Applied operations research, Data mining, Production planning and control, Systems simulation, and Engineering economics analysis, Logistics & supply chain management.
Applied Operations Research
The main focus is to effectively and efficiently solve application problems using existing, modified or newly developed optimization tools. Various applications of interest include, but are not limited to, 1) resource-constrained project scheduling problems in project management; 2) parallel replacement problems in engineering economic decision analysis; 3) vehicle routing, facility location, and supply chain optimization in logistic and supply chains, and 4) production planning and controls in manufacturing and agro-industrial plants.
Data Analysis for Process/Product Optimization and Improvement
Process and product can be optimized or improved by using the information contained in the process data. Data analysis tools of interest include statistical data analysis, design and analysis of experiments, statistical process control, statistical sampling, and data mining.
Systems Simulation Modeling and Analysis
The research involves modeling of actual and large complex systems using computer simulations and conducting analyses on the simulation models. The objectives are to study and predict the behavior of actual systems, to improve/optimize the performance of existing systems, or to design new systems.