Sanjiv Kaushik

Papers

Total Citations

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About

Sanjiv Kaushik’s research focuses on the intersection of advanced manufacturing, polymer coatings, and process optimization, with a particular emphasis on improving industrial efficiency and product quality. His most cited work, “Response surface modeling and optimization of single axis automatic application of automotive polyurethane coatings on plastic components” (2012, 12 citations), exemplifies his commitment to applying statistical modeling techniques—such as response surface methodology—to real-world manufacturing challenges. In this study, Kaushik systematically optimized coating parameters for automotive plastic parts, demonstrating how precise control of application variables can enhance uniformity and reduce material waste. This contribution is particularly valuable for industries seeking to automate coating processes while maintaining high standards of durability and aesthetics. Though his citation count is modest, the practical impact of his work is evident in its direct relevance to automotive manufacturing and surface engineering. Kaushik’s research bridges the gap between theoretical optimization and industrial application, offering actionable insights for engineers and researchers working on polymer coatings and process automation. His work underscores the importance of data-driven decision-making in manufacturing, making him a notable figure in applied materials science and industrial engineering.