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Öz, Ö (2001) Sources of competitive advantage of Turkish construction companies in international markets. Construction Management and Economics, 19(02), 135-44.

Han, S S and Ofori, G (2001) Construction industry in China's regional economy, 1990-1998. Construction Management and Economics, 19(02), 189-205.

Lam, K C, Hu, T, Ng, S T, Skitmore, M R and Cheung, S O (2001) A fuzzy neural network approach for contractor prequalification. Construction Management and Economics, 19(02), 175-88.

Lingard, H and Holmes, N (2001) Understandings of occupational health and safety risk control in small business construction firms: barriers to implementing technological controls. Construction Management and Economics, 19(02), 217-26.

Ng, S T, Mak, M M Y, Skitmore, M R, Lam, K C and Varnam, M (2001) The predictive ability of Bromilow's time-cost model. Construction Management and Economics, 19(02), 165-73.

Ofori, G and Lean, C S (2001) Factors influencing development of construction enterprises in Singapore. Construction Management and Economics, 19(02), 145-54.

Raftery, J, Csete, J and Hui, S K-F (2001) Are risk attitudes robust? Qualitative evidence before and after a business cycle inflection. Construction Management and Economics, 19(02), 155-64.

Sözen, Z and Kayahan, O (2001) Correlates of the length of the relationship between main and specialist trade contractors in the construction industry. Construction Management and Economics, 19(02), 131-3.

Sawhney, A and Mund, A (2001) IntelliCranes: an integrated crane type and model selection system. Construction Management and Economics, 19(02), 227-37.

  • Type: Journal Article
  • Keywords: adaptive probabilistic neural networks; crane selection; expert systems; hoisting; lifting; neural networks;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190010008079
  • Abstract:

    The importance of the utilization of cranes in construction operations has resulted in the development of structured methods for crane selection. Most of these methods are for crane model selection and require the user to stipulate the type of crane to be used for the construction operation under consideration. Availability of a structured method for crane type selection will greatly benefit the overall crane selection process. This paper describes a prototype integrated crane selection tool, called IntelliCranes, designed to assist in both crane type and crane model selection. The key feature of IntelliCranes is the systematic incorporation of subjective and qualitative criteria in crane type and model selection.

Tam, C M, Tong, T K L, Cheung, S O and Chan, A P C (2001) Genetic algorithm model in optimizing the use of labour. Construction Management and Economics, 19(02), 207-15.