Information and IN-formation

Chiu, Mao-Lin; Lan, Ju-Hung

doi:10.1016/j.autcon.2004.07.011

“…Communication chain between parties [41] Discovering systems and tools that are most needed in supporting collaborative design; the communication facility is found to be the most supportive.…”

Section: Authorsmentioning

confidence: 99%

BIM and E-Negotiation Practices in AEC Consulting Businesses

Rahmawati

¹

,

Utomo

²

,

Zawawi

³

2019

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Architectural, engineering, and construction (AEC) consulting businesses are developing into a specialized industry, and collaborative decision making is essential to obtain the finest design. Everything is now virtual. Building information modelling (BIM) has the most potential to support current practices. BIM is promising for effective and efficient design processes. Negotiation and decision-making processes appear to be activities that are the most difficult for BIM to facilitate. Both activities are hard to complete in person and virtually. Every participant has their own preferences, intention, and pay-off optimum, and conflicts are difficult to avoid. Communication and e-negotiation are main issues in BIM practices. This paper proposes BIM and e-negotiation practices in AEC consulting businesses, with the main intention to reveal critical success factors that enhance the utilization of BIM in supporting communication and e-negotiation. A survey through observation and questionnaire distribution was used to collect the data. Descriptive analysis through a mean and standard deviation scatter plot was used to analyse the data. Two hundred and two respondents consisting of 91 design managers (leaders) and 111 designers/consultants (non-leaders) were involved in the research. Based on the analysis, it was found that there are different perceptions between those two groups. The design managers stated that they were the most vital factor in supporting the e-negotiation in BIM, whereas the consultants (designers) stated that job description was the main essential factor.

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“…Large effort has been invested in research to understand and model the collaboration among experts based on each of i the mentioned aspects (Kvan, 2000;Simoff and Maher, 2000). Possible supports have also been variously developed to improve the collaboration (Maher et al, 1997a;Maher et al, 1997b;van Leeuwen, 1999;Kolarevic et al, 2000;Chiu and Lan, 2005). Large attention has been and still is given to the integration of different disciplines in the advanced phase of design, while less attention has been given to the interdisciplinarity of the conceptual phase.…”

Section: Digital Geometric Modellingmentioning

confidence: 99%

Performance Assessment Strategies

Turrin

2013

Architecture and the Built Environment

1

0

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Using engineering performance evaluations to explore design alternatives during the conceptual phase of architectural design helps to understand the relationships between form and performance; and is crucial for developing well-performing final designs. Computer aided conceptual design has the potential to aid the design team in discovering and highlighting these relationships; especially by means of procedural and parametric geometry to support the generation of geometric design, and building performance simulation tools to support performance assessments. However, current tools and methods for computer aided conceptual design in architecture do not explicitly reveal nor allow for backtracking the relationships between performance and geometry of the design. They currently support post-engineering, rather than the early design decisions and the design exploration process. Focusing on large roofs, this research aims at developing a computational design approach to support designers in performance driven explorations. The approach is meant to facilitate the multidisciplinary integration and the learning process of the designer; and not to constrain the process in precompiled procedures or in hard engineering formulations, nor to automatize it by delegating the design creativity to computational procedures. PAS (Performance Assessment Strategies) as a method is the main output of the research. It consists of a framework including guidelines and an extensible library of procedures for parametric modelling. It is structured on three parts. Pre-PAS provides guidelines for a design strategy-definition, toward the parameterization process. Model-PAS provides guidelines, procedures and scripts for building the parametric models. Explore-PAS supports the solutions-assessment based on numeric evaluations and performance simulations, until the identification of a suitable design solution. PAS has been developed based on action research. Several case studies have focused on each step of PAS and on their interrelationships. The relations between the knowledge available in pre-PAS and the challenges of the solution space exploration in explore-PAS have been highlighted. In order to facilitate the explore-PAS phase in case of large solution spaces, the support of genetic algorithms has been investigated and the exiting method ParaGen has been further implemented. Final case studies have focused on the potentials of ParaGen to identify well performing solutions; to extract knowledge during explore-PAS; and to allow interventions of the designer as an alternative to generations driven solely by coded criteria. Both the use of PAS and its recommended future developments are addressed in the thesis.

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“…Large effort has been invested in research to understand and model the collaboration among experts based on each of i the mentioned aspects (Kvan, 2000;Simoff and Maher, 2000). Possible supports have also been variously developed to improve the collaboration (Maher et al, 1997a;Maher et al, 1997b;van Leeuwen, 1999;Kolarevic et al, 2000;Chiu and Lan, 2005). Large attention has been and still is given to the integration of different disciplines in the advanced phase of design, while less attention has been given to the interdisciplinarity of the conceptual phase.…”

Section: Digital Geometric Modellingmentioning

confidence: 99%

Performance Assessment Strategies: A computational framework for conceptual design of large roofs

Turrin

2013

Architecture and the Built Environment

0

View full text Add to dashboard Cite

Using engineering performance evaluations to explore design alternatives during the conceptual phase of architectural design helps to understand the relationships between form and performance; and is crucial for developing well-performing final designs. Computer aided conceptual design has the potential to aid the design team in discovering and highlighting these relationships; especially by means of procedural and parametric geometry to support the generation of geometric design, and building performance simulation tools to support performance assessments. However, current tools and methods for computer aided conceptual design in architecture do not explicitly reveal nor allow for backtracking the relationships between performance and geometry of the design. They currently support post-engineering, rather than the early design decisions and the design exploration process. Focusing on large roofs, this research aims at developing a computational design approach to support designers in performance driven explorations. The approach is meant to facilitate the multidisciplinary integration and the learning process of the designer; and not to constrain the process in precompiled procedures or in hard engineering formulations, nor to automatize it by delegating the design creativity to computational procedures. PAS (Performance Assessment Strategies) as a method is the main output of the research. It consists of a framework including guidelines and an extensible library of procedures for parametric modelling. It is structured on three parts. Pre-PAS provides guidelines for a design strategy-definition, toward the parameterization process. Model-PAS provides guidelines, procedures and scripts for building the parametric models. Explore-PAS supports the solutions-assessment based on numeric evaluations and performance simulations, until the identification of a suitable design solution. PAS has been developed based on action research. Several case studies have focused on each step of PAS and on their interrelationships. The relations between the knowledge available in pre-PAS and the challenges of the solution space exploration in explore-PAS have been highlighted. In order to facilitate the explore-PAS phase in case of large solution spaces, the support of genetic algorithms has been investigated and the exiting method ParaGen has been further implemented. Final case studies have focused on the potentials of ParaGen to identify well performing solutions; to extract knowledge during explore-PAS; and to allow interventions of the designer as an alternative to generations driven solely by coded criteria. Both the use of PAS and its recommended future developments are addressed in the thesis.

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Information and IN-formation

Cited by 24 publications

References 6 publications

BIM and E-Negotiation Practices in AEC Consulting Businesses

BIM and E-Negotiation Practices in AEC Consulting Businesses

Performance Assessment Strategies

Performance Assessment Strategies: A computational framework for conceptual design of large roofs

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