Pratyusa Mukherjee
Papers
1
Total Citations
3
H-Index
1
About
Pratyusa Mukherjee is a researcher focused on the intersection of supply chain management, risk analysis, and sustainability. Their work introduces novel quantitative frameworks to address complex, real-world logistical challenges. Mukherjee’s most cited paper, "SCSF: Supply Chain Sustainability Framework by Bayesian Theory and Markov Model for Risk Analysis" (2022), proposes a pioneering methodology that integrates Bayesian inference with Markov modeling to assess and mitigate risks within sustainable supply chains. This contribution provides a robust, probabilistic tool for decision-makers, enhancing the resilience and environmental accountability of global networks. With 3 citations to date, this work has laid a foundational stone for further empirical and theoretical exploration in sustainable operations. Mukherjee’s research is particularly valuable for students and practitioners seeking data-driven approaches to balance economic efficiency with ecological and social responsibility, marking them as an emerging voice in the field of sustainable logistics and risk management.
Research Focus
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Top Papers
- 1