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Boukendour, S and Bah, R (2001) The guaranteed maximum price contract as call option. Construction Management and Economics, 19(06), 563-7.

Dulaimi, M F and Hwa, T F (2001) Developing world class construction companies in Singapore. Construction Management and Economics, 19(06), 591-9.

Haas, C T, Rodriguez, A M, Glover, R and Goodrum, P M (2001) Implementing a multiskilled workforce. Construction Management and Economics, 19(06), 633-41.

Hong, Z, Tam, C M and Shi, J J (2001) Resource allocation heuristic in construction simulation. Construction Management and Economics, 19(06), 643-51.

Kwan, A Y and Ofori, G (2001) Chinese culture and successful implementation of partnering in Singapore's construction industry. Construction Management and Economics, 19(06), 619-32.

Lam, K C, Runesun, G, Ng, S T, Hu, T S, Cheung, S O and Deng, Z M (2001) Capital budget planning practices of building contractors in Hong Kong. Construction Management and Economics, 19(06), 569-76.

Lingard, H (2001) The effect of first aid training on objective safety behaviour in Australian small business. Construction Management and Economics, 19(06), 611-8.

Moore, D R and Dainty, A R J (2001) Intra-team boundaries as inhibitors of performance improvement in UK design and build projects: a call for change. Construction Management and Economics, 19(06), 559-62.

Tong, T K L, Tam, C M and Chan, A P C (2001) Genetic algorithm optimization in building portfolio management. Construction Management and Economics, 19(06), 601-9.

  • Type: Journal Article
  • Keywords: building portfolio management; genetic algorithms; asset replacement
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190110062096
  • Abstract:

    A significant proportion of building investment expenditure goes to replacement expenditure for organizations owning a large building stock or portfolio. Over the years, researchers have attempted to develop asset replacement models to aid decision-making in building portfolio management, based upon a statistical or an heuristic approach. This study attempts to use genetic algorithms to develop models for forecasting long term asset replacement strategies, aiming at smoothing fluctuations of expenditure and resource requirements, and most importantly minimizing the total maintenance and replacement costs. Scenarios are presented to demonstrate how these can be achieved. Further refinement for practical application of the models is also presented.

Winch, G and Carr, B (2001) Benchmarking on site productivity in France and the UK: a CALIBRE approach. Construction Management and Economics, 19(06), 577-90.