Development of a significant index model for assessing heritage building maintenance management challenges

Abstract

PurposeThe paper aims to identify the critical constraints that impede heritage building (HB) facility managers from discharging their duties effectively and develop an index model to guide HB maintenance management (HBMM) practitioners to the critical constraints.Design/methodology/approachA literature review was conducted to identify HBMM constraints. Facilty management practitioners assessed the constraints' significance through an online survey. The factor analysis was used to shortlist and group the constraints, and the constraint clusters were analyzed by the fuzzy synthetic evaluation technique. A significant index cluster to determine HBMM constraints criticality was generated using the linear additive model.FindingsEmbracing a total of 16 HBMM constraints, the three clusters identified are: (1) managerial and inadequacy constraints, (2) pressure and bureaucracy constraints and (3) HB peculiarities constraints. Based on the generated significant index, the HB peculiarities cluster was identified as the most significant.Research limitations/implicationsThe study was conducted in a particular jurisdiction, limiting the generalizability of the result. Future research should address this limitation by covering more jurisdictions.Practical implicationsThe significant index model (SIM) developed enables HBMM practitioners to objectively assess the criticality of HB constraints and facilitates them to effectively strategize and allocate resources for HBMM.Originality/valueThe SIM, which transforms subjective judgment into the objective assessment of the HBMM constraints' criticality, can assist practitioners, policymakers and other HBMM stakeholders in implementing strategies for the sustainability of HBs.

Research on Maintenance and Management Strategies of Buildings based on Machine Learning

“…In addition, building maintenance involves optimizing energy use and maintaining the quality of the indoor environment, which is equally important for the health and comfort of occupants. In addition, building maintenance strategies are becoming more and more intelligent and efficient with the development of technology [4] . Specifically, Internet of Things technology can monitor building metrics in real time, while machine learning and data analysis can help predict maintenance needs more accurately.…”