Abstracts – Browse Results
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Abu Dabous, S (2008) A decision support methodology for rehabilitation management of concrete bridges, Unpublished PhD Thesis, , Concordia University (Canada).
Al-Hussein, M (1999) An integrated information system for crane selection and utilisation, Unpublished PhD Thesis, , Concordia University (Canada).
Alshibani, A (2008) Optimizing and controlling earthmoving operations using spatial technologies, Unpublished PhD Thesis, , Concordia University (Canada).
Budawara, N (2009) Key performance indicators to measure design performance in construction, Unpublished PhD Thesis, , Concordia University (Canada).
- Type: Thesis
- Keywords: construction sector; efficiency; measurement; construction cost; construction firms; construction project; key performance indicators; designer; Canada; project performance; quantification; case studies; interview; questionnaire survey
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/603226623
- Abstract:
The performance of the design activities for a construction project can have a significant impact on the overall performance and efficiency of the project. Design activities need to be monitored to measure performance of the design process. Performance indicators can be used in this process. The Indicators can: i) measure the degree of success of a project or organization; ii) predict, control and measure the performance of design processes; iii) benchmark performances of different projects within the same company or with other firms; iv) track and demonstrate long-term development and improvement, thereby decreasing design and construction cost and time and increasing the quality of the design product. In the context of Canada, specific construction performance indicators to assess construction project performance across project phases have yet to be formulated and documented. Therefore, there is a need to develop such indicators for the Canadian consulting engineering. From this perspective, the present research introduces practical framework and describes a model that measure the performance of the design activities for Canadian construction projects. The main objectives of this research are the following: i) to identify key indicators that affect the design performance of construction projects; ii) to develop a model for Key Performance Indicators (KPIs) to measure the performance of design activities in the Canadian construction industry; and iii) to examine the possibility of their use in the construction industry. The methodology adopted for this research is based on review of the existing literature on design processes, review of the existing literature on design performance indicators, questionnaire surveys, interviews with practitioners, and case studies. The questionnaires along with the interviews with designers and managers from the Canadian consulting engineering are mainly conducted to explore and indentify indicators affecting the design performance. The case studies are used to validate and amend the use of these indicators in measuring project performance at the design stage. A web-based questionnaire aimed at design and construction firms was constructed. The significance and the quantification of design performance indicators are determined using a statistical package. The results from the questionnaire were used to develop a generic set of nine groups of design performance indicators for the Canadian consulting engineering. However, this research focuses on the heavy construction sector. The nine groups of indicators have been compared in pairs to identify their level of importance to each other. Experts from heavy construction participated in the pairwise comparisons task. Built on the results of the survey and experts judgment, a Model for Design Performance Measurement (MDPM) is introduced. The MDPM uses the standard Analytic Hierarchy Process (AHP) method to assign weights to the scores of the selected indicators, to measure a project performance and to compare projects. The MDPM is tested for small scale heavy constructions. The developed design performance measurement model can 1) predict, track, and control future performance, 2) highlight area/s for future improvement, 3) enable companies to benchmark the performance of different projects from the same or different companies, and 4) document all design performance data.
El-Rayes, K A (1998) Optimized scheduling for repetitive construction projects, Unpublished PhD Thesis, , Concordia University (Canada).
Hammad, M M (2001) CPDICenter: Web-based virtual construction project document information center in support of claims preparation, Unpublished PhD Thesis, , Concordia University (Canada).
Hassanein, A (2003) Planning and scheduling highway construction using GIS and dynamic programming, Unpublished PhD Thesis, , Concordia University (Canada).
Hegazy, T M (1994) Integrated bid preparation with emphases on risk assessment using neural networks, Unpublished PhD Thesis, , Concordia University (Canada).
Iliescu, S (2000) A case-based reasoning approach to the designing of building envelopes, Unpublished PhD Thesis, , Concordia University (Canada).
Jrade, A (2004) Integrated conceptual cost estimating and life cycle costing system for building projects, Unpublished PhD Thesis, , Concordia University (Canada).
Li, J (2004) Web-based integrated project control, Unpublished PhD Thesis, , Concordia University (Canada).
Marzouk, M (2002) Optimizing earthmoving operations using computer simulation, Unpublished PhD Thesis, , Concordia University (Canada).
Meniru, K C U (2005) Computer-aided conceptual building design, Unpublished PhD Thesis, , Concordia University (Canada).
Morcous, G S L (2000) Case -based reasoning for modeling bridge deterioration, Unpublished PhD Thesis, , Concordia University (Canada).
Ravi, M (1998) Knowledge-based system approach to integrated design of multistorey office buildings at the preliminary stage, Unpublished PhD Thesis, , Concordia University (Canada).
Sadeghpour, F (2004) A CAD-based model for site layout, Unpublished PhD Thesis, , Concordia University (Canada).
Shehab-Eldeen, T (2002) An automated system for detection, classification and rehabilitation of defects in sewer pipes, Unpublished PhD Thesis, , Concordia University (Canada).