M.S. Narassima

Faculty

M.S. Narassima

Assistant Professor

Area of Expertise: Supply Chain Management, Operations Management, Sustainability, Manufacturing Systems.

Narassima M. S. is an Assistant Professor of Operations at the Great Lakes Institute of Management, Chennai. He completed his Ph.D. in Supply Chain, M.Tech in Manufacturing Engineering, and B.Tech in Mechanical Engineering from Amrita Vishwa Vidyapeetham, Coimbatore. He has industrial experience in data analytics, system modelling, supply chain, etc. Presently, he has 40 International publications that includes journal articles, conference proceedings, and book chapters. He managed the projects for the Department of Social Defense (Govt. of Tamil Nadu) and the Department of Social Welfare (Govt. of Tamil Nadu and UNICEF). His commitment to teaching facilitates him to religiously mentor the students within and outside the classes. He likes to take up real-time problems and provide solutions to improve functional and operational effectiveness, largely using quantitative methods and simulation techniques. His research areas include Supply Chain Management, Simulation and Modelling, Sustainability, Production and Operations Management, Public Health, etc.

Google Scholar Profile:
https://scholar.google.com/citations?hl=en&user=RDFCAzYAAAAJ

Research Interests

Supply Chain Management, Manufacturing Engineering, Modelling and Simulation, Public Health, Sustainability.

