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Abdul-Hadi, N, Al-Sudairi, A and Alqahtani, S (2005) Prioritizing barriers to successful business process re-engineering (BPR) efforts in Saudi Arabian construction industry. Construction Management and Economics, 23(03), 305-15.

Chan, S L and Park, M (2005) Project cost estimation using principal component regression. Construction Management and Economics, 23(03), 295-304.

Dainty, A R J, Bryman, A, Price, A D F, Greasley, K, Soetanto, R and King, N (2005) Project affinity: the role of emotional attachment in construction projects. Construction Management and Economics, 23(03), 241i4.

Hsieh, H H Y (2005) The 1990s Taiwan residential construction boom: a supply side interpretation. Construction Management and Economics, 23(03), 265-84.

Koushki, P A, Al-Rashid, K and Kartam, N (2005) Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics, 23(03), 285-94.

Lianyu, C and Tiong, R L K (2005) Minimum feasible tariff model for BOT water supply projects in Malaysia. Construction Management and Economics, 23(03), 255-63.

Spangenberg, S, Hannerz, H and Tüchsen, F (2005) Hospitalized injuries among bridge and tunnel construction workers. Construction Management and Economics, 23(03), 237–40.

Tam, C M, Tong, T K L, Lau, T C T and Chan, K K (2005) Selection of vertical formwork system by probabilistic neural networks models. Construction Management and Economics, 23(03), 245-54.

  • Type: Journal Article
  • Keywords: Formwork selection; PNN; probabilistic neural network
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/0144619042000205912
  • Abstract:

    A good formwork system enables speedy completion of the concrete structure, following which other subsequent trades can be started. However, the current intuitive judgment approach in the selection of formwork systems cannot assure an optimal and consistent result. Artificial neural networks may improve the selection process. Formwork represents a significant part of the cost of concrete structure construction. Most subsequent trades including internal finishing and external cladding depend on the completion of the building structure. A suitable formwork system is thus crucial for maintaining the smooth flow of the various trades and a proper working sequence of various work activities. Based on data collected from a previous study, it is clear that the key factors affecting the selection of a relevant formwork system include building height and structural system, concrete finish, site conditions, availability of equipment and building shape. Neural network models are developed for the selection of vertical formwork systems using the architecture of the probabilistic neural network (PNN) model. A case study verifies the validity of this approach.

Wood, G D and Ellis, R C T (2005) Main contractor experiences of partnering relationships on UK construction projects. Construction Management and Economics, 23(03), 317-25.

Yu, W-D and Lo, S-S (2005) Time-dependent construction social costs model. Construction Management and Economics, 23(03), 327-37.