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Aniekwu, A N and Okpala, D C (1988) Contractual arrangement and the performance of the Nigerian construction industry (the structural component). Construction Management and Economics, 6(01), 3-11.

McFillen, J M and Maloney, W F (1988) New answers and new questions in construction worker motivation. Construction Management and Economics, 6(01), 35-48.

Ofori, G (1988) Construction industry and economic growth in Singapore. Construction Management and Economics, 6(01), 57-70.

Potts, K F (1988) An alternative payment system for major 'fast track' construction projects. Construction Management and Economics, 6(01), 25-33.

Runeson, G (1988) Methodology and method for price-level forecasting in the building industry. Construction Management and Economics, 6(01), 49-55.

Skitmore, M R and Marsden, D E (1988) Which procurement system? Towards a universal procurement selection technique. Construction Management and Economics, 6(01), 71-89.

Tucker, S N (1988) A single alternative formula for Department of Health and Social Security S-curves. Construction Management and Economics, 6(01), 13-23.

  • Type: Journal Article
  • Keywords: cost; cost planning; mathematical model; quantity surveying
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446198800000003
  • Abstract:

    The formula most commonly used in the United Kingdom for prediction of cash-flows during construction of a building is that published by the Department of Health and Social Security (DHSS). The one empirical formula for the S-curve requires a series of parameters to be used for different contract costs. From a reliability theory approach, an alternative mathematical form, which includes the Weibull function, has been proposed as the basis for the S-curves. This paper demonstrates that not only can the Weibull functions be used as an excellent alternative to the DHSS formula but also that the Weibull function overcomes some of the limitations of the original formula. Relationships between the Weibull parameter values for each of the fits to the set of DHSS curves are derived empirically so that one single formula with a total of seven parameters replaces the DHSS formula and its associated tables for different project costs.