Decision support system for occupancy-oriented facility management: methodology and first results

Laura Pellegrini1, Elena Seghezzi1, Lavinia Chiara Tagliabue2, Giuseppe Martino Di Giuda3, Marco Schievano1, Alessandro Tucci1
1 Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milano, Italy
2 Department of Computer Science, University of Turin, Turin, Italy
3 Department of Management, University of Turin, Turin, Italy
DOI: 10.35490/EC3.2022.204
Abstract: Occupancy and space uses affect the organizational effectiveness and functioning during the Operation and Maintenance phase. They are highly variable and can change over time. Consequently, spaces can be inadequate for actual uses, affecting space use, cleanness, and user well-being, satisfaction, and productivity. The research defines a Decision Support System for facility managers based on occupancy patterns analyses and simulations, including Post-Occupancy Evaluations, an IoT sensor network, and a dashboard. First results of system setting and pilot study application are presented. The research aims to support space reorganization and Facility Management activities optimization, increasing workplace adaptability, user satisfaction and well-being.
Keywords: Decision Support System, IoT sensor network, Operation & Maintenance, Passive Digital Twin, Post-Occupancy Evaluation

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