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Enregistrement W3196414549

Building Information Modeling (BIM) 'Best practices' project report: An investigation of 'best practices' through case studies at regional, national, and international levels

2011· article· en· W3196414549 sur OpenAlexaboutno aff
Sheryl Staub‐French, Daniel Forgues, Ivanka Iordanova, Amir Kassaian, Basel Abdulaal, Mike Samilski, Hasan Burak Çavka, Madhav Prasad Nepal

Notice bibliographique

RevueQUT ePrints (Queensland University of Technology) · 2011
Typearticle
Langueen
DomaineEngineering
ThématiqueBIM and Construction Integration
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBuilding information modelingIntegrated project deliveryBest practiceProcess managementWork (physics)Scope (computer science)BusinessProject teamProcess (computing)Real estateProject managementKnowledge managementEngineeringOperations managementComputer scienceSystems engineeringFinance
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Building Information Modeling (BIM) involves a new approach to project delivery that focuses on developing and using an information‐rich model of a facility to improve the design, construction and operation of a facility. Many projects have now successfully implemented BIM with significant benefits, including increased design quality, improved field productivity, cost predictability, reduced conflicts and changes, and reduced construction cost and duration to name a few. However, successful implementation of BIM requires drastic changes in the organization of work that cannot be achieved without redefining work practices, which might explain the slow adoption rate, particularly in Canada. The mandate of this research project was to investigate BIM ‘best practices’ for the Canadian industry to better understand what is working and what might be the obstacles. The research team identified seven projects at regional, national and international levels and analyzed these projects along three dimensions: Technology, Organization and Process. It is our belief that successful implementation of BIM requires a balance between these three dimensions. We also investigated existing BIM guidelines and standards to see how other countries are driving BIM adoption and measuring the return on investment. <br/><br/>The following highlights some of the ‘best practices’ identified along the three dimensions: <br/>Technology <br/>• Owner: specify clear, complete, and open requirements. • Owner/Project Team: determine uses/purposes of the model. • Owner/Project Team: determine the scope of the model and the level of detail of the modeling effort required to support each purpose.<br/><br/> Organization<br/> • Owner: rethink the organizational structure/practices for managing its construction projects and real estate portfolio. • Owner/Project Team: early involvement of all key disciplines is essential. • Owner: implement the appropriate incentives to enable collaborative BIM. <br/><br/> Process<br/> • Owner/supply chain: devise and agree on shared goals regarding what is expected to be achieved. • Supply chain: devise and agree on a BIM execution plan. • Supply chain: clearly define roles and responsibilities including handoffs between disciplines.<br/><br/>This report demonstrates that although BIM is quite new in the Canadian landscape, there already exists an abundance of information (guidelines and standards) from other countries, which we can leverage to advance BIM adoption in Canada. The UK initiative, in particular, provides an excellent example of a thoughtful, deliberate and well‐resourced process that the government initiated to investigate the appropriate application of BIM for public projects, and to develop a long‐term strategy for how to help the industry make the transition to this new way of working. Our intent with this report was to first capture the essence of these international efforts to make sense of and document how BIM is changing our industry; and second, to make knowledge tangible through the description of cases that outline some or many of these best practices while also presenting lessons learned. There are still major challenges ahead, particularly in terms of procurement and education. To reap the full benefits of BIM, contracts encouraging collaboration and partnership such as Integrated Project delivery (IDP) should be adopted. Proper training at the university and professional levels has to be initiated. BIM has to be built around trust and sharing. The government of Alberta is leading the way in Canada in its initiatives to support its industry in adopting BIM, involving universities to participate in this process. Additional efforts are needed to develop a strategy for driving BIM adoption, continue to document emerging best practices in Canadian BIM projects, and to develop and formalize tools to help industry measure their performance and maturity in using BIM.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,400
Score d'incertitude au seuil0,572

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,174
Tête enseignante GPT0,325
Écart entre enseignants0,151 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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