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Gómez-Chaparro, M, García-Sanz-Calcedo, J and Aunión-Villa, J (2020) Maintenance in hospitals with less than 200 beds: efficiency indicators. Building Research & Information, 48(05), 526–37.

Gao, S, Jin, R and Lu, W (2020) Design for manufacture and assembly in construction: a review. Building Research & Information, 48(05), 538–50.

Gao, X and Pishdad-Bozorgi, P (2020) A framework of developing machine learning models for facility life-cycle cost analysis. Building Research & Information, 48(05), 501–25.

  • Type: Journal Article
  • Keywords: Data availability; machine learning; life-cycle cost (LCC); facility management;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2019.1691488
  • Abstract:
    Machine learning techniques have been used for predicting facility-related costs but there is a lack of research on developing machine learning models for the complete life-cycle cost (LCC) analysis of facilities. This research aims to systematically investigate the feasibility of forecasting facilities' LCC by implementing machine learning on historical data. The authors propose a comprehensive and generalizable framework for developing facility LCC analysis machine learning models. This framework specifies the data requirements, methods, and expected results in each step of the model development process. First, a literature review and a questionnaire survey were conducted to determine the independent variables affecting facility LCC and to identify the potential data sources. The process of using raw data to derive LCC components is then discussed. Finally, a proof-of-concept case study was conducted on a university campus to demonstrate the application of the proposed framework. This research concludes that current building systems already contain the data for LCC analysis and that the proposed framework is effective in facility LCC prediction.

Glew, D, Johnston, D, Miles-Shenton, D and Thomas, F (2020) Retrofitting suspended timber ground-floors; comparing aggregated and disaggregated evaluation methods. Building Research & Information, 48(05), 572–86.

Nardecchia, F, Mattoni, B, Burattini, C and Bisegna, F (2020) The impact of humidity on vortex creation around isolated buildings. Building Research & Information, 48(05), 551–71.

Patel, H and Green, S D (2020) Beyond the performance gap: reclaiming building appraisal through archival research. Building Research & Information, 48(05), 469–84.

Pereira, P F, Ramos, N M M and Simões, M L (2020) Data-driven occupant actions prediction to achieve an intelligent building. Building Research & Information, 48(05), 485–500.