ARCOM

Abstracts – Browse Results

Click on the titles below to expand the information about each abstract.
Viewing 8 results ...

Chan, M (2011) Fatigue: the most critical accident risk in oil and gas construction. Construction Management and Economics, 29(04), 341–53.

Elazouni, A and Salem, O A (2011) Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29(04), 355–70.

Hallowell, M, Esmaeili, B and Chinowsky, P (2011) Safety risk interactions among highway construction work tasks. Construction Management and Economics, 29(04), 417–29.

Hiete, M, Kühlen, A and Schultmann, F (2011) Analysing the interdependencies between the criteria of sustainable building rating systems. Construction Management and Economics, 29(04), 323–8.

Hu, K, Rahmandad, H, Smith‐Jackson, T and Winchester, W (2011) Factors influencing the risk of falls in the construction industry: a review of the evidence. Construction Management and Economics, 29(04), 397–416.

Issa, M H, Attalla, M, Rankin, J H and Christian, A J (2011) Energy consumption in conventional, energy‐retrofitted and green LEED Toronto schools. Construction Management and Economics, 29(04), 383–95.

Schade, J, Olofsson, T and Schreyer, M (2011) Decision‐making in a model‐based design process. Construction Management and Economics, 29(04), 371–82.

Type: Journal Article
Keywords: decision-making; design process; energy; design decision; BIM
ISBN/ISSN: 0144-6193
URL: https://doi.org/10.1080/01446193.2011.552510
Abstract:
Decisions early in the design process have a big impact on the life cycle performance of a building. The outcome of a construction project can be improved if different design options can rapidly be analysed to assist the client and design team in making informed decisions in the design process. A model?based design approach can facilitate the decision?making process if the design alternatives' performances can be evaluated and compared. A decision?making framework using a performance?based design process in the early design phase is proposed. It is developed to support decision?makers to take informed decisions regarding the life cycle performance of a building. A scenario is developed in order to demonstrate the proposed framework of evaluating the different design alternatives' energy performance. The framework is applicable to decision?making in a structured design process, where design alternatives consisting of both objective and subjective evaluation criteria can be evaluated.