Ramesh Krishnan

Teaching

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• Supply Chain Management
• Operations Management
• Operations Research
• Supply Chain Analytics

Significant Publications

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Krishnan, R., Phan, P. Y., Krishnan, S. N., Agarwal, R., & Sohal, A. (2024). Industry 4.0-driven business model innovation for supply chain sustainability: An exploratory case study. Business Strategy and the Environment, 34(1), 276-295. https://doi.org/10.1002/bse.3970

Krishnan, R., Rohit, G., & Kumar, P. R. (2024). “An integrated sustainable and resilient closed-loop supply chain network design: A case study of the Indian mango pulp industry.” In Sustainable and resilient supply chain (Vol. 12, pp. 13-47). Emerald Publishing Limited.

Krishnan, R. (2024). “Challenges and benefits for small and medium enterprises in the transformation to smart manufacturing: a systematic literature review and framework” Journal of Manufacturing Technology Management

Krishnan, R., Arshinder, K., Agarwal, R., 2022. “Robust optimization of sustainable food supply chain network considering food waste valorization and supply uncertainty” Computers and Industrial Engineering.171.

Mohan, A., Krishnan, R., Arshinder, K., Vandore, J., & Ramanathan, U. 2023. “Management of Postharvest Losses and Wastages in the Indian Tomato Supply Chain—A Temperature-Controlled Storage Perspective”, Sustainability.

Krishnan, R., Agarwal, R., Bajada, C., Arshinder, K., 2020. “Redesigning a food supply chain for environmental sustainability – An analysis of resource use and recovery.” Journal of Cleaner Production. 242.

Krishnan, R., Phan, Y, Agarwal, R., Arshinder, K., Bajada, C., 2020. “Collaborative Innovation and Sustainability in food supply chain- Evidence from Farmer Producer Organisations.” Resource Conservation and Recycling.

Vasanthakumar, C., Vinodh, S., Ramesh, K., 2016. Application of interpretive structural modelling for analysis of factors influencing lean remanufacturing practices. International Journal of Production Research. 54.

Muruganantham, G., Vinodh, S., Arun, C.S., Ramesh, K., 2016. Application of interpretive structural modelling for analysing barriers to total quality management practices implementation in the automotive sector. Total Quality Management and Business Excellence.

Vinodh, S., Ramesh, K., Arun, C.S., 2016. Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system. Clean Technology and Environmental Policy.

Research Areas

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• Supply Chain Optimisation
• Last-Mile Delivery Optimisation
• Sustainability
• Supply Chain Analytics
• Industry 4.0

Consultancy Projects

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Re-Engineering of Existing Supply Chain Management of the Indian Army