scholarly journals Forecasting the net costs to organisations of Building Information Modelling (BIM) implementation at different levels of development (LOD)

2019 ◽  
Vol 24 ◽  
pp. 588-603 ◽  
Author(s):  
Ying Hong ◽  
Ahmed Hammad ◽  
Ali Akbarnezhad

Numerous frameworks and tools have been proposed in the literature to assess the performance of BIM implementation in the Architecture, Engineering and Construction (AEC). However, there is yet a lack of ex-ante evaluation methods that forecast BIM implementation costs. This study aims to propose an ex-ante evaluation method to forecast the net costs of BIM implementation at different Level of Development (LOD). The proposed method is expected to assist decision makers to find the most cost-saving LOD when investing resources for implementing BIM, from an organisational perspective. The proposed method relies on an Artificial Neural Network (ANN) for each type of implementation costs and benefits. The findings suggest that decision makers need to evaluate an organisation’s competency and their implemented BIM applications when choosing the BIM implementation level of BIM. Furthermore, the results show that a higher BIM implementation level does not often secure more benefits. Over 30 features were included in the ANNs with results indicating the possibility of expanding the feature set to obtain more accurate results.

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8487
Author(s):  
Serdar Durdyev ◽  
Gholamreza Dehdasht ◽  
Saeed Reza Mohandes ◽  
David J. Edwards

In recent years, many researchers across the world have addressed the implementation of Building Information Modelling (BIM) in the energy assessment of the built environment. However, several potential issues still need to be resolved in order to utilise the benefits provided by BIM to a maximum degree. To fill this gap, a systematic literature review is conducted in this study to critically investigate the utilisation of BIM tools in energy assessment. To achieve the above-mentioned objective, after shortlisting the relevant papers published hitherto, using keyword searching, a systematic review was undertaken, including the application of BIM in the contexts of different countries, types of BIM tools, BIM and Life Cycle Assessment (LCA) integration, energy affiliations, stakeholders’ involvement and their roles, uncertainty, and sensitivity analysis. The outcomes show the most widely used and effective BIM tools in different types of construction projects in various countries. The review of the literature clearly shows that BIM tools can effectively be used in the assessment of energy performance of buildings. The article gives insight to engineers, architecture, and decision makers to carefully select appropriate BIM tools in terms of energy assessment.


Author(s):  
Bilal Succar

Building Information Modelling (BIM) is an expanding collection of concepts and tools which have been attributed with transformative capabilities within the Architecture, Engineering, Construction and Operations (AECO) industry. BIM discussions have grown to accommodate increasing software capabilities, infinitely varied deliverables, and competing standards emanating from an abundance of overlapping definitions attempting to delineate the BIM term. This chapter will steer away from providing its own definition of BIM yet concurs with those identifying it as a catalyst for change (Bernstein, 2005) poised to reduce industry’s fragmentation (CWIC, 2004), improve its efficiency (Hampson & Brandon, 2004) and lower its high costs of inadequate interoperability (NIST, 2004). In essence, BIM represents an array of possibilities and challenges which need to be understood and met respectively through a measurable and repeatable approach. This chapter briefly explores the multi-dimensional nature of the BIM domain and then introduces a knowledge tool to assist individuals, organisations and project teams to assess their BIM capability, maturity and improve their performance (Figure 1). The first section introduces BIM Fields and Stages which lay the foundations for measuring capability and maturity. Section 2 introduces BIM Competencies which can be used as active implementation steps or as performance assessment areas. Section 3 introduces an Organisational Hierarchy/Scale suitable for tailoring capability and maturity assessments according to markets, industries, disciplines and organisational sizes. Section 4 explores the concepts behind ‘capability maturity models’ and then adopts a five-level BIM-specific Maturity Index (BIMMI). Section 5 introduces the BIM Maturity Matrix (BIm³), a performance measurement and improvement tool which identifies the correlation between BIM Stages, Competency Sets, Maturity Levels and Organisational Scales. Finally, Section 6 introduces a Competency Granularity Filter which enables the tailoring of BIM tools, guides and reports according to four different levels of assessment granularity.


