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Arunagiri P

Arunagiri P

Associate Professor

About

Dr. P. Arunagiri is a distinguished academician and researcher with over 23 years of extensive experience in engineering and management education. His career is marked by a deep commitment to operational excellence, with a specialized focus on Lean Management. He has enriched the academic environments of prestigious institutions, including VIT University, Dr. MGR University, and Saveetha University, where he has held key faculty positions.

His pedagogical expertise spans a comprehensive suite of core management disciplines. He is proficient in teaching Operations Management, Lean Management, Supply Chain Management, Quality Management, and Total Quality Management, effectively bridging the gap between theoretical frameworks and practical industrial applications.

Dr. Arunagiri’s research is centered on enhancing operational efficiency and integrating global best practices into engineering and management. His scholarly contributions are significant, with numerous publications in leading international journals that have collectively garnered over 597 citations, reflecting the impact and relevance of his work in the academic community.

A defining feature of his career is his global perspective, cultivated through international assignments and visits to world-renowned institutions. His engagements at Nanyang Technological University and the National University of Singapore, as well as the University of Pretoria in South Africa, have provided him with invaluable insights into diverse industrial and management cultures. These experiences have not only broadened his research horizons but also infused his teaching with a global outlook, preparing students to thrive in an interconnected world and he remains a dedicated educator and researcher, committed to driving efficiency and innovation in management practices.

rise, awake, and stop not until the goal is reached

Arunagiri, P., & Babu, A. G. (2014). Identification of major lean production waste in automobile industries using weighted average method. Procedia Engineering, *97*, 2167–2175.

Link: https://doi.org/10.1016/j.proeng.2014.12.460

Babu, A. G.., & Arunagiri, P. (2018). Ranking of MUDA using AHP and Fuzzy AHP algorithm. Materials Today: Proceedings, *5*(5), 13406–13412.

Link: https://doi.org/10.1016/j.matpr.2018.02.341

Arunagiri, P., & Babu, A. G. (2014). Identification of high impact lean production tools in automobile industries using weighted average method. Procedia Engineering, *97*, 2072–2080.

Link: https://doi.org/10.1016/j.proeng.2014.12.450

Arunagiri, P., & Babu, A. G. (2016). Identification of major lean waste and its contributing factors using the fuzzy analytical hierarchy process. Transactions of the Canadian Society for Mechanical Engineering, *40*(3), 371–382.

Link: https://doi.org/10.1139/tcsme-2016-0029

Arunagiri, P., & Babu, A. G. (2013). Review on reduction of delay in manufacturing process using Lean Six Sigma (LSS) systems. International Journal of Scientific and Research Publications, *3*(2), 1–5.
Arunagiri, P., Khan, M. A., & Jani, S. P. (2022). Structural analysis and materials deformations of landing gear. Materials Today: Proceedings, *60*, 2240–2244.

Link: https://doi.org/10.1016/j.matpr.2022.02.124

Babu, A. G., Arunagiri, P., Bharathiraja, G., & Jayakumar, V. (2017). Reduction of operator's loading and unloading time using lean systems for productivity improvement. International Journal of Mechanical Engineering and Technology, *8*(10), 207–216.
Arunagiri, P., & Babu, A. G. (2013). Investigation on critical factors assessment of the lean production systems in industrial environment. Proceedings of ICRTES, 450–453.
Suresh, P., Arunagiri, P., & Pravin, A. P. A. (2020). Experimental analysis of aluminium alloy LM25 with carbon in composite material. Materials Today: Proceedings, *33*, 7–12.

Link: https://doi.org/10.1016/j.matpr.2020.03.132

Arunagiri, P., Suresh, P., & Jayakumar, V. (2020). Assessment of hypothetical correlation between the various critical factors for lean systems in automobile industries. Materials Today: Proceedings, *33*, 35–38.

Link: https://doi.org/10.1016/j.matpr.2020.03.325

Arunagiri, P., & Babu, A. G. (2013). Implementation of lean manufacturing system in bogie assembly in railway coach factory. Applied Mechanics and Materials, *248*, 511–515.

