Benchmarking facilities operation and maintenance management using CAFM database: Data analysis and new results

Róka-Madarász, Lívia; Mályusz, Levente; Tuczai, Péter

doi:10.1016/j.jobe.2016.03.007

Cited by 25 publications

(9 citation statements)

References 16 publications

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“…However, the study includes only literature review and research methodology. Róka-Madarász et al [36] used the CAFM database to enable FM performance benchmarking. Authors focused on operation and maintenance costs and identification of variables that affect operational and maintenance costs such as age and number of users to determine long-term strategic decisions.…”

Section: Background For Healthcare Facility Management Kpismentioning

confidence: 99%

Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

2022

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The use of digital technologies such as Internet of Things (IoT) and smart meters induces a huge data stack in facility management (FM). However, the use of data analysis techniques has remained limited to converting available data into information within activities performed in FM. In this context, business intelligence and analytics (BI&A) techniques can provide a promising opportunity to elaborate facility performance and discover measurable new FM key performance indicators (KPIs) since existing KPIs are too crude to discover actual performance of facilities. Beside this, there is no comprehensive study that covers BI&A activities and their importance level for healthcare FM. Therefore, this study aims to identify healthcare FM KPIs and their importance levels for the Turkish healthcare FM industry with the use of the AHP integrated PROMETHEE method. As a result of the study, ninety-eight healthcare FM KPIs, which are categorized under six categories, were found. The comparison of the findings with the literature review showed that there are some similarities and differences between countries’ FM healthcare ranks. Within this context, differences between countries can be related to the consideration of limited FM KPIs in the existing studies. Therefore, the proposed FM KPIs under this study are very comprehensive and detailed to measure and discover healthcare FM performance. This study can help professionals perform more detailed building performance analyses in FM. Additionally, findings from this study will pave the way for new developments in FM software and effective use of available data to enable lean FM processes in healthcare facilities.

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Section: Background For Healthcare Facility Management Kpismentioning

confidence: 99%

Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

2022

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“…Widespread systems used to support facility management activities are computer aided facility management (CAFM) [27] or other similar systems as computer maintenance management systems (CMMS), electronic document management systems (EDMS) and building automation systems (BAS) [28]. These management systems are based on alphanumeric data management, capable of uploading data and technical documentation, creating job lists and schedule activities, identifying resources, tools and materials needed to manage the real estate [29].…”

Section: Cafm Systems and Bimmentioning

confidence: 99%

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Mirarchi

Pavan

Marco

et al. 2018

IJGI

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The integration of facility management and building information modelling (BIM) is an innovative and critical undertaking process to support facility maintenance and management. Even though recent research has proposed various methods and performed an increasing number of case studies, there are still issues of communication processes to be addressed. This paper presents a theoretical framework for digital systems integration of virtual models and smart technologies. Based on the comprehensive analysis of existing technologies for indoor localization, a new workflow is defined and designed, and it is utilized in a practical case study to test the model performance. In the new workflow, a facility management supporting platform is proposed and characterized, featuring indoor positioning systems to allow end users to send geo-referenced reports to central virtual models. In addition, system requirements, information technology (IT) architecture and application procedures are presented. Results show that the integration of end users in the maintenance processes through smart and easy tools can overcome the existing limits of barcode systems and building management systems for failure localization. The proposed framework offers several advantages. First, it allows the identification of every element of an asset including wide physical building elements (walls, floors, etc.) without requiring a prior mapping. Second, the entire cycle of maintenance activities is managed through a unique integrated system including the territorial dimension. Third, data are collected in a standard structure for future uses. Furthermore, the integration of the process in a centralized BIM-GIS (geographical information system) information management system admit a scalable representation of the information supporting facility management processes in terms of assets and supply chain management and monitoring from a spatial perspective.

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“…Moreover, facility managers have issues in the management of the existing information due to conventional or unorgnized approaches in FM such as information checking and verification of information repetitively with real site visits that are inefficient and time-consuming. Nowadays, new technologies such as Computer Aided Facility Management -CAFM, Computer Maintenance Management Systems -CMMS, Building Automation Systems-BAS are used to manage operation and maintenance activities in facilities since facility managers need systems to retrieve the required information and use them in decision-making processes [5,6]. However, all the FM systems have some pros and cons.…”

Section: Introductionmentioning

confidence: 99%

Facility management information taxonomy framework for queries in healthcare buildings

Demirdöğen

Işık

Arayıcı

2021

Journal of Building Engineering

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Benchmarking facilities operation and maintenance management using CAFM database: Data analysis and new results

Cited by 25 publications

References 16 publications

Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

Determination of Business Intelligence and Analytics-Based Healthcare Facility Management Key Performance Indicators

Supporting Facility Management Processes through End-Users’ Integration and Coordinated BIM-GIS Technologies

Facility management information taxonomy framework for queries in healthcare buildings

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