Mohit Pandey

Papers

Total Citations

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About

Mohit Pandey is a researcher specializing in industrial automation and sensor technologies within automotive manufacturing. His work focuses on the critical role of sensors in optimizing production processes, particularly in paint and assembly shops. In his 2018 paper "Sensors Used in Automotive Paint Shops," Pandey systematically cataloged and analyzed sensor applications that ensure quality control, environmental monitoring, and defect detection in one of the most complex stages of vehicle production. His complementary study, "Sensors in Assembly Shop in Automobile Manufacturing," extended this analysis to the final assembly line, highlighting how sensor integration improves precision, safety, and efficiency. Though early in his citation impact—with 3 and 2 citations respectively—these papers serve as foundational references for engineers and researchers seeking to understand sensor deployment in high-stakes manufacturing environments. Pandey’s work bridges the gap between theoretical sensor science and practical automotive production challenges, offering a structured taxonomy that aids both troubleshooting and innovation. His contributions are particularly valuable for students and professionals entering the field of smart manufacturing, where sensor-driven data is key to Industry 4.0 advancements.