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Edwards, D J, Holt, G D and Harris, F C (2000) Estimating life cycle plant maintenance costs. Construction Management and Economics, 18(04), 427-35.

Lingard, H, Graham, P and Smithers, G (2000) Employee perceptions of the solid waste management system operating in a large Australian contracting organization: implications for company policy implementation. Construction Management and Economics, 18(04), 383-93.

Loosemore, M, Nguyen, B T and Denis, N (2000) An investigation into the merits of encouraging conflict in the construction industry. Construction Management and Economics, 18(04), 447-56.

Love, P E D and Li, H (2000) Quantifying the causes and costs of rework in construction. Construction Management and Economics, 18(04), 479-90.

Manavazhi, M R (2000) Hybrid modelling framework for synthesizing virtual structures. Construction Management and Economics, 18(04), 415-26.

Ranasinghe, M (2000) Impact of correlation and induced correlation on the estimation of project cost of buildings. Construction Management and Economics, 18(04), 395-406.

Shapira, A and Goldfinger, D (2000) Work-input model for assembly and disassembly of high shoring towers. Construction Management and Economics, 18(04), 467-77.

Tah, J H M and Carr, V (2000) A proposal for construction project risk assessment using fuzzy logic. Construction Management and Economics, 18(04), 491-500.

  • Type: Journal Article
  • Keywords: common language; fuzzy logic; project performance; qualitative risk assessment
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190050024905
  • Abstract:

    The construction industry is plagued by risk and often has suffered poor performance as a result. There are a number of risk management techniques available to help alleviate this, but usually these are based on operational research techniques developed in the 1960s, and for the most part have failed to meet the needs of project managers. In this paper, a hierarchical risk breakdown structure representation is used to develop a formal model for qualitative risk assessment. A common language for describing risks is presented which includes terms for quantifying likelihoods and impacts so as to achieve consistent quantification. The relationships between risk factors, risks and their consequences are represented on cause and effect diagrams. These diagrams and the concepts of fuzzy association and fuzzy composition are applied to identify relationships between risk sources and the consequences for project performance measures. A methodology for evaluating the risk exposure, considering the consequences in terms of time, cost, quality, and safety performance measures of a project based on fuzzy estimates of the risk components is presented.

Tam, C M, Deng, Z M, Zeng, S X and Ho, C S (2000) Quest for continuous quality improvement for public housing construction in Hong Kong. Construction Management and Economics, 18(04), 437-46.

Wanous, M, Boussabaine, A H and Lewis, J (2000) To bid or not to bid: a parametric solution. Construction Management and Economics, 18(04), 457-66.

Wong, E T T, Norman, G and Flanagan, R (2000) A fuzzy stochastic technique for project selection. Construction Management and Economics, 18(04), 407-14.