Lean Manufacturing and Management;
Discrete Event Simulation.
My research interest lies in the following two aspects:
1. Lean Scheduling
On time delivery is a critical aspect of lean concept. It is vital to the continuation of the production effort as it eliminates time uncertainty in the production stream. In today's world, with nearly 80% of the cost to manufacture flowing through the supply chain, manufacturers cannot ignore the economic value of precision and they must constantly resolve any weaknesses in their own on time delivery performance.
I am interested in achieving system level on time delivery through better job scheduling. My research aims to identify the assignable causes of delay uncertainty in the system and to design proper scheduling rules to promote production efficiency.
2. Simulation Optimization
Many engineering systems in areas such as manufacturing are too complex to be modeled analytically. Discrete event simulation has long been a useful tool for evaluating the performance of such systems. Simulation optimization is the process of finding the best values of some decision variables for a system where the performance is evaluated based on the output of a simulation model of this system.
My research interest is in the theoretical aspect of simulation optimization. Specifically, I am interested in developing algorithms that enable faster global convergence, create more reliable search path and provide better estimate on the solution quality.
Selected Recent Publications