Mike Coulthard
Papers
1
Total Citations
6
H-Index
1
About
Mike Coulthard’s research centers on manufacturing process optimization, with a particular focus on quality control in high-volume automotive paint shops. His work bridges the gap between automated production systems—including robots, sensors, and programmable logic controllers—and the practical challenges of achieving first-time quality in complex coating lines. His most-cited paper, “A Case Study on First Time Quality Feature Investigation for an Automotive Paint Shop” (2022), has garnered 6 citations and offers a detailed examination of how conveyor systems and automated equipment can be fine-tuned to reduce defects and rework. Coulthard’s contributions are especially valuable for engineers and researchers working in lean manufacturing and Industry 4.0, as he provides data-driven insights into improving throughput without compromising finish quality. By analyzing real-world paint shop operations, he highlights the critical interplay between equipment reliability and process consistency. His work is a practical resource for those seeking to minimize waste and enhance efficiency in automated production environments, making him a notable voice in applied manufacturing research.
Research Focus
Key Achievements
Top Papers
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