Shi Nai-Yong

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Total Citations

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About

Shi Nai-Yong is a researcher focused on industrial robotics and maintenance optimization, with a particular emphasis on cost-benefit analysis and operational efficiency. His most-cited work, "Cost-benefit analysis on remote maintenance for industrial robot" (2020, 5 citations), provides a foundational comparison between onsite and remote maintenance modes, dissecting their respective costs and benefits to guide decision-making in manufacturing settings. This contribution is especially relevant as industries increasingly adopt automation and seek to minimize downtime while controlling expenses. By systematically evaluating trade-offs—such as travel costs, response times, and equipment availability—Shi offers practical insights for engineers and managers aiming to enhance robot reliability. Though his citation count is modest, his work addresses a critical gap in maintenance strategy, bridging theoretical analysis with real-world application. Shi’s research underscores the growing importance of remote technologies in industrial contexts, making his findings valuable for those exploring smart manufacturing and predictive maintenance. His analytical approach serves as a stepping stone for future studies on cost-effective robot upkeep.