Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28300
Title: A process approach in measuring quality costs of construction projects : model development
Authors: Aoieong, RT
Tang, SL
Ahmed, SM
Keywords: Construction
Process cost model
Quality costs
Quality management
TQM
Issue Date: 2002
Publisher: Routledge, Taylor & Francis Group
Source: Construction management and economics, 2002, v. 20, no. 2, p. 179-192 How to cite?
Journal: Construction management and economics 
Abstract: One of the most effective tools for evaluating the success of a quality management programme is the measurement of quality costs (prevention, appraisal and failure costs). The application of the concept of quality costs originated in the manufacturing industry in the early 1950s. As increasing attention has been given to improving the overall quality in the construction process since the early 1980s, the application of total quality management (TQM) practices in the construction industry has gained much popularity. A systematic approach is needed for measuring quality costs, especially in the construction industry, due to the great number and complexity of activities involved in a typical project. This paper describes how a simple methodology can be used to capture quality costs in construction projects. Pre-existing models for capturing construction quality costs, by Davis, by Abdul-Rahman, by Low and Yeo and by others, recognize quality cost components but do not address the causes or sources of unwanted deviations. This paper proposes an alternative approach, based on the process cost model and in conformance with BS6143 (1992), which is thought to better facilitate the fundamental goal of TQM, i.e. continual process improvement. A number of professionals involved in construction quality management were interviewed and responded favourably to the practicality of the proposed framework in the construction context.
URI: http://hdl.handle.net/10397/28300
ISSN: 0144-6193
EISSN: 1466-433X
DOI: 10.1080/01446190110109157
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