Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 7 results ...

Al-Nammari, F and Alhanbali, F (2025) Housing adaptations for COVID-19 lockdowns in Amman and policy implications. Building Research & Information, 53(05), 600–19.

Bajc, T and Kerčov, A (2025) Assessment of students’ productivity in context of indoor environmental quality and personal factors. Building Research & Information, 53(05), 620–35.

Boissonneault, A and Peters, T (2025) The POE paradigm in architecture: practices and perspectives of Canadian practitioners. Building Research & Information, 53(05), 565–81.

Han, J and Ye, N (2025) Changing identities of architects in China and the UK from the 1950s to the 1990s. Building Research & Information, 53(05), 553–64.

Han, J M, Estrella Guillén, E, Liu, S, Chen, Y and Samuelson, H W (2025) Using explainable artificial intelligence to predict sleep interruptions from indoor environmental conditions: an empirical study. Building Research & Information, 53(05), 636–55.

Harrington, S and Mulville, M (2025) Defining demand - The suitability of sensor-based demand-controlled ventilation within deep energy retrofit dwellings. Building Research & Information, 53(05), 656–74.

Weber, I and Isatto, E L (2025) Performance metrics for the corrective building maintenance of hospital facilities. Building Research & Information, 53(05), 582–99.

  • Type: Journal Article
  • Keywords: CMMS; corrective building maintenance; hospital maintenance; performance metrics; work order;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2024.2447936
  • Abstract:
    Performance metrics (PMs) are essential in aiding hospital building maintenance managers in their decision-making processes. Although computerized maintenance management systems (CMMSs) are widely used in hospital maintenance and can store extensive data, there is limited literature documenting PMs derived from these sources. This study aimed to identify PMs in corrective building maintenance using a CMMS dataset from a Brazilian public hospital covering the years 2017–2022. A case study was conducted by analysing the evolution of work orders (WOs) over time and investigating lead times across hospital sectors and maintenance services. Textual analysis was used to explore the relationship between specific terms within WOs and lead times. The findings revealed (i) the impact of COVID-19 on WOs, (ii) a lack of evidence that requests were prioritized based on their origin and (iii) the relationship between specific keywords in user requests and faster responses. This study demonstrates that analysing past WOs can potentially enhance hospital corrective maintenance processes.