Subramanian Pazhani

Bio

Subramanian (Subbu) Pazhani is a Senior Data Scientist with the Applied AI & Modelling, R&D, SAS Institute, Cary, North Carolina. His main responsibilities include designing, developing, and implementing optimization-based solutions for a variety of industries including Health Care, Transportation, Manufacturing, and Education. Subbu is also an adjunct faculty member at the North Carolina State University and teaches Data Analytics for Industrial Engineers, and Design & Analysis of Production and Service Systems. He holds a Ph.D. in Industrial Engineering & Operations Research from the Pennsylvania State University, University Park & a Master’s degree in Supply Chain Management from IIT Madras, India. Prior to SAS, Subbu also has 6+ years of semiconductor manufacturing experience where he developed analytical and optimization models for improving wafer manufacturing operations, focused on improving cycle times, productivity, and variability reduction using optimization & dispatching.

His research areas include network design in closed loop supply chains, inventory optimization in supply chains, inventory routing problems, designing supply chains for resiliency, and dispatching and cycle time optimization in Semiconductor fabs. He has published a focus book titled Design and Analysis of Closed Loop Supply Chain Networks and contributed to book chapters. He has also published several research articles in prestigious peer-reviewed journals such as International Journal of Production Economics, Computers & Industrial engineering, International Journal of Production Research, Applied Mathematical Modelling, Applied Soft Computing, and International Journal of Operational Research.