This review paper presents a comprehensive conceptual model for incident prevention in industrial maintenance engineering environments. Industrial maintenance is integral to the smooth operation of manufacturing systems, yet the occurrence of maintenance-related incidents, such as equipment failures, safety hazards, and downtime, remains a significant challenge. A proactive approach to incident prevention is crucial to minimizing operational disruptions, reducing costs, and ensuring worker safety. This paper explores key factors influencing maintenance operations, including equipment reliability, personnel training, risk assessment, and predictive maintenance technologies. It identifies common incident causes and examines how modern engineering practices, such as condition monitoring, real-time data analytics, and automated systems, contribute to improving safety and operational efficiency. Furthermore, the paper provides an overview of best practices in incident prevention strategies, including risk management frameworks, safety protocols, and the role of leadership in fostering a safety culture. The proposed conceptual model integrates these practices into a cohesive framework that can be applied across diverse industrial sectors. Finally, the paper discusses the challenges faced in implementing such models, including resource limitations, resistance to change, and the need for continuous improvement. By providing a theoretical foundation for incident prevention in industrial maintenance engineering, this review aims to contribute to the development of safer and more efficient industrial environments.