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Alarcón, L F and Bastias, A (2000) A computer environment to support the strategic decision-making process in construction firms. Engineering, Construction and Architectural Management, 7(01), 63–75.

Edwards, D J and Holt, G D (2000) ESTIVATE: a model for calculating excavator productivity and output costs. Engineering, Construction and Architectural Management, 7(01), 52–62.

Huang, R-Y and Halpin, D W (2000) Graphically based LP modelling for linear scheduling analysis: the POLO system. Engineering, Construction and Architectural Management, 7(01), 41–51.

Kamara, J M, Anumba, C J and Evbuomwan, N F O (2000) Establishing and processing client requirements-a key aspect of concurrent engineering in construction. Engineering, Construction and Architectural Management, 7(01), 15–28.

Kumar, V S S, Hanna, A S and Adams, T (2000) Assessment of working capital requirements by fuzzy set theory. Engineering, Construction and Architectural Management, 7(01), 93–103.

  • Type: Journal Article
  • Keywords: fuzzy relation; fuzzy sets; membership function; working capital
  • ISBN/ISSN: 0969-9988
  • URL: http://www.ingentaconnect.com/content/bsc/ecam/2000/00000007/00000001/art00141
  • Abstract:
    The systematic assessment of working capital requirement in construction projects deals with the analysis of various quantitative and qualitative factors in which information is subjective and based on uncertainty. There exists an inherent difficulty in the classical approach to evaluate the impact of qualitative factors for the assessment of working capital requirement. This paper presents a methodology to incorporate linguistic variables into workable mathematical propositions for the assessment of working capital using fuzzy set theory. This article takes into consideration the uncertainty associated with many of the project resource variables and these are reflected satisfactorily in the working capital computations. A case study illustrates the application of the fuzzy set approach. The results of the case study demonstrate the superiority of the fuzzy set approach to classical methods in the assessment of realistic working capital requirements for construction projects.

Li, H, Cheng, E W L and Love, P E D (2000) Partnering research in construction. Engineering, Construction and Architectural Management, 7(01), 76–92.

Loh, W H and Ofori, G (2000) Effect of registration on performance of construction subcontractors in Singapore. Engineering, Construction and Architectural Management, 7(01), 29–40.

Naoum, S and Haidar, A (2000) A hybrid knowledge base system and genetic algorithms for equipment selection. Engineering, Construction and Architectural Management, 7(01), 3–14.