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Case Study | Sports and Fitness | Volume 15 Issue 6, June 2026 | Pages: 458 - 460 | Saudi Arabia
An Operational Live Simulation Platform for Small Gyms to Improve Operational Planning, Energy Efficiency, and Trainee Experience
Abstract: This paper proposes an Operational Live Simulation Platform (OLSP) for small fitness centers that integrates occupancy sensing, energy monitoring, and booking data into a real-time operational digital twin. The platform combines gradient boosting demand forecasting, multi-objective optimization, and model predictive control to improve scheduling, facility utilization, and energy efficiency while preserving user privacy through edge processing and aggregated analytics. The proposed framework aims to reduce congestion, lower HVAC energy consumption, and enhance trainee satisfaction. A pilot evaluation strategy based on operational, energy, technical, and user experience indicators is presented for validation in a small family gym environment. Results are expected to demonstrate meaningful improvements in operational performance, energy management, and overall trainee experience. Specifically, the platform is projected to reduce peak congestion by 15-20%, lower HVAC energy by 10-15%, and improve trainee Net Promoter Score (NPS) by 0.3 to 0.5 points. Privacy is preserved through edge processing and aggregated metrics only.
Keywords: Operational Live Simulation Platform, Digital Twin, Gym Management, Artificial Intelligence, Energy Efficiency, Occupancy Forecasting, Model Predictive Control, Smart Buildings, User Experience Optimization, Edge Computing
How to Cite?: Eyad Al Haddad, "An Operational Live Simulation Platform for Small Gyms to Improve Operational Planning, Energy Efficiency, and Trainee Experience", Volume 15 Issue 6, June 2026, International Journal of Science and Research (IJSR), Pages: 458-460, https://www.ijsr.net/getabstract.php?paperid=SR26524132043, DOI: https://dx.dx.doi.org/10.21275/SR26524132043