Subramanian (Subbu) Pazhani

Lecturer

Subramanian (Subbu) Pazhani joined NC State’s Department of Industrial and Systems Engineering as an adjunct faculty member in January 2023. He is a Senior Operations Research Specialist with the Analytics Center of Excellence, 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 currently teaches Data Analytics for Industrial Engineers, and Design and Analysis of Production and Service Systems at NC State.

Prior to SAS, Pazhani also has 6+ years of semiconductor manufacturing experience where he developed analytical and optimization models for improving wafer manufacturing operations. His projects were focused on improving cycle times, productivity, and variability reduction using optimization and dispatching techniques.

Pazhani currently serves as an Associate Editor in the International Journal of Green Computing, and the International Journal of Enterprise Network Management and reviewer in international journals including Annals of Operations Research, Benchmarking: An International Journal, Journal of Cleaner Production, and Computers and Industrial Engineering.

Research Interests

Pazhani’s research areas include network design in closed loop supply chains, inventory optimization in supply chains, inventory routing problems, dispatching and cycle time optimization in Semiconductor fabs. His work has been published in prestigious 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. He has also published a focus book titled Design and Analysis of Closed Loop Supply Chain Networks.

Education

DegreeDegreeSchoolYear
Ph.D.Industrial Engineering and Operations ResearchPenn State University2014
MSOperations and Supply Chain ManagementIndian Institute of Technology2011
BSIndustrial EngineeringCollege of Engineering Guindy, Anna University2009

Awards and Honors

  • 2022 |Industry Advisory Board Member, Consortium for Digital Enterprises, Penn State University
  • 2016 | Research Grant, “A bi-objective robust optimization model for supply chain network design” project, National Science and Technology Department Agency, Funding # FDA-CO-2559-1171-TH, Project # SCH-NR2015-202
  • 2012 | Finalist, Dow Sustainability Innovation Challenge Award (SISCA), Penn State University
  • 2011 | Marcus Fellowship, Department of Industrial and Manufacturing Engineering, Penn State University
  • 2009 – 2011 | Research Assistantship, Ministry of Human Resources and Development, Government of India

Publications

Prevalence and future trend in green supply chain management (GSCM): a systematic literature review
Balkumar, K., GEDAM, V. I. D. Y. A. D. H. A. R., Himateja, M., ANBUUDAYASANKAR, S. P., S, N. M., Ganesh, K., … Pazhani, S. (2023), Benchmarking: An International Journal. https://doi.org/10.1108/bij-06-2022-0363
An application of interactive fuzzy optimization model for redesigning supply chain for resilience
Kungwalsong, K., Mendoza, A., Kamath, V., Pazhani, S., & Marmolejo-Saucedo, J. A. (2022), Annals of Operations Research, 315(2), 1803–1839. https://doi.org/10.1007/s10479-022-04542-5
Coordination of pricing and inventory replenishment decisions in a supply chain with multiple geographically dispersed retailers
Adeinat, H., Pazhani, S., Mendoza, A., & Ventura, J. A. (2022), International Journal of Production Economics, 248, 108461. https://doi.org/10.1016/j.ijpe.2022.108461
Design and Analysis of Closed-Loop Supply Chain Networks
Pazhani, S. (2021). , . Retrieved from https://books.google.com/books?id=FNQhEAAAQBAJ
Multi-period multi-product closed loop supply chain network design: A relaxation approach
Pazhani, S., Mendoza, A., Nambirajan, R., Narendran, T. T., Ganesh, K., & Olivares-Benitez, E. (2021), Computers & Industrial Engineering, 155, 107191. https://doi.org/10.1016/j.cie.2021.107191
CAR: heuristics for the inventory routing problem
Nambirajan, R., Mendoza, A., Pazhani, S., Narendran, T. T., & Ganesh, K. (2020), Wireless Networks, 26(8), 5783–5808. https://doi.org/10.1007/s11276-020-02259-6
Volume-based Prioritization for Lot Dispatching and Mathematical Model Based Lot Scheduling for Nikon Tools
Pazhani, S., Beeg, T., Zmithrovitch, K., & Lazo, N. (2019), Cree | Wolfspeed Innovation Summit. Poster presented at the Cree | Wolfspeed Innovation Summit, Raleigh, NC.
A bi-criteria mixed integer linear programming model for load balancing and chemical saving in wafer cleaning processes: IE: Industrial engineering
Pazhani, S., Beeg, T., Kowalczyk, K., & Dietrich, T. (2018), 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC). https://doi.org/10.1109/asmc.2018.8373188
A bi-criteria model for closed loop supply chain network design
Pazhani, S., & Ravindran, A. R. (2018), International Journal of Operational Research, 31(3), 330. https://doi.org/10.1504/ijor.2018.089735
Method and system to automatically generate throughput for semiconductor tools
, . (2018, January 1).

View all publications via NC State Libraries

Subramanian Pazhani