Devesh Kumar
Papers
1
Total Citations
3
H-Index
1
About
Devesh Kumar is a researcher focused on the intersection of data science and operations management, with a primary emphasis on logistics and supply chain dynamics. His most-cited work, a 2023 literature review on data-driven techniques in logistics and supply chain management, has already garnered 3 citations, reflecting the timely relevance of his research. In this paper, Kumar systematically examines how modern supply chains—far more complex and volatile than in previous decades—can leverage advanced analytics, machine learning, and automation to enhance efficiency and resilience. He highlights the critical role of technology in navigating the dynamic, highly competitive global landscape, arguing that data-driven decision-making is no longer optional but essential for business growth and societal progress. Kumar’s contribution lies in synthesizing fragmented knowledge, identifying key trends, and offering a roadmap for practitioners and scholars alike. His work underscores the transformative potential of data in optimizing inventory, forecasting demand, and mitigating risks. As supply chains continue to evolve, Kumar’s research provides a foundational resource for students and professionals seeking to harness data for operational excellence.
Research Focus
Key Achievements
Top Papers
- 1