Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 17 results ...
Abu Dabous, S (2008) A decision support methodology for rehabilitation management of concrete bridges, Unpublished PhD Thesis, , Concordia University (Canada).
Al-Hussein, M (1999) An integrated information system for crane selection and utilisation, Unpublished PhD Thesis, , Concordia University (Canada).
Alshibani, A (2008) Optimizing and controlling earthmoving operations using spatial technologies, Unpublished PhD Thesis, , Concordia University (Canada).
Budawara, N (2009) Key performance indicators to measure design performance in construction, Unpublished PhD Thesis, , Concordia University (Canada).
El-Rayes, K A (1998) Optimized scheduling for repetitive construction projects, Unpublished PhD Thesis, , Concordia University (Canada).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(2001) CPDICenter: Web-based virtual construction project document information center in support of claims preparation, Unpublished PhD Thesis, , Concordia University (Canada).
Hassanein, A (2003) Planning and scheduling highway construction using GIS and dynamic programming, Unpublished PhD Thesis, , Concordia University (Canada).
Hegazy, T M (1994) Integrated bid preparation with emphases on risk assessment using neural networks, Unpublished PhD Thesis, , Concordia University (Canada).
- Type: Thesis
- Keywords: competition; competitiveness; duration; effectiveness; failure; market; market condition; uncertainty; indirect cost; automation; bidding; business failure; cost control; cost estimation; estimating; integration; learning; scheduling; neural network; prob
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/304139938
- Abstract:
Construction estimating works as the basis for various strategic decisions regarding the preparation of bid proposals, procurement plans, various levels of schedules, and job cost control. Under the highly risky environment of the prevalent competitive bidding practice, preparation of realistic estimates pertaining to those management decisions has been a complex task that is often performed on an ad hoc and piecemeal manner. Conventional procedures and tools have proved inadequate to provide a structured decision aid that, under such environment, maximizes the contractor's chances of winning a job with maximum potential profit, and further generates practical baseline plans needed for job control to maintain this profit. Yet the situation has been translated into a high percentage of business failures, a high potential for claims, and at best a low profit margin in the industry. This research presents a methodology for an integrated cost estimation and bid preparation, with emphasis on the assessment of bidding risks and optimum markup estimation. The methodology utilizes available tools (algorithms, database management systems, and Al-based techniques) that can benefit from current industry practice and provide an adequate decision aid during bid preparation. The methodology facilitates integration among estimating, planning and scheduling, and bid unbalancing. It incorporates enhancements to the various functions that cover the quantitative aspects of an estimate including: direct and indirect cost estimation, planning and scheduling, and resource utilization. This enables detailed estimates of costs and durations to be generated for all the project tasks, with minimal redundancy and in less time. Such estimates also establish the baselines needed for efficient job control. For practicality, the methodology accounts for the qualitative (risk-related) factors that play a vital role in the preparation of competitive bid proposals (e.g., competition, market conditions, and contractor keenness for the job). The methodology utilizes Neural Networks, an Al-based technique that employs a learning mechanism and emulates the human ability to solve pattern recognition tasks similar to many problems encountered in construction. This technique is introduced as a new tool to the industry, incorporating several potential applications. A neural network model is designed and used to arrive at an optimum markup value that maximizes that contractor's potential profit and predicts the probability of winning the job at such level of profit, in response to the project risk pattern. The methodology then utilizes the data obtained through the detailed estimate to optimally unbalance the final bid, in an effort to improve the contractor's cash flow while maintaining his competitiveness. A PC-based prototype is developed to automate the bid preparation process and an example application is presented in order to demonstrate the effectiveness and practicality of the proposed methodology. The proposed integrated methodology contributes to current automation efforts in construction and its modular architecture allows for further enhancement and expansions. The developments made with respect to the markup estimation problem demonstrates the powerful capabilities of neural networks and the potential benefits of deriving analogy-based solutions to complicated construction problems that are characterized by high uncertainty. This approach could readily be utilized in other domains in construction management where solutions are based primarily on holistic analogy and traditional algorithmic solutions are inadequate.
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).