Leveraging Whole Life Cycle Costs When Utilising Building Information Modelling Technologies

Kehily, Dermot; McAuley, Barry; Hore, Alan

doi:10.4018/ij3dim.2012100105

Cited by 8 publications

(5 citation statements)

References 11 publications

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“…Several research studies have categorized the factors that impact BIM implementation in the construction industry into multiple categories and classes. For instance, Smith (2014), Kehily (2016) and Abubakar et al (2014) have studied factors affecting BIM from various perspectives including drivers , barriers , challenges and other factors associated with people , processes , information and technology . Additionally, Ramilo and Embi (2014) categorized the barriers to digital innovation adoption into organizational , process , financial , psychology and governmental barriers .…”

Section: Literature Reviewmentioning

confidence: 99%

“…Popov et al (2010) suggested that BIM has become a solution to many construction inefficiencies by providing a framework to share information among various project phases over the entire life cycle of projects. Smith (2014) and Kehily (2016) recognized BIM's benefits in enabling fully integrated project delivery and simulating construction activities in a virtual environment. Moreover, studies have shown that BIM supports individuals in working together by facilitating data sharing (Fung et al , 2014; Isikdag and Underwood, 2010; Aibinu and Venkatesh, 2014).…”

Section: Introductionmentioning

confidence: 99%

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A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry

Alemayehu

Nejat

Ghebrab

et al. 2021

ECAM

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PurposeBuilding information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier.Design/methodology/approachTo address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were employed to identify the significance of barriers. This was then succeeded by performing exploratory factor analysis to determine the major constructs of BIM barriers which was then used to develop a multivariate regression model linking respondents' personal attributes to their perception of BIM barrier.FindingsResults revealed the importance of project complexity and BIM maturity level in prioritizing barriers that are more relevant under various contexts. More specifically, results indicated the following study highlights: Project complexity led to higher perceived weights for lack of appropriate physical/cloud infrastructures, and a BIM standard. Higher levels of BIM maturity signified the importance of BIM internal issues such as liability, licensing and maintenance issues among other adoption barriers. Female participants tended not to consider intangibility of BIM benefits as a major barrier towards BIM adoption compared to male participants. Age of the participants turned out to be the least important factor in their prioritization of BIM perceived adoption barriers.Originality/valueWhile many research studies have explored BIM adoption barriers in various countries around the world, none to the best of the authors' knowledge have attempted to develop a model to highlight the impact of individuals' personal/professional attributes on their perception of adoption barriers within their community which can help with prioritizing the barriers that are deemed to be more important given the characteristics of the community under study. Our result indicated the importance of BIM maturity level and project complexity in prioritizing barriers associated with BIM adoption within Ethiopia's construction industry.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry

Alemayehu

Nejat

Ghebrab

et al. 2021

ECAM

View full text Add to dashboard Cite

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“…Recent advances in information technology have led to a new breed of computer-based tools. Artificial neural networks (ANNs) are one of the best and most widely utilised tools in the development of prediction models in different fields [8,9]. These networks have been used in the development of many applications for predicting energy consumption [3,[10][11][12][13][14][15][16].…”

Section: Literature Reviewmentioning

confidence: 99%

“…BIM is used comprehensively in the building industry, especially for the life-cycle costing (LCC) of construction buildings. Kehily et al [8] revealed a generic template that could be integrated with a 4D BIM process to consider certain documented barriers for the successful application of LCC in practice. William et al [9] studied the challenges in estimating costs using BIM, while Shin and Cho [17] evaluated the usability of BIM to carry out life-cycle analysis (LCA) and LCC in the early stages of a construction project.…”

Section: Literature Reviewmentioning

confidence: 99%

ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia

Alshibani

Alshamrani

2017

Journal of Taibah University for Science

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This paper introduces a novel conceptual system to predict the energy cost of residential buildings in the Kingdom of Saudi Arabia (KSA). The paper briefly describes the main models of the developed system to maintain continuity and focuses on the energy cost prediction model. The developed system aims to assist architects in designing residential buildings to minimise energy costs under Saudi Arabian environmental conditions. The system was built based on data collected from house owners in six cities in the eastern province of KSA. The initial results of validating the model demonstrate the system's capabilities in assisting architects in the selection of the optimum architectural design.

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“…BIM enables stakeholders to make educated decisions regarding a building's design, construction, and operation through the integration of diverse data sources with modelling, hence providing ability to foresee critical scenarios [9][10][11]. The use of BIM to optimise LCC entails creating a centralised digital model that captures all critical information about a structure, from conception to demolition [12][13][14]. This model functions as a dynamic database that stakeholders can access at various stages of the building's life.…”

mentioning

confidence: 99%

Utilising BIM on LCC to Enhance the Sustainability of Saudi Residential Projects Through Simulation. A Case Study at the Kingdom of Saudi Arabia

Alasmari,

Martinez-Vazquez,

Baniotopoulos

2024

Lecture Notes in Civil Engineering

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There is a growing emphasis in current global construction sector for the incorporating of sustainability ideas into design and construction practices. This present paper investigates the considerable impact of using Building Information Modelling (BIM) techniques to address sustainability and financial concerns in a residential project in the Kingdom of Saudi Arabia (KSA). We propose to further embedding BIM 3D modelling and the development of alternative design scenarios for optimising Life Cycle Cost (LCC) and Life Cycle Assessment (LCA). Four scenarios are assessed using Green Building Studio (GBS) for whole-building analysis, and specific design units are assessed using One Click LCA, which is integrated into Revit. The significance of the study relies on merging of BIM and LCC to improve the sustainability of residential developments at the KSA. It also intends to optimise resource efficiency, reduce environmental impact, and increase cost-effectiveness throughout the whole life cycle of residential structures by using simulation approaches. The findings will benefit industry stakeholders by encouraging sustainable practises that inform decision-making processes in the context of Saudi residential development.

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Leveraging Whole Life Cycle Costs When Utilising Building Information Modelling Technologies

Abstract: Building Information Modelling (BIM) is now being increasingly used as a technology tool to assist design

Cited by 8 publications

References 11 publications

A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry

A multivariate regression approach toward prioritizing BIM adoption barriers in the Ethiopian construction industry

ANN/BIM-based model for predicting the energy cost of residential buildings in Saudi Arabia

Utilising BIM on LCC to Enhance the Sustainability of Saudi Residential Projects Through Simulation. A Case Study at the Kingdom of Saudi Arabia

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