Author(s):  
R. Stouffs ◽  
F. Biljecki ◽  
K. H. Soon ◽  
V. Khoo

<p><strong>Abstract.</strong> Aiming to bring together international researchers from academia, industry and government in the field of 3D geoinformation, the annual 3D GeoInfo Conference offers an interdisciplinary forum to researchers in the fields of data collection, advanced modelling approaches, data analysis and visualisation. The 14th 3D GeoInfo Conference 2019 was held on 26 and 27 September 2019 at the Asian Civilisations Museum in Singapore, organised by the National University of Singapore, School of Design and Environment, and the Singapore Land Authority, in collaboration with ISPRS WG IV/10. </p><p>This volume of the ISPRS Annals contains the 19 papers that were accepted for presentation at the conference following a fullpaper double-blind peer review from the Scientific Committee of the 3D GeoInfo Conference. Among others, they cover subjects of urban reconstruction, 3D mapping and digital twins, machine learning and urban analysis, and the integration of Building Information Modelling (BIM) and GIS. Another 17 presented papers are published in the ISPRS Archives.</p><p>We hope that the papers in this special issue will inspire decision-makers, academics, engineers, computer scientists, land surveyors, urban planners, and students interested in the 3D geoinformation domain. We would like to thank all the authors, the Scientific Committee, and the entire Organising Committee for their valuable contribution towards this special issue. Additionally, we would like to thank Giorgio Agugiaro, chair of WG IV/10, for his support of the conference and Jielin Chen and Palak Mehta for their help with checking the formatting of the papers.</p>


2020 ◽  
Vol 12 (12) ◽  
pp. 5129 ◽  
Author(s):  
Yohannes A. Alamerew ◽  
Marianna Lena Kambanou ◽  
Tomohiko Sakao ◽  
Daniel Brissaud

The circular economy (CE) can drive sustainability. For companies to select and implement circularity strategies, they need to evaluate and compare the performance of these strategies both in terms of progress towards CE but also based on their feasibility and business outcomes. However, evaluation methods for circularity strategies at the product level are lacking. Therefore, this research proposes a multi-criteria evaluation method of circularity strategies at the product level which can be used by business decision-makers to evaluate and compare the initial business of the company, transformative and future circularity strategies. This multi-criteria evaluation method aims to assist business decision-makers to identify a preferred strategy by linking together a wide variety of criteria, i.e., environmental, economic, social, legislative, technical, and business, as well as by proposing relevant indicators that take into consideration, where possible, the life cycle perspective. It also allows for flexibility so that criteria, sub-criteria, and weighing factors can be altered by the business decision-makers to fit the needs of their specific case or product. Two illustrative examples based on case companies are presented to verify and illustrate the proposed method.


2019 ◽  
Vol 8 (11) ◽  
pp. 499 ◽  
Author(s):  
Olfat ◽  
Atazadeh ◽  
Shojaei ◽  
Rajabifard

Cities are facing dramatic challenges due to population growth and the massive development of high-rises and complex structures, both above and below the ground surface. Decision-makers require access to an efficient land and property information system, which is digital, three-dimensional (3D), spatially accurate, and dynamic containing interests in land (rights, restrictions and responsibilities—RRRs) to manage the legal and physical complexities of urban environments. However, at present, building subdivision workflows only support the two-dimensional (2D) building subdivision plans in PDF or image formats. These workflows result in a number of issues, such as the plan preparation being complex, the examination process being labor intensive and requiring technical expertise, information not being easily reusable by all subdivision stakeholders, queries, analyses, and decision-making being inefficient, and the RRRs interpretation being difficult. The aim of this research is to explore the potential of using Building Information Modelling (BIM) and its open standards to support the building subdivision workflows. The research that is presented in this paper proposes a BIM-driven building subdivision workflow, evaluated through a case study in the state of Victoria, Australia. The results of the study confirmed that the proposed workflow could provide a feasible integrated mechanism for stakeholders to share, document, visualize, analyze, interpret, and reuse 3D digital cadastral data over the lifespan of a building subdivision project.


