrum of application domains. Our interests in these areas have spanned three levels: semantic modeling and design of systems, sensitivity analysis via discrete-event simulation and control and optimization. We have recently developed an optimization methodology called Nested Partitions Method, and successfully implemented in many real world systems. Research projects using the Nested Partitions Method include, but are not limited to:
- Large-Scale Jobshop Planning and Scheduling
- Transportation and Logistic Planning
- Radiation Treatment Planning