Table 1.

Related research on HVAC maintainability

ResearchPrimary investigationNo. of issues investigatedOutputDefects ranking analysis
Hassanain et al. (2014) – HVAC maintenance in 13 public Saudi Arabian universities.
– Design decisions and maintenance issues.
– Lack of communication and feedback from maintenance to design teams
12 HVAC maintenance defects– A list of maintenance issues
– Developed three sets of validated design stage maintainability guidelines, at 30%, 60% and 90% design completion stages
Relative importance index (RII)
Chew Yit Lin (2010) – Design, construction and maintenance-related issues affecting commercial buildings’ maintenance costs39 HVAC defectsA list of HVAC defects and FMECA-based criticality weightsWeights for each defect were calculated using a modified failure mode effects and criticality analysis (FMECA)
Chew (2016) – Integration of buildings’ maintainability with green facility management approaches39 HVAC maintenance issueA list of HVAC defects and FMECA-based criticality weightsWeights for each defect were calculated using FMECA
Chew et al. (2018) – Visual inspection of HVAC defects in buildings19 HVAC maintenance issueA list of HVAC maintenance issues supported by design-stage guidelines for design, construction and maintenance 
Arroyo et al. (2016) – Choosing by advantage (CBA) as a method to improve HVAC design decisions
– Optimization of HVAC’s LCC by building a communication and decision framework between all stakeholders, including the maintenance team
7 HVAC design factors to apply through CBAA framework of CBA methodology for selection of HVAC for a museumCBA
Hassanain and Harkness (2000) – Design guidelines for fresh air system replacement based on a case study27 Design factors27 design factors with explanations for the design team 
Balaras et al. (2007) – HVAC indoor environmental conditions for operating rooms6 Design components representing indoor conditionsDesign guidelines 
Thiel and Mroz (2001) – HVAC selection method for museums based on the decision-maker’s performance preferences A selected systemMultiple criteria decision-making (MCDM)
Wang et al. (2009a)– Selecting an optimal HVAC system using a fuzzy multicriteria evaluation model to16 CriteriaA selected systemFuzzy analytic hierarchy process (AHP) and TOPSIS
Chinese et al. (2011) – Selecting a heating system for an industrial facility using an AHP approach9 Criteria AHP
Source: Created by the authors

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