Peer - reviewed Journal Articles

Published

Muralidharan K., Vignesh V., Vignesh R.V., Govindaraju M., Baghad A., Narassima M.S., Suyambulingam I., Siengchin S. (2024). Comprehensive Overview of Nano, Micro, and Macro Tribometers in Practice. Journal of Bio-and Tribo-Corrosion. 10(3), 44. (Scopus Q1)
M.S. Narassima, Paramita Bhattacharya, Denny John, Nirmalya Mukherjee. Development of a web-based calculator to estimate DALY and Productivity Losses due to COVID-19. (2024). Clinical Epidemiology and Global Health.
Dwarakanath Madhava Rao, Vidyadhar V. Gedam, Kadirvelu Krishna, M.S. Narassima, P. Prabhu, Nandi Varman. (2023). Climate Change management in Manufacturing Industry- A Greenhouse Gas Incentivization and Mitigation Approach. Journal of Indian Business Research. (ABDC – C; R&R submitted)
Paramita Bhattacharya, Denny John, Nirmalya Mukherjee, M.S. Narassima, Jaideep Menon, Amitava Banerjee. (2023). Non-Health Gross Domestic Product (NHGDP) Loss Due To Covid-19 Deaths in West Bengal, India. BMJ Open. (Scopus Q1)
Nirmal, K. R., Rangasami, P., Priya, V., Narassima, M. S. (2024). Effect of Socio Dynamic Aspects of Peer Influences amongst Day Scholars and Boarders of Senior Secondary Schools in Tamil Nadu. Onomázein, (63 (2024): March), 136-148.
Arjun Krishna, Mithun Suresh, Rohith Sankar, Mohit V. Shah, M.S. Narassima, S.P. Anbuudayasankar, M. Thenarasu. (2023). An Analysis of the Factors Influencing Sustainable Online Food Delivery. Journal of Foodservice Business Research. (ABDC – C)
M. S., Narassima; V, Aashrith; C, Aldo Ronald ; SP , Anbuudayasankar; M, Thenarasu. Implementation of lean principles in the Yarn Manufacturing Industry: A System Dynamics Approach. Benchmarking. (ABDC – B; Scopus Q1)
M.S. Narassima, Vidyadhar Gedam, Angappa Gunasekaran, S.P. Anbuudayasankar, M. Dwarakanath. A novel Coexistent Resilience Index to evaluate the Supply Chain Resilience of Industries using Fuzzy Logic. Supply Chain Management. (Scopus Q1; ABDC – A)
Balkumar, K., Himateja, M., Gedam, V., Narassima, M.S., Anbuudayasankar, S.P., Ganesh, K., & Pazhani, S. Prevalence and future trend in green supply chain management (GSCM): a systematic literature review. Benchmarking. (Scopus Q1; ABDC – B)
D.R. Harish, Gowtham T, Amirthan Arunachalam, M.S.Narassima, D. Lamy, M. Thenarasu. Productivity and Process Improvement in a Multimodel Assembly Line using Lean Principles and Simulation. Journal of Engineering Manufacture. (Scopus Q1)
Narassima, M.S., Anbuudayasankar, S.P., & Vineesh, D. Dairy Industry in India – Impact Assessment, Simulation, and Empirical study. International Journal of Logistics Systems and Management.
Aathira, T., Rangasami, P., & Narassima, M.S. (2023). Situational Analysis and Conceptual Model development of Crimes against Women and Children. International Journal of Sustainable Society, 15(1), 75-95.
Denny John, M.S. Narassima, Paramita Bhattacharya, Nirmalya Mukherjee, Amitava Banerjee, Jaideep Menon. (2023). Model-based estimation of burden of COVID-19 with disability-adjusted life years and value of statistical life in West Bengal, India. BMJ Open. 13:e065729. doi: 10.1136/bmjopen-2022-065729 (Scopus Q1)
Sreekumar, S., Narayan S.R., Devnath, E.S., Ganesh, K., Anbuudayasankar, S.P., Sathish Kumar, V.R., & Narassima, M.S. (2022). Green GAS Heuristics for the Routing Problem. International Journal of Logistics Systems and Management, 43(3), 317-335.
Narassima, M.S. & Shriram, K.V. (2023). A Novel Statistical Approach to an Event Management A study and analysis of a Techfest with suggestions for improvements. International Journal of Advanced Intelligence Paradigms, 24(1-2), 49-69.
Narassima, M.S., Prashant R.N., Anbuudayasankar, S.P., & Ganesh, K. (2022). Information and Communication Technology application in Supply Chain Management: A Literature Review. International Journal of Enterprise Network Management. 13(3). 265-285. (ABDC – B)
Karthick, K., Ajit A.B., Subramanian, V., Narassima, M.S., Anbuudayasankar, S.P., & Hariharan, D. (2022). Maximising profit by waste reduction in postharvest Supply Chain of Tomato. British Food Journal. https://doi.org/10.1108/BFJ-06-2021-0702. (Scopus Q1; ABDC – B)
