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Brown, Z and Cole, R J (2009) Influence of occupants' knowledge on comfort expectations and behaviour. Building Research & Information, 37(03), 227–45.

Bügl, R, Leimgruber, C, Hüni, G R and Scholz, R W (2009) Sustainable property funds: financial stakeholders' views on sustainability criteria and market acceptance. Building Research & Information, 37(03), 246–63.

Farahani, A, Wallbaum, H and Dalenbäck, J (2019) Optimized maintenance and renovation scheduling in multifamily buildings – a systematic approach based on condition state and life cycle cost of building components. Construction Management and Economics, 37(03), 139–55.

  • Type: Journal Article
  • Keywords: Proactive maintenance; renovation; residential buildings; service life; life cycle cost;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2018.1512750
  • Abstract:
    Proactive maintenance strategies in principle are devised to control degradation and sustain optimal performance of building components. While realizing the technical necessities, they also serve as an instrument towards multiple and often conflicting objectives during financial constraints. An optimal proactive maintenance strategy therefore should comprise a multiannual maintenance action plan optimized on different criteria corresponding to owners’ objectives under existing constraints. This study offers a systematic approach based on a condition-deterioration model to address the complexity involved in decision making regarding optimized maintenance and renovation planning. Life-cycle cost analysis in form of Equivalent Annual Cost (EAC) is used for the economic assessment of maintenance/renovation scenarios. In this paper, the model is used to compare the economy of different maintenance/renovation plans in a chosen scenario in order to determine the optimal maintenance interval for a single and a combination of building components. Two façade elements, windows and façade rendering, are used to illustrate the application of the proposed method. This method is intended to help decision makers at both design and post-construction phases in the choice of both building components and maintenance/renovation strategies.

Ismail, Z (2019) An Integrated Computerised Maintenance Management System (I-CMMS) for IBS building maintenance. International Journal of Building Pathology and Adaptation, 37(03), 326–43.

Ji, Y, Lee, A and Swan, W (2019) Retrofit modelling of existing dwellings in the UK: the Salford Energy House case study. International Journal of Building Pathology and Adaptation, 37(03), 344–60.

Onyenokporo, N C and Ochedi, E T (2019) Low-cost retrofit packages for residential buildings in hot-humid Lagos, Nigeria. International Journal of Building Pathology and Adaptation, 37(03), 250–72.

Rafferty, M and Toner, P (2019) Thinking like Capital markets – Financialisation of the Australian Construction Industry. Construction Management and Economics, 37(03), 156–68.

Ramos, N M M and de Freitas, V P (2009) Experimental determination of the hygroscopic inertia of building materials. Building Research & Information, 37(03), 9.

Rispoli, M and Organ, S (2019) The drivers and challenges of improving the energy efficiency performance of listed pre-1919 housing. International Journal of Building Pathology and Adaptation, 37(03), 288–305.

Rockow, Z R, Ross, B and Black, A K (2019) Review of methods for evaluating adaptability of buildings. International Journal of Building Pathology and Adaptation, 37(03), 273–87.

Short, C A and Al-Maiyah, S (2009) Design strategy for low-energy ventilation and cooling of hospitals. Building Research & Information, 37(03), 264–92.

Spigliantini, G, Fabi, V, Schweiker, M and Corgnati, S (2019) Historical buildings’ energy conservation potentialities. International Journal of Building Pathology and Adaptation, 37(03), 306–25.

Styhre, A (2019) Close entanglements: aligning the construction and finance industries. Construction Management and Economics, 37(03), 169–78.

Zapata Quimbayo, C A, Mejía Vega, C A and Marques, N L (2019) Minimum revenue guarantees valuation in PPP projects under a mean reverting process. Construction Management and Economics, 37(03), 121–38.