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<p>Maintenance is crucial in the commercial sector to ensure the reliability and efficiency of all technologies. The current study assesses the performance and maintenance choices of the data center system using a simulation modeling approach called stochastic Petri nets. The investigation utilizes license-based GRIF 2023.7 Petri nets software for simulation, allowing for a comprehensive analysis of the system’s performance matrices and availability. Using performance matrices, we determine maintenance decisions crucial for the efficient operation of the data center system. Analysis identified the raised flooring subsystem as the most critical for higher-level maintenance. The Petri Nets modeling approach virtually simulates the operation of the plant. By substituting the input parameters into the timed transitions of each subsystem, the system availability is determined to be 95.90%. The research was conducted using hypothetical datasets due to the unavailability of real-time industry data. Moreover, the study identifies the optimal number of maintenance personnel. The two repair specialists are determined to be adequate to fix the system, and this information is subsequently provided to the engineering team.</p>

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Performance Analysis and Maintenance Decision-Making for Data Center System Utilization of Stochastic Petri Nets Simulation Modeling

  • 期刊论文

  • 发表日期：

    2026年4月23日

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  • Sohan Lal Tyagi,
  • Shikha Bansal,
  • Urvashi

摘要

Maintenance is crucial in the commercial sector to ensure the reliability and efficiency of all technologies. The current study assesses the performance and maintenance choices of the data center system using a simulation modeling approach called stochastic Petri nets. The investigation utilizes license-based GRIF 2023.7 Petri nets software for simulation, allowing for a comprehensive analysis of the system’s performance matrices and availability. Using performance matrices, we determine maintenance decisions crucial for the efficient operation of the data center system. Analysis identified the raised flooring subsystem as the most critical for higher-level maintenance. The Petri Nets modeling approach virtually simulates the operation of the plant. By substituting the input parameters into the timed transitions of each subsystem, the system availability is determined to be 95.90%. The research was conducted using hypothetical datasets due to the unavailability of real-time industry data. Moreover, the study identifies the optimal number of maintenance personnel. The two repair specialists are determined to be adequate to fix the system, and this information is subsequently provided to the engineering team.