Lalbihari Barik

King Abdulaziz University

Papers

1

Total Citations

3

H-Index

1

About

Lalbihari Barik is a researcher whose work focuses on the intersection of supply chain management, risk analysis, and advanced computational modeling. His key research areas include sustainability frameworks, Bayesian theory, and Markov models for decision-making under uncertainty. Barik’s most notable contribution is the development of the Supply Chain Sustainability Framework (SCSF), which integrates Bayesian theory and Markov models to systematically assess and mitigate risks in complex supply networks. This innovative approach provides a robust, probabilistic tool for managers to evaluate environmental, social, and economic sustainability factors, moving beyond traditional deterministic methods. His work has garnered attention, with his seminal 2022 paper on the SCSF accumulating 3 citations, reflecting its early but growing impact in the field. Barik’s research is particularly relevant for industries seeking to enhance resilience and sustainability in global supply chains, offering a quantitative foundation for strategic decision-making. His contributions position him as an emerging voice in sustainable operations research, with potential for significant influence as the demand for data-driven risk management continues to rise.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
SCSF: Supply Chain Sustainability Framework by Bayesian Theory and Markov Model for Risk Analysis
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: King Abdulaziz University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago