TY - CONF
T1 - Standardization of whole life cost estimation for early design decision-making utilizing BIM
AU - Zanni, Mariangela
AU - Sharpe, Tim
AU - Lammers, Philipp
AU - Arnold, Leo
AU - Pickard, James
N1 - Note: This paper was published as: Zanni M., Sharpe T., Lammers P., Arnold L., Pickard J. (2019) Standardization of Whole Life Cost Estimation for Early Design Decision-Making Utilizing BIM. In: Mutis I., Hartmann T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham pp.773-779. ISBN: 9783030002190.
PY - 2018/10/3
Y1 - 2018/10/3
N2 - It is becoming increasingly clear that there is a gap between the ex- pected and actual performance of buildings. A growing body of evidence sug- gests that the most common barrier to achieving design intent is the absence of comprehensive information during design and construction stages, leading to poor decision-making which impacts on performance and Whole Life Cost (WLC). Building Information Modelling (BIM) has the potential to facilitate a more comprehensive and accurate design approach from the early stages. A de- tailed and accurate model can allow designers and clients to understand the wider impacts of design changes, and to track this information through con- struction stages. However, dependencies between design decisions and WLC have yet to be understood. This paper is based on a project that focuses on the Private Rental Sector (PRS), which is the fastest growing new sector in the UK housing market, also known as Build-to-Rent (BTR). The study adopts a mixed method approach for the development and validation of a structured standard- ised process for more accurate WLC estimation through BIM. As a result, the main problems in WLC BIM management are identified, and coordinated into a reverse-engineered systematic process that uses the Integrated DEFinition (IDEF) 3 structured diagramming modelling technique, and the Industry Foundation Classes (IFC) as a basis for large dataset management. The research out- puts aim to enhance BIM lifecycle management through a smart decision- making approach that is integral to the natural design development process.
AB - It is becoming increasingly clear that there is a gap between the ex- pected and actual performance of buildings. A growing body of evidence sug- gests that the most common barrier to achieving design intent is the absence of comprehensive information during design and construction stages, leading to poor decision-making which impacts on performance and Whole Life Cost (WLC). Building Information Modelling (BIM) has the potential to facilitate a more comprehensive and accurate design approach from the early stages. A de- tailed and accurate model can allow designers and clients to understand the wider impacts of design changes, and to track this information through con- struction stages. However, dependencies between design decisions and WLC have yet to be understood. This paper is based on a project that focuses on the Private Rental Sector (PRS), which is the fastest growing new sector in the UK housing market, also known as Build-to-Rent (BTR). The study adopts a mixed method approach for the development and validation of a structured standard- ised process for more accurate WLC estimation through BIM. As a result, the main problems in WLC BIM management are identified, and coordinated into a reverse-engineered systematic process that uses the Integrated DEFinition (IDEF) 3 structured diagramming modelling technique, and the Industry Foundation Classes (IFC) as a basis for large dataset management. The research out- puts aim to enhance BIM lifecycle management through a smart decision- making approach that is integral to the natural design development process.
KW - Building Information Modelling (BIM)
KW - process modelling
KW - nD modelling
KW - Whole Life Cost (WLC)
KW - Integrated DEFinition (IDEF) language
KW - Civil engineering
U2 - 10.1007/978-3-030-00220-6_93
DO - 10.1007/978-3-030-00220-6_93
M3 - Paper
T2 - 35th CIB W78 2018 Conference : IT in Design, Construction, and Management
Y2 - 1 October 2018 through 3 October 2018
ER -