2021 ◽  
Vol 1 (1) ◽  
pp. 52-60
Author(s):  
Abdulkadir Ganah ◽  
Gavin Lea

Building Information Modelling (BIM) represents a paradigm shift in the Architectural, Engineering and Construction (AEC) industry as companies reposition themselves from a people, technology and process perspective to improve efficiency and quality. The aim of this paper is to identify and compare BIM standards, guidelines and templates from around the globe in order to provide an indicative central resource for BIM documentation and gaps in BIM standards. To achieve this aim, a qualitative research methodological approach was utilised, underpinned by document analysis of BIM standards developed in different countries across six continents. These findings are presented in tabular format along with illustrations to highlight documentation gaps, which form the basis of discussion. This research evaluates 13 countries’ BIM standards, guidelines and templates; the correlation of which presents relationships and synergy, including recommendations for the development of standards based on the gaps presented. Research findings provide a pivotal appreciation of the different levels of maturity – the discourse of which can act as a signpost for each countries reflection, viz: government, industry bodies or academic institution to help develop BIM standards to fill the gaps in contract, Employers Information Requirement (EIR), BIM Execution Plan (BEP) and design documentation.


Author(s):  
R. Stouffs ◽  
F. Biljecki ◽  
K. H. Soon ◽  
V. Khoo

<p><strong>Abstract.</strong> Aiming to bring together international researchers from academia, industry and government in the field of 3D geoinformation, the annual 3D GeoInfo Conference offers an interdisciplinary forum to researchers in the fields of data collection, advanced modelling approaches, data analysis and visualisation. The 14th 3D GeoInfo Conference 2019 was held on 26 and 27 September 2019 at the Asian Civilisations Museum in Singapore, organised by the National University of Singapore, School of Design and Environment, and the Singapore Land Authority, in collaboration with ISPRS WG IV/10.</p><p>This volume of the ISPRS Archives contains the 17 papers that were accepted for presentation at the conference following an extended-abstract double-blind peer review from the Scientific Committee of the 3D GeoInfo Conference. Among others, they cover subjects of 3D mapping and digital twins, machine learning and urban analysis, and the integration of Building Information Modelling (BIM) and GIS. Another 19 presented papers are published in the ISPRS Annals.</p><p>We hope that the papers in this special issue will inspire decision-makers, academics, engineers, computer scientists, land surveyors, urban planners, and students interested in the 3D geoinformation domain. We would like to thank all the authors, the Scientific Committee, and the entire Organising Committee for their valuable contribution towards this special issue. Additionally, we would like to thank Giorgio Agugiaro, chair of WG IV/10, for his support of the conference and Jielin Chen and Palak Mehta for their help with checking the formatting of the papers.</p>


Author(s):  
Ádám Tamás Kovács ◽  
András Micsik

This paper discusses a method for evaluating building information models from the point of view of different disciplines. The ultimate goal is to provide a methodology for decision-makers on an Architecture, Engineering, and Construction (AEC) project, where they can follow the status and performance of the BIM model at each project milestone, from different aspects, in a comparable manner. This methodology requires an evaluation method that aggregates data input by the designers. Interpreting BIM models is complex – multi-dimensional, in fact, considering the meta-information added to it. Therefore, the aggregation process is not trivial and may differ in several cases. We build up multi-dimensional diagrams to chart the possible factors of the evaluation, besides introducing aggregation rules and visualizations. For such a method, it was essential to analyze BIM ontologies in order to establish a precise definition for each concept: milestones, building parts, indicator metrics, etc. We describe an example project workflow where our method works in theory, while we give a practical solution how to add the evaluation data to the BIM model with CAAD software.


2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model


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