Prelimanary Investigation on The Factors That Influencing The Maintenance Cost of Apartment

Salleh, Nor Aini; Yakin, Mohd Khairul Annuar Mohd; Ismail, Kharizam; Talib, Y.

doi:10.1051/matecconf/20166600046

Cited by 8 publications

(10 citation statements)

References 27 publications

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“…This finding is undisputable as most of the buildings owned by both entities date back to the colonial epoch. The finding is similar to previous studies of Ali et al (2010), Nyayiemi (2013), Faremi et al (2014) and Salleh et al (2016). Similarly, building materials used was another factor in this category reported by 63% and 69% tenants and experts, respectively.…”

Section: Discussionsupporting

confidence: 91%

Factors affecting maintenance cost of public buildings: case study of Tanzania Buildings Agency and National Housing Corporation

Zeni

Kikwasi

2021

IJBPA

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PurposeThe state of public buildings in Tanzania exhibits evidence of a lack of maintenance and repair. Despite efforts to raise the performance of public buildings, little emphasis is placed on maintenance works and related factors affecting maintenance costs of public buildings, which are often high. This study aims to examine factors affecting maintenance costs of public buildings.Design/methodology/approachThis was a case study involving two government building agencies – Tanzania Buildings Agency (TBA) and National Housing Corporation (NHC). A total of 387 tenants and 29 experts participated in the study. Data were collected using questionnaires and analyzed using Stata version 16 – descriptive statistics feature reporting absolute numbers and frequencies.FindingsBoth tenants and experts ranked building age, poor quality control, building material used, execution of work when it is urgent and inadequate financial resources as major factors affecting maintenance costs of public buildings. In the distinctive rating, tenants ranked resource management as a major factor, while experts ranked ignorance about the property of materials, misuse of buildings and faulty maintenance as major factors.Research limitations/implicationsThe study has some limitations such as geographical coverage which is limited to Dar es Salaam and Dodoma regions, hence missing information from other regions may have different experiences. Additionally, data were collected in a self-reported manner which could bring about information bias.Practical implicationsFindings of this study provide an insight on recent developments on the factors affecting maintenance cost of buildings using two cases of NHC and TBA which are single entities owning a substantial amount of housing units in Tanzania. Factors affecting the maintenance cost of public buildings identified in this study is a threshold for experts to devise strategies for minimizing maintenance costs.Originality/valueTo the best of the authors’ knowledge, this is the first study that assessed factors affecting maintenance cost in public buildings run by TBA and NHC from the tenant and expert perspectives.

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Section: Discussionsupporting

confidence: 91%

Factors affecting maintenance cost of public buildings: case study of Tanzania Buildings Agency and National Housing Corporation

Zeni

Kikwasi

2021

IJBPA

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“…Similarly, Abdul-Lateef (2010) verified that building age was one of the most influential criteria concerning university building maintenance management. In addition, some studies describe the influence of building age on maintenance costs (Abdul-Lateef, 2010;Ali et al, 2010;Krsti c and Mareniak, 2012;Ofori et al, 2015;Perera et al, 2016;Salleh et al, 2016). The negative influence of "Building Heritage Status Listed" was detected, meaning that listed buildings tend to have fewer RM problems than unlisted buildings.…”

Section: Discussionmentioning

confidence: 99%

Statistical critical reactive maintenance characterisation for digital twin implementation in universities

Campos Fialho,

Codinhoto,

Minto Fabricio

2023

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Purpose Facilities management (FM) plays a key role in the performance of businesses to ensure the comfort of users and the sustainable use of natural resources over operation and maintenance. Nevertheless, reactive maintenance (RM) services are characterised by delays, waste and difficulties in prioritising services and identifying the root causes of failures; this is mostly caused by inefficient asset information and communication management. While linking building information modelling and the Internet of Things through a digital twin has demonstrated potential for improving FM practices, there is a lack of evidence regarding the process requirements involved in their implementation. This paper aims to address this challenge, as it is the first to statistically characterise RM services and processes to identify the most critical RM problems and scenarios for digital twin implementation. The statistical data analytics approach also constitutes a novel practical approach for a holistic analysis of RM occurrences. Design/methodology/approach The research strategy was based on multiple case studies, which adopted university campuses as objects for investigation. A detailed literature review of work to date and documental analysis assisted in generating data on the FM sector and RM services, where qualitative and statistical analyses were applied to approximately 300,000 individual work requests. Findings The work provides substantial evidence of a series of patterns across both cases that were not evidenced prior to this study: a concentration of requests within main campuses; a balanced distribution of requests per building, mechanical and electrical service categories; a predominance of low priority level services; a low rate of compliance in attending priority services; a cumulative impact on the overall picture of five problem subcategories (i.e. Building-Door, Mechanical-Plumbing, Electrical-Lighting, Mechanical-Heat/Cool/Ventilation and Electrical-Power); a predominance of problems in student accommodation facilities, circulations and offices; and a concentration of requests related to unlisted buildings. These new patterns form the basis for business cases where maintenance services and FM sectors can benefit from digital twins. It also provides a new methodological approach for assessing the impact of RM on businesses. Practical implications The findings provide new insights for owners and FM staff in determining the criticality of RM services, justifying investments and planning the digital transformation of services for a smarter provision. Originality/value This study represents a unique approach to FM and provides detailed evidence to identify novel RM patterns of critical service provision and activities within organisations for efficient digitalised data management over a building’s lifecycle.

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“…Fault report is performed through notification messages via e-mail and SmartLab, thus increasing the accuracy of the information and the efficiency of the activity. As a result, it eliminates the diversity of communication channels for specific users and human-related obstacles such as loss of paper forms, imprecise or late description of faulty equipment and location, and duplication of requests [40,[90][91][92][93]. In Stage 3, the service location is automatically provided in notification messages and BIM and IoT interfaces.…”

Section: Impacts Of the Smart Lighting Maintenance System Prototype On Service Performancementioning

confidence: 99%

Development of a BIM and IoT-Based Smart Lighting Maintenance System Prototype for Universities’ FM Sector

et al. 2022

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Reactive maintenance (RM) is a core service of the operation and maintenance (O&M) phase, the most prolonged and costly within the building lifecycle. RM is characterised by inefficient asset information and communication management, impacting critical FM problems and users’ experience. Building information modelling (BIM) and Internet of things (IoT) has enabled the development of digital twins, moving facilities management (FM) from a reactive approach towards a predictive one. Although previous studies have investigated the application of such technologies to FM, there is a lack of understanding on procedural issues related to its implementation in FM and RM. This research aimed to characterise strategies and decisions involved in prototyping a BIM and IoT-based smart-lighting maintenance system and identify its potential impacts on universities’ maintenance processes. The adopted research strategy and data collection methods involved prototyping, questionnaires, and interviews. The results show a high level of complexity in converging maintenance needs and technological abilities for FM and the importance of procedures and standards at organisational and industry levels. Moreover, it evidenced that the automation of functions and the centralisation of information enabled by BIM and IoT can optimise service provision, generate environmental and efficiency gains, and improve users’ safety and satisfaction.

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Prelimanary Investigation on The Factors That Influencing The Maintenance Cost of Apartment

Cited by 8 publications

References 27 publications

Factors affecting maintenance cost of public buildings: case study of Tanzania Buildings Agency and National Housing Corporation

Factors affecting maintenance cost of public buildings: case study of Tanzania Buildings Agency and National Housing Corporation

Statistical critical reactive maintenance characterisation for digital twin implementation in universities

Development of a BIM and IoT-Based Smart Lighting Maintenance System Prototype for Universities’ FM Sector

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