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H. Randolph Thomas, Karl A. 'Raynar, Effects of Scheduled Overtime on Labor productivity: A Quantitative Analysis', Source Document 98, Construction Industry Institute, Austin, Texas, 1994
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2 |
Jason Portas and Simaan AbouRizk, Neural Network Model for Estimating Construction Productivity, Journal of Construction Engineering and Management, Vol. 123, No. 4, December 1997, pp. 399-410,1997
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3 |
John Christian and Daniel Hachey, Effects of Delay Times on Production Rates in Construction, Journal of Construction Engineering and Management, Vol. 121, No.1, pp. 20-26, 1995
DOI
ScienceOn
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4 |
Kim Yea-Sang et al., A study on the improvement construction work efficiency by work sampling technique, Journal of Architectural Institute of Korea Vol.105, pp233-241, 1977
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5 |
Thomas, H. R., and Daily, J., Crew Performance Measurement via Activity Sampling, Journal of Construction Engineering and Management, Vol. 109, No. 3, pp. 309-320, 1983
DOI
ScienceOn
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Tucker, L.R., Management of construction productivity, Journal of Management on Engineering, ASCE, Vo. 2, No. 3, pp. 148-156, 1986
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7 |
H. Randolph Thomas et al., Modeling Construction Labor Productivity, Journal of Construction Engineering and Management, Vol. 116, No. 4, December 1990, pp. 705-726, 1990
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8 |
Richard L.Tucker and John D. Borcherding et al., The Super Bee Project, Report to the Motivation Committee', Conoco/Monsanto Joint Venture and Brown and Root, Inc. Alvin, Texas, 1980
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Simon D. Smith, Earthmoving Productivity Estimation Using Linear Regression Techniques, Journal of Construction Engineering and Management, Vol. 125, No. 3, pp. 133-141, 1999
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Harris, F. and McCaffer, R., 'Modern Construction Management', BSP Professional Books, Osney Mead, Oxford, England, 1989
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Ming Lu, S.M. AbouRizk, and Ulrich H. Hermann, Estimating Labor Productivity Using Probability Inference Neural Network, Journal of Computing in Civil Engineering, Vol. 14, No.4, pp. 241-248, 2000
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ScienceOn
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Thomas, H. R. and Donald F. Kramer, 'The Manual of Construction Productivity Measurement and Performance Evaluation', Source Document 35, Construction Industry Institute, Austin, Texas, USA, 1988
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Liou, F. W., and Borcherding, J.D., Work sampling can predict unit rate productivity,Journal of Construction Engineering and Management, Vol. 112, No. 1, pp. 90-103, 1986
DOI
ScienceOn
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Tucker, L.R. and Rogge D.F., et al., Implementation of foreman-delay surveys, Journal of the Construction Division, ASCE, Vol.108, No.4, pp. 577-591, 1982
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15 |
Thomas, H. R., Mathews, C.T., and Ward, J. G., Learning Curves Models of construction productivity, Journal of Construction Engineering and Management, Vol. 122, No. 2, pp. 245-258, 1986
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Albright et al, 'Data Analysis and Decision Making' , 2nd edition, Thomas Learning, Inc., CA, USA, 2003
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17 |
Chao, L. C., and Skibniewski, M. J., Estimating construction productivity: Neural-network-based approach, Journal of. Computing. in Civil Engineering, Vol. 8, No. 2, 234-251, 1994
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'RS Means Heavy Construction Cost Data', 16th Annual Edition, RS Means, USA, 2002
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H. Randolph Thomas et al., Games People Play with Work Sampling, Journal of Construction Engineering and Management, Vol. 108, No.COI, March, pp.13-22, 1982
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