With the acceleration of digital transformation, enterprises face increasingly complex IT architectures. The efficient management of operational resources-including hardware, software systems, human resources, and data assets-has become crucial for maintaining business continuity and reducing operational costs. This study investigates the framework and practical implementation of IT operation resource management. It first analyzes pain points in current practices such as resource fragmentation, delayed monitoring, chaotic configurations, and cost overruns. A comprehensive lifecycle management system is established encompassing “resource identification, classification modeling, monitoring alerts, optimized scheduling, and cost accounting,” with detailed explanations of how automation tools, visualization platforms, and data analytics technologies integrate into this framework. Through a case study of a major manufacturing enterprise, the research demonstrates the system’s effectiveness in improving resource utilization, shortening fault response times, and lowering maintenance costs. The findings indicate that a scientific IT operation resource management system can effectively address inefficiencies in traditional operations, providing stable support for digital transformation initiatives.
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Share and Cite
Tang, M. (2025) Research on Construction and Application of IT Operation and Maintenance Resource Management. Scientific Research Bulletin, 2(1), 1-7.