AI Solutions for Predictive Maintenance in Hotel Facilities

Dharani Jaganathan, Sangwoo Jeon, Dhanasekaran Pachiyannan, C. S. Madhumathi

Abstract


AI solutions for predictive maintenance are transforming facility management in the hospitality industry, enhancing operational efficiency and reducing downtime. This paper explores the technologies and methodologies involved in implementing AI-driven predictive maintenance systems, focusing on their applications in monitoring equipment and predicting failures. Through case studies, the paper highlights the benefits of adopting predictive maintenance strategies, including improved asset lifespan, reduced maintenance costs, and enhanced guest satisfaction. Additionally, challenges related to data integration and system implementation are discussed.

Keywords


AI, predictive maintenance, hotel facilities, operational efficiency.

References


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