0000-0002-0868-5716 About
Arpan Paul is a Research Scholar in the Department of Mechanical Engineering at the National Institute of Technology, Rourkela, India. His research focuses on sustainable supply chain management, multi-criteria decision-making, and machine learning applications in sustainability. He has published peer-reviewed articles on fuzzy-based decision models, sustainable vehicle routing, and optimization in manufacturing processes, contributing to data-driven frameworks for sustainable operations.
Employment
Employment history is unavailable.
Education
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National Institute of Technology Rourkela Doctor of Philosophy2021 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- Sustainable Supply Chain Implementation in Steel Industry: A Multi-Fuzzy Framework for Identifying Critical Success Factors Save
- A comprehensive study on time-dependent multi-objective sustainable vehicle routing problem considering real-time traffic congestion Save
- Integrated dynamic analysis and predictive modeling of sustainable vehicular transport using a hybrid system dynamics-machine learning method Save
- A robust multi-objective sustainable vehicle routing model with time windows and mixed fleet: an IACO-TOPSIS-PRCC-regression framework Save
- An integrated fuzzy-AHP and fuzzy-DEMATEL approach for analyzing sustainable supply chain factors in the mining industry Save
- A State-of-the-art Review and Meta-analysis of Quantitative Sustainable Supply Chain Models: Research Implications and Future Perspectives Save
- Parametric Optimization of the FDM Process Parameters: A MOORA-Driven Multi-Objective Decision-Support Approach Save
- Study on the Effect of Process Parameters on Mechanical Properties of Nylon 12 Carbon Fiber Composite Using Fused Deposition Modeling Save
- A decision support system for the selection of FDM process parameters using MOORA Save