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Au, T and Hendrickson, C (1986) Profit Measures for Construction Projects. Journal of Construction Engineering and Management, 112(02), 273–86.

Haltenhoff, C E (1986) Educating Professional Construction Managers. Journal of Construction Engineering and Management, 112(02), 153–62.

Handa, V K and Barcia, R M (1986) Construction Production Planning. Journal of Construction Engineering and Management, 112(02), 163–77.

Hinze, J and Hinze, M M (1986) Problems Associated with Removal of Asbestos. Journal of Construction Engineering and Management, 112(02), 211–9.

Koehn, E and Brown, G (1986) International Labor Productivity Factors. Journal of Construction Engineering and Management, 112(02), 299–302.

Lemna, G J, Borcherding, J D and Tucker, R L (1986) Productive Foremen in Industrial Construction. Journal of Construction Engineering and Management, 112(02), 192–210.

Liu, X, Chen, W and Bowman, M D (1986) Shore‐Slab Interaction in Concrete Buildings. Journal of Construction Engineering and Management, 112(02), 227–44.

Royer, K (1986) The Federal Government and the Critical Path. Journal of Construction Engineering and Management, 112(02), 220–5.

Tatum, C B (1986) Designing Project Organizations: An Expanded Process. Journal of Construction Engineering and Management, 112(02), 259–72.

Tatum, C B (1986) Potential Mechanisms for Construction Innovation. Journal of Construction Engineering and Management, 112(02), 178–91.

Thomas, H R, Mathews, C T and Ward, J G (1986) Learning Curve Models of Construction Productivity. Journal of Construction Engineering and Management, 112(02), 245–58.

  • Type: Journal Article
  • Keywords: Personnel management; Construction methods; Productivity; Training;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(1986)112:2(245)
  • Abstract:
    Current research into learning curve models of construction productivity is presented. Five mathematical models are identified and each of these are used to model unit rates for 65 sets of data. The correlation between predicted and actual unit rates is determined, and on this basis, it is concluded that the best predictor is a cubic model. The often cited straight‐line model is only marginally adequate. The validity of the straight‐line model is further undermined by showing that the learning rate is not a constant value. Time data for erecting and setting 466 precast concrete floor planks is used to support the conclusion that the straight‐line model is not a reliable model for predicting future performance.

Vombatkere, S G (1986) Bridge Resting on an Ice Body at High Altitude. Journal of Construction Engineering and Management, 112(02), 287–96.