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- Characterizing, monitoring, and adjusting a process during
transition periods in manufacturing contexts
- Process transition model and identification of the start and
end of the transition
- Simultaneous monitoring and control during the transition
- Decision suport model using discrete-event simulation
- See articles # 1, 2, 3, 5, 6, 7, 8, and 10 on the publications page
- Models for phenomenological transtions in an on-line data
acquisition environments
- Development of adaptive forecast-based monitoring model for dynamic
systems
- Color transition system for a polymer extrusion process that uses
imaging software for on-line color data collection
- See articles # 9, 13, 15, and 18 on the publications page
- Reducing variation in systems with anticipated causes using
experimental design (DOE) and statistical control
- Design a new methodology for using DOE, EPC, and SPC in a unified
way to acheive efficient control and monitoring of industrial processes
- Develop a taxonomy of adjustment equations and Cuscore monitoring
policies for the most frequent scenarios found in industry
- Investigate the robustness properties of Cuscore policies
- Detecting expected causes in seasonal data
- See articles # 12, 14, 17, 21, 22, 23, and 24 on the publications page
- Extensions of financial engineering theory to quality and
manufacturing operations to improve flexibility
- Framework for capturing the value of manufacturing flexibility
using real options
- Real options model for two and three variables inthe case of no
switching costs and immediate decsion implementation
- Real options model for three variables in the case of switching
costs and time lagged decision implementation
- See articles # 4, 11, 16, 19, and 20 on the publications page
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