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Clarke, L and Herrmann, G (2004) Cost vs. production: disparities in social housing construction in Britain and Germany. Construction Management and Economics, 22(05), 521-32.

Gil, N, Tommelein, I D and Ballard, G (2004) Theoretical comparison of alternative delivery systems for projects in unpredictable environments. Construction Management and Economics, 22(05), 495-508.

  • Type: Journal Article
  • Keywords: Specialty contractor; simulation; change; postponement; facility delivery compression
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190310001649100
  • Abstract:

    A project delivery process simulation is presented based upon empirical studies in the design-build environment of semiconductor fabrication facilities (’fabs’). The model captures key tasks and decisions in design, procurement and construction, as well as design criteria changes along the delivery of a R&D fab utility system. Simulation shows that to involve the specialty contractor from the project start on average expedites project delivery since it prevents delays caused by bidding and by contractors’ unfamiliarity with the design product definition. Yet, in unpredictable project environments - environments in which design criteria are likely to change irrespectively of the project progress status - simulation reveals that the averages of construction rework and waste increase if design is prematurely frozen. Assuming that work methods do not change and design criteria remain uncertain, results indicate that a system that combines early contractor involvement with judicious postponement of the design start reduces the average duration of the fab utility delivery in relation to the expected duration if competitive bidding was used, with limited increase in the averages of construction rework and waste. Additional efficiency is gained when specialty contractors relax conservative assumptions on anticipated site conditions. An economic model uses simulation results to assess the tradeoffs between alternative project delivery systems for the case of R&D fabs.

Lewis, T M (2004) The construction industry in the economy of Trinidad & Tobago. Construction Management and Economics, 22(05), 541-9.

Miller, C J M, Packham, G A, Pickernell, D G and Mcgovern, M (2004) Building for the future: the potential importance of the construction industry in Welsh economic development policy. Construction Management and Economics, 22(05), 533-40.

Ng, F P and Björnsson, H C (2004) Using real option and decision analysis to evaluate investments in the architecture, construction and engineering industry. Construction Management and Economics, 22(05), 471-82.

Ng, S T, Cheung, S-O, Skitmore, M and Wong, T C Y (2004) An integrated regression analysis and time series model for construction tender price index forecasting. Construction Management and Economics, 22(05), 483-93.

Phua, F T T (2004) Modelling the determinants of multi-firm project success: a grounded exploration of differing participant perspectives. Construction Management and Economics, 22(05), 451-9.

Poon, C S, Yu, A T W and Jaillon, L (2004) Reducing building waste at construction sites in Hong Kong. Construction Management and Economics, 22(05), 461-70.

Wu, C-H, Hsieh, T-Y, Cheng, W-L and Lu, S-T (2004) Grey relation analysis of causes for change orders in highway construction. Construction Management and Economics, 22(05), 509-20.