Dr. Anbuudayasankar S. P. received his Ph. D. in Mechanical Engineering from Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore in 2011. His dissertation was titled, Unified Heuristics for a Class of Complex and Practical Routing Problems in Logistics, which won the best thesis award at the Fourth Conference on Global Advances and Innovations in IT and Management in Gwalior. He holds M. E. in Industrial Engineering, from National Institute of Technology, Tiruchirappalli, M. B. A. from Madurai Kamaraj University, Madurai and B. E. in Mechanical Engineering from Bharathiar University, Coimbatore in 1995.

He is having 12 years of teaching experience in various engineering colleges. He joined AMRITA in 2004 as lecturer and promoted as Associate professor in 2011. He served as NSS Program Officer for three years in Amrita School of Engineering and NSS Program Coordinator for three years for Amrita Vishwa Vidyapeetham.

Dr. Anbuudayasankar has published twelve research articles in international journals, ten at international conferences and six at national conferences. He has also written a Chapter in the book published by IGI Global Publishers and a white paper for the University of Sheffield, UK. In addition, he has published two special issues in International Journals as the Guest editor of Inderscience Publishers and Chief and Associate Editor of Two International Journals of Serial Publications.

He is a reviewer for many journals of the journals like European Journal of Operational Research (an Elsevier Publication), OMEGA – The Journal of Management Science, International Journal of Systems Sciences (IJSS) – Taylor and Francis Publishers, International Journal of Logistics Economics and Globalization (IJLEG) – Inderscience Publishers, International Journal of Value Chain Management (IJVCM) – Inderscience Publishers, International Journal of System Dynamics and Application (IJSDA) – IGI Global Publishers, etc.

He has attended several International and National Workshops organized by premier Industries and Institutions. He has chaired few International and National Conferences and jury for the academic competitions and been a guest speaker for numerous times. He is a Life Member of the Indian Society for Technical Education (ISTE).


Publication Type: Journal Article

Year of Publication Title


N. V Kumar, Raja, R. S. Pranav, Sanjeevi, K. S., Dr. Anbuudayasankar S. P., and Srihari S., “Multi-Criteria Engine Selection for Unique Purpose using AHP”, IOP Conference Series: Materials Science and Engineering, International Conference on Advances in Materials & Manufacturing Applications, IConAMMA 2018, vol. 577, p. 012118, 2019.[Abstract]

In this automotive world the selection of a vehicle based on engine plays a major role, in which all the parameters of the engine need to be considered. The engine selection for three purposes has been considered in this paper. Most influencing 10 parameters of each purpose have been shortlisted with the help of experts in the respective field. Then the parameters are ranked with the help of Analytical Hierarchy Process (AHP). It helps to prioritise the parameters while selecting an engine for specific purpose. In AHP the relative matrix is formed by using pairwise comparison with the help of experts then the relative matrix is squared and eigen vector is found. The eigen vector is used to rank the parameters and is reported as per the priority for the respective purpose. The method proposed in this paper can be used as a decision-making tool while selecting an engine for a specific purpose.

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B. M. M. S. R. S., Dr. Ratna Kishore V., Dr. Anbuudayasankar S. P., and Balaji K., “Power generation by high head water in a building using micro hydro turbine—a greener approach”, Environmental Science and Pollution Research, 2015.[Abstract]

Demand for green energy production is arising all over the world. A lot of emphasis is laid in making the buildings green. Even a small amount of energy savings made contribute to saving the environment. In this study, an idea is proposed and studied to extract power from the high head water in the pipelines of a building. A building of height 15 m is considered for this study. Water flowing in the pipe has sufficient energy to run a micro hydro turbine. The feasibility of producing electrical energy from the energy of pipe water is found. The motivation is to find the feasibility of generating power using a low-cost turbine. The experimental setup consists of micro turbine of 135 mm diameter coupled to a 12-V DC generator; LEDs and resistors are employed to validate the results. The theoretical calculations were presented using the fundamental equations of fluid mechanics. The theoretical results are validated using experimental and numerical results using CFD simulation. In addition, exergy analysis has been carried out to quantify the irreversibilities during the process in the system. © 2015 Springer-Verlag Berlin Heidelberg

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Publication Type: Conference Proceedings

Year of Publication Title


Prashant R. Nair and Dr. Anbuudayasankar S. P., “Tackling Supply Chain through High Performance Computing: Opportunities and Challenges”, Silicon Photonics {&} High Performance Computing, vol. 718. Springer Singapore, Singapore, pp. 1-7, 2018.[Abstract]

Conversion of a supply chain to value chain requires agility, adaptability, communication, collaboration, decision support, elasticity, robustness, sensitivity, and visibility. High-Performance Computing (HPC) and cloud computing systems bring additional benefits of scalability, integration, portability, processing power, storage, and interoperability for Supply Chain Management (SCM). Mega corporations and retail giants like Wal-Mart and Pratt {&} Whitney have deployed HPC for SCM and thereby achieved efficient and effective data administration and analysis. But the usages of HPC for SCM are restricted to a few large enterprises. Deployment challenges include difficulty in migrating from legacy to high-end systems, high cost, lack of skilled manpower, and application software. HPC along with the cloud computing paradigm integrated in the Social Mobile Analytics and Cloud (SMAC) stack can emerge as a game changer to integrate all stakeholders in the value chain into a social network real-time and actionable intelligence. The access to updates and timely information from all supply chain partners will also transform enterprises to be forecast-driven as opposed to their conventional demand-driven nature.

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Publication Type: Conference Paper

Year of Publication Title


A. Nair, Murali, K., Dr. Anbuudayasankar S. P., and Arjunan, C. V., “Modelling and Optimising the Value of a Hybrid Solar-Wind System”, in IOP Conference Series: Materials Science and Engineering, 2017, vol. 197.[Abstract]

In this paper, a net present value (NPV) approach for a solar hybrid system has been presented. The system, in question aims at supporting an investor by assessing an investment in solar-wind hybrid system in a given area. The approach follow a combined process of modelling the system, with optimization of major investment-related variables to maximize the financial yield of the investment. The consideration of solar wind hybrid supply presents significant potential for cost reduction. The investment variables concern the location of solar wind plant, and its sizing. The system demand driven, meaning that its primary aim is to fully satisfy the energy demand of the customers. Therefore, the model is a practical tool in the hands of investor to assess and optimize in financial terms an investment aiming at covering real energy demand. Optimization is performed by taking various technical, logical constraints. The relation between the maximum power obtained between individual system and the hybrid system as a whole in par with the net present value of the system has been highlighted. © Published under licence by IOP Publishing Ltd.

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