Link: https://doi.org/10.4028/www.scientific.net/AMM.248.511

Khan, M. A., Arunagiri, P., & Prabu, G. A. S. (2020). Parametric investigation on a transonic axial compressor stage using CFD techniques. Materials Today: Proceedings, *33*, 912–918.

Link: https://doi.org/10.1016/j.matpr.2020.06.311

Muniappan, A., Bharath, T., Madhu, S., Arunagiri, P., & Shaqib, G. M. (2018). Parametric optimization of WEDM control variables on magnesium AZ91 alloy by TOPSIS method. IOP Conference Series: Materials Science and Engineering, *390*(1), 012109.

Link: https://doi.org/10.1088/1757-899X/390/1/012109

Arunagiri, P., & Babu, A. G. (2014). 12th Global Congress on Manufacturing and Management. GCMM.
Babu, A. G., Arunagiri, P., Dharmaraj, D., & Ananth, S. (2017). Implementation of robotic welding for the improvement of production systems. International Journal of Engineering Trends and Technology, *49*(5), 299–304.
Arunagiri, P., & Babu, A. G. (2016). Comparative analysis of AHP and Fuzzy AHP results for the identification of lean waste. International Conference on Advanced Materials and Manufacturing.
Jeevanesan, S., Arunagiri, P., & Selvan, A. (2025). ARIMA forecasting and decision tree approach for composite materials research: A comprehensive review. Conference Proceedings of ICAIML 2025, *1*(1), 38–42.
Manjunath, P., Rao, S. P., & Arunagiri, P. (2019). Investigations on significance of CNT's orientation on CNT based silk nanocomposites through FEA method. International Journal of Mechanical and Production Engineering Research and Development, *9*(Special Issue), 1–10.
Saikiran, P., & Arunagiri, P. (2019). A structural analysis of a connecting rod using FEA. International Journal of Mechanical and Production Engineering Research and Development, *9*(Special Issue), 11–18.
Shanmuganandam, K., Jayakumar, V., & Arunagiri, P. (2018). Experimental investigation of performance of 3 kW pyrolyser. International Journal of Pure and Applied Mathematics, *119*(7), 737–743.

Core Research Focus: Lean Management, Operational Efficiency, Waste Reduction, and Global Practices in Engineering and Management.

Lean Waste Identification: Developed and applied the Weighted Average Method and Fuzzy Analytical Hierarchy Process (F-AHP) to identify and rank major lean production wastes (MUDA) in the automobile industry.

Lean Tools Prioritization: Employed multi-criteria decision-making techniques like AHP and Fuzzy AHP to identify and rank high-impact lean production tools for effective implementation.

Lean-Six Sigma Integration: Explored the application of Lean Six Sigma (LSS) systems to reduce delays and improve manufacturing process efficiency.

Process Improvement: Investigated the reduction of operator loading/unloading time and implemented robotic welding to enhance overall productivity in manufacturing systems.

Research Impact: Authored 20+ publications in leading international journals and conference proceedings, with over 597 cumulative citations, demonstrating significant scholarly influence.

Global Collaboration: Leveraged international exposure at NUS, NTU, and the University of Pretoria to incorporate global best practices into his research on engineering and management systems.

Research Interests

Lean Management – Identification, analysis, and elimination of waste (MUDA) in manufacturing and service sectors using advanced analytical tools.

Operational Efficiency – Process optimization, productivity improvement, and reduction of delays in industrial operations.

Lean Six Sigma (LSS) – Integration of Lean and Six Sigma methodologies for quality improvement and defect reduction in manufacturing processes and Statistics.

Supply Chain Management – Enhancing supply chain performance through lean principles and operational strategies.

Quality Management – Implementation of Total Quality Management (TQM) and quality improvement frameworks in industrial environments.

Achieved 597+ citations in the google scholar citations.

Arunagiri P

Associate Professor

B.E, M Tech (Manufacturing Engg & Management), PhD (Lean Management)

School of Economics and Business

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