BIM-based benchmarking system for healthcare projects: Feasibility study and functional requirements

Choi, Jiyong; Leite, Fernanda; Oliveira, Daniel P. de

doi:10.1016/j.autcon.2018.09.015

Cited by 14 publications

(6 citation statements)

References 43 publications

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“…For example, undefined rights and responsibilities may cause legal problems in data security and sharing (Azhar, 2011). Therefore, if data security is not ensured, any sensitive data will not be shared (Choi et al, 2018). This indicates that legal issues are more related to BIM than the local AEC industry status, a country's income level or AEC practitioners' attitudes.…”

Section: Component 3: Organizationalmentioning

confidence: 99%

Factors affecting BIM implementation in post-conflict low-income economies: the case of Afghanistan

Al-Mohammad

Haron

Aloko

et al. 2021

JEDT

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Purpose Rejecting building information modeling (BIM) can negatively impact the architectural, engineering and construction (AEC) industries. While BIM is trending globally, its implementation in post-conflict low-income economies is still limited. The purpose of this paper is to identify the critical factors for implementing BIM in a post-conflict low-income economy, using Afghanistan as a case study. Design/methodology/approach This study identifies potential affecting factors for BIM implementation through reviewing existing literature and interviewing AEC professionals in Afghanistan. Then, the factors are inserted into a questionnaire survey and disseminated with Afghanistan’s AEC practitioners. The collected data was analyzed to determine the critical factors. Also, the underlying relationships between the critical factors were established through factor analysis. Findings A total of 11 critical factors are affecting BIM implementation in Afghanistan. From those, nine factors can be grouped into the following three components: technological, environmental and organizational. Two factors, “cost-benefit of implementing BIM” and “market demand for BIM,” are recurring in low- and middle-income economies. Conversely, the “presence of appropriate projects to implement BIM” is the unique critical factor for Afghanistan that might affect other post-conflict low-income economies. Originality/value This study focuses on affecting factors for BIM implementation in post-conflict low-income economies, using Afghanistan as a reference rather than other types of economies that have been widely studied.

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Section: Component 3: Organizationalmentioning

confidence: 99%

Factors affecting BIM implementation in post-conflict low-income economies: the case of Afghanistan

Al-Mohammad

Haron

Aloko

et al. 2021

JEDT

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“…Choi et al [9]; Kim et al [10]; Lee e Walter [11]; Liu et al [12]; Suermann e Issa [13]; Yarmohammadi et al [14]; Zhang et al [15] Economia de material Liu et al [12] Custos Abdirad [16]; Choi et al [9]; Francom e El Asmar [17]; Kim et al [10]; Wang et al [18]; Won et al [19] Melhorias em H&S Cecconi et al [20] Redução de riscos Lipman et al [21] Melhoria da utilização dos ativos Choi et al [9]; Lee e Walter [11]; Won et al [19]; Yang e Ergan [22] Melhoria da qualidade dos ativos Atazadeh et al [23]; Cecconi et al [20]; Cerovsek [24]; Dong et al [25]; Francom e El Asmar [17]; Dado BIM Dado é o registro do atributo, de um objeto ou fenômeno [30]. Neste caso o Dado BIM é um registro de um atributo contido no modelo BIM.…”

Section: Redução De Tempounclassified

Estrutura conceitual de métricas BIM

Gonçalves

Ruschel

2022

Xix Encontro Nacional De Tecnologia Do Ambiente Construído

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As ferramentas atuais de gestão que usam métricas precisam introduzir mudanças para usufruir os benefícios do BIM. Desta forma, faz-se os seguintes questionamentos: Quais métricas se aplicam ou fazem uso da informação no contexto do BIM? Qual o grau de suporte que a modelagem da informação da construção dá às métricas? O objetivo desta pesquisa é caracterizar o universo de métricas da indústria de AEC e o potencial de mediação por BIM associado. Como resultado foi elaborado um modelo caracterizante da métrica no contexto de BIM e que permite a elaboração e adaptação de novas métricas ao contexto de BIM.

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“…Abdirad (2017) suggested dividing BIM evaluation metrics into three groups: quantitative metrics, qualitative metrics, and criteria-like indicators. Choi, Leite, & de Oliveira (2018) suggested using these groups of metrics: cost, schedule, dimensions and planning.…”

Section: Bim Assessment Solutionsmentioning

confidence: 99%

Assessing the performance of the BIM implementation process: a case study

Vilutienė

Kiaulakis

Migilinskas

2021

rdlc

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The article proposes a system of indicators to measure the performance of BIM (Building Information Modelling) projects. Proposed indicators divided into two groups: quantitative (cost and time related numerical values) and qualitative (verbally expressed measures recalculated to scores according to proposed four-point rating scale). The metrics include the calculation of time and cost variations, the assessment of the organizational scale of BIM deployment, BIM competency granularity level, BIM capability level, BIM maturity level. In the case study, the proposed indicators applied for the evaluation of the results of the real construction project. The limitations and difficulties faced up during the project implementation discussed, and the benefits of the application of the BIM methodology revealed. The application of the proposed methodology is useful in assessing, at which level the BIM applied in construction projects and measuring the progress towards achieving project goals. The proposed methodology may also be useful for constant monitoring of the BIM implementation in construction projects.

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BIM-based benchmarking system for healthcare projects: Feasibility study and functional requirements

Cited by 14 publications

References 43 publications

Factors affecting BIM implementation in post-conflict low-income economies: the case of Afghanistan

Factors affecting BIM implementation in post-conflict low-income economies: the case of Afghanistan

Estrutura conceitual de métricas BIM

Assessing the performance of the BIM implementation process: a case study

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