Abstracts – Browse Results
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Ahmed, S M, Ahmad, R and Saram, D D D (1999) Risk management trends in the Hong Kong construction industry: a comparison of contractors and owners perceptions. Engineering, Construction and Architectural Management, 6(03), 225–34.
Boussabaine, A H, Thomas, R and Elhag, T M S (1999) Modelling cost-flow forecasting for water pipeline projects using neural networks. Engineering, Construction and Architectural Management, 6(03), 213–24.
Dissanayaka, S M and Kumaraswamy, M M (1999) Evaluation of factors affecting time and cost performance in Hong Kong building projects. Engineering, Construction and Architectural Management, 6(03), 287–98.
Gunner, J and Skitmore, M R (1999) Pre-bid building price forecasting accuracy: price intensity theory. Engineering, Construction and Architectural Management, 6(03), 267–75.
Jaafari, A and Manivong, K (1999) The need for life-cycle integration of project processes. Engineering, Construction and Architectural Management, 6(03), 235–55.
Kaka, A P (1999) The development of a benchmark model that uses historical data for monitoring the progress of current construction projects. Engineering, Construction and Architectural Management, 6(03), 256–66.
- Type: Journal Article
- Keywords: benchmarking; cost flow; duration control; expenditure; stochastic model
- ISBN/ISSN: 0969-9988
- URL: http://www.blackwell-synergy.com/links/doi/10.1046/j.1365-232x.1999.00112.x/abs
- Abstract:
Conventional methods of project duration control primarily rely on comparing contracts programs with actual progress. Detailed barcharts are often produced and progress is measured and recorded for monitoring by site based practitioners. Head office managers that are responsible for a group or groups of contracts running simultaneously depend on the reports generated on site for their control mechanism. There are many drawbacks in relying solely on site based reports, including concerns about accuracy, misrepresentation of facts, competence of site based staff, time taken to interpret these reports, etc. This paper develops and proposes the use of a new system that can be used as an additional tool whereby significant discrepancies in projects' progress performance can be highlighted. The system is based on stochastic models developed to simulate the cost commitment curves of traditional construction projects. The paper describes how the system is developed and how it can be used. The system has been developed as part of a pilot study to validate its usefulness in principle. Hence the factors used to distinguish projects characteristics were only based on broad terms. It is hoped that an improved model would be developed when more variables are considered and incorporated.
Kartam, N A (1999) Design/construction integration: issues and illustrative prototype. Engineering, Construction and Architectural Management, 6(03), 299–314.
Khosrowshahi, F (1999) Neural network model for contractors' pre-qualification for local authority projects. Engineering, Construction and Architectural Management, 6(03), 315–28.
Pasquire, C (1999) The implications of environmental issues on UK construction management. Engineering, Construction and Architectural Management, 6(03), 276–86.