Narassima, M.S., Shriram, K.V., & Anbuudayasankar, S.P. (2022). Development of a priority dispatching rule and novel production scheduling algorithm for a job shop. International Journal of Computer Aided Engineering and Technology, 16(4), 417-449.
Narassima, M.S., Anbuudayasankar, S.P., Jammy, G.R., Sankarshana, A., Pant, R., Choudhury, L., Yeldandi, V., Singh, S., & John, D. (2022). An Agent-Based Model to Assess COVID-19 Spread and Health Systems Burden. International Journal of Electrical and Computer Engineering, 12(4), 4118-4128.
Narassima, M.S., Balaji, K.S., Ramasubramanian, B., & Anbuudayasankar, S.P. (2022). Modeling and Simulation of vaccine distribution: A COVID-19 situation. International Journal of Simulation and Process Modelling. 17(4), 303-318.
Narassima, M.S., Anbuudayasankar, S.P., Mathiyazhagan, K., Ganesh, K., & Lee, T.R. (2022). Supply Chain Resilience: Conceptual Model Building and Validation. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2022.2056584. (ABDC – B, Scopus Q1)
Narassima, M.S., Shriram, K.V., Vimalkumar, K., & Anbuudayasankar, S.P. (2022). Blockchain based Seamless end-to-end Shipping with Android Application. International Journal of Internet Technology and Secured Transactions, 12(3), 265-285.
John, D., Panchal, S., Menon, G.R., Shaw, T., & Narassima, M.S. (2022). Mathematical Models on COVID-19 in India: A Systematic Review protocol. F1000 Research. https://doi.org/10.12688/f1000research.109518.1. (Scopus Q1)
Narassima, M.S., Anbuudayasankar, S.P., Shriram, K.V., & Thenarasu, M. (2022). Performance improvement in Cardiology department of a hospital by Simulation. International Journal of Advanced Intelligence Paradigms, 22(1/2), 1-20.
Narassima, M.S., Jammy, G.R., Pant, R., Choudhury, L., Aadharsh, R., Anbuudayasankar, S.P., & John, D. (2021). An Agent Based Model for assessing transmission dynamics and health systems burden for COVID-19. Indonesian Journal of Electrical Engineering and Computer Science. 24(3), 1735-1743.
John, D., Narassima, M. S., Menon, J., Rajesh, J. G., & Banerjee, A. (2021). Estimation of the economic burden of COVID-19 using disability-adjusted life years (DALYs) and productivity losses in Kerala, India: a model-based analysis. BMJ Open, 11(8), e049619. (Scopus Q1)
Rangasami, P., Khumar, A. R. S., Narassima, M. S., & Anbuudayasankar, S. P. (2020). Analysing the process of Social Reintegration of Children in India. Journal of Critical Reviews, 7(5), 2081-2096.
Narenthiran, N., Prasanna, P., Poongkundran, T., Anbuudayasankar, S. P., Narassima, M. S., & Aravind, P. (2020). An analysis of various factors influencing postharvest losses of the fruit and vegetable supply chain. International Journal of Postharvest Technology and Innovation, 7(4), 295-318.
Narassima, M. S., Ilangovan, S., Anbuudayasankar, S. P., & Pavithran, P. (2019). Effect of reinforcement and aging time on wear behavior and mechanical properties of Aluminium LM4. International Journal of Engineering and Advanced Technology, 8(5), 2426-2433.
Venkatramanan, M., Anbuudayasankar, S. P., & Narassima, M. S. Enhancement of Operational Performance of a Foundry. (2019). International Journal of Engineering and Advanced Technology, 8(5), 2325-2333.
Kaka, H. K., Srujan, P. K. S., Narassima, M. S., & Anbuudayasankar, S. P. (2019). Productivity Improvement of An Assembly Line using MOST and Heuristic. International Journal of Innovative Technology and Exploring Engineering, 8(9), 2278-3075.
Sathish, N., Anbuudayasankar, S.P., Deepan, M., & Narassima, M.S. (2019). Procurement Methodologies to Optimize the Inventory Levels of Spare Parts. International Journal of Recent Technology and Engineering, 8(3), 2277-3878.
Saravanan, A. M., Anbuudayasankar, S. P., David, P. A. W. & Narassima, M.S. (2019). Forecasting Techniques for Sales of Spare Parts. International Journal of Recent Technology and Engineering, 8(3), 27-30.
Narassima, M. S., Anbuudayasankar, S. P., Vasudevan, S. K., & Abhinavaram, J. (2017). Physicians’ and users’ perceptions towards wearable health devices. Indonesian Journal of electrical engineering and computer science, 5, 234-242.

Accepted

M.S. Narassima, S.P. Anbuudayasankar, Vidyadhar V. Gedam, Prashant R. Nair, M. Dwarakanath. Simulating the effects of repurposing to combat the COVID-19 pandemic – A case of an Automobile Component Manufacturer. Operations Management Research. (ABDC – C)
Kiruthiga, S., Sridharan, B.K., Balaji, K.S., Karthick, K., Narassima, M.S., & Anbuudayasankar, S.P. Sustainable Urban Planning using Green Logistics and Effective Garbage Disposal. International Journal of Logistics Systems and Management.

Conference Series

Published

Vineesh, D., Anbuudayasankar, S. P., & Narassima, M. S. (2018, February). Enhancing Dairy Manufacturing through customer feedback: A statistical approach. In IOP Conference Series: Materials Science and Engineering (Vol. 310, No. 1, p. 012097). IOP Publishing.

Accepted

Vasanthakumar, B., Subramanian, M.P., Anbuudayasankar, S.P., & Narassima, M.S. Productivity Improvement through Assembly Line Integration – A simulation and lean driven approach. Materials Today: Proceedings.

Under Review

Vikash, V., Sahithya, P., Jayashuriya, M., Aswin, S., Akaash, R., Narassima, M.S., & Anbuudayasankar, S.P. Exploring the Facets of Supply Chain Flexibility – Conceptual Modeling. Benchmarking. (ABDC – B; Scopus Q1; R&R received)
M.S. Narassima, Vidyadhar V. Gedam, S.P. Anbuudayasankar, M. Dwarakanath, Thenarasu M. Socioeconomic and Health Economic Impacts to measure Resilience and guide Policymaking: A case of COVID-19. Journal of Cleaner Production. (ABDC- A; Scopus Q1; R&R submitted)
Vandana Pai, Jacob Rousseau, M. Thenarasu, M.S. Narassima, Vidyadhar V. Gedam. Simulation-Based Analysis of Performance Measures for Various Inventory Policies in Closed Loop Supply Chain. Journal of Enterprise Information Management. (ABDC- A; Scopus Q1)
Narassima, M.S., Anbuudayasankar, S.P., Baruk, Agnieszka Izabela, Karthick, K., Ajit A.B., Subramanian, V., & Hariharan, D. A Multi-staged Triple Bottom Line Framework to Improve Sustainability of Paddy Supply Chain. Technological Forecasting and Social Change. (ABDC- A; Scopus Q1; R&R received)
Ajil Shaji, M. S. Narassima, Keechilat Pavithran,D.K. Vijaykumar, Vivek Verma, Denny John. Projection of Age-Standardised Mortality Rates for 23 cancer types in India: A Nationwide Projection to 2030. The Lancet Regional Health - Southeast Asia.
M.S. Narassima, Denny John, S.P. Anbuudayasankar, Guru Rajesh Jammy, Rashmi Pant, Lincoln Choudhury. SHIVIR - An Agent-Based Model to assess the transmission of COVID-19 in India. Journal of Simulation. (ABDC – B; Scopus Q1)
Narassima M.S, Aashrith V., Aldo Ronald C., Anbuudayasankar S.P., Thenarasu M. Enhancing the Productivity of Mould Shop using Continuous Improvement Tools and Simulation. Benchmarking. (ABDC – B; Scopus Q1)

Book Chapter(s) (if any)

Kishore, R., Pradeep, R., Roy, S., Teja, K. R., Narassima, M. S., Ganesh, K., & Anbuudayasankar, S. P. (2021). Eco-Efficiency and Business Performance Evaluation—Lean and Green Manufacturing Approach. In Intelligent Manufacturing and Energy Sustainability (pp. 779-789). Springer, Singapore.
Shriram Kris Vasudevan, T.S. Murugesh, M.S. Narassima, Nitin Vamsi Dantu, Siniraj Pulari & Sunandhini Muralidharan. A deep learning approach for the sales prediction in retail stores: An end-to-end analysis and implementation. Signals and Communication Technology.

Working papers

M.S.Narassima, S. Manikandaprabu, S.P. Anbuudayasankar, T. Sakthi Nagaraj, M.Thenarasu. Analysis of the Integration of Lean and Green Principles for Textile Industries.
Narassima M.S, Rohith Sankar P, Mithun Suresh, Mohit V Shah, Arjun Krishna, S P Anbuudayasankar, Thenarasu M. Minimisation of Losses in Post-Harvest of Fresh Produce Supply Chain.
M S. Narassima, Anbuudayasankar, M. Thenarasu. Analysis of drivers and barriers in Agile Supply Chain.
Dwarakanath Madahva Rao, Kadirvelu Krishna, Narasimma M.S. Prabhu P., Nandi Varman, Golda Edwin. Case study of GHG reduction and sustainable solutions in a Scaffold Manufacturing Industry in Puducherry region, India.
Dwarakanath Madahva Rao, Kadirvelu Krishna, Narasimma M.S, Nandi Varman. Case study of GHG reduction and sustainable solutions in a Detergent Manufacturing Industry in Puducherry region, India.
Umayal Karpagam, Narassima M.S. Achieving Environmental Sustainability: An E-commerce Perspective.
Vidya, M., Chandrika, R., Narassima, M.S. Effect of bans on unsustainable practices across Manufacturing Industries in India.
Mohanraj. T, Sai Bharath. R, M.S. Narassima. Internet of Things Based Online Tool Condition Monitoring System using Machine Learning Algorithms.