Using Multivariable Linear Regression Technique for Modeling Productivity Construction in Iraq

Productivity is a very important element in the process of construction project management especially with regard to the estimation of the duration of the construction activities, this study aims at developing construction productivity estimating model for marble finishing works of floors using Multivariable Linear Regression technique (MLR). The model was developed based on 100 set of data collected in Iraq for different types of projects such as residential, commercial and educational projects. Which these are used in developing the model and evaluating its performance. Ten influencing factors are utilized for productivity forecasting by MLR model, and they include age, experience, number of the assist labor, height of the floor, size of the marbles tiles, security conditions, health status for the work team, weather conditions, site condition, and availability of construction materials. One model was built for the prediction of the productivity of marble finishing works for floors. It was found that MLR have the ability to predict the productivity for finishing works with excellent degree of accuracy of the coefficient of correlation (R) 90.6%, and average accuracy percentage of 96.3%. This indicates that the relationship between the independent and independent variables of the developed models is good and the predicted values from a forecast model fit with the real-life data.

[1]  Robert D. Logcher,et al.  Management Impacts on Labor Productivity , 1978 .

[2]  Rita J. Maurice,et al.  Introduction to Modern Statistics. , 1957 .

[3]  William Ibbs,et al.  Impact of Change's Timing on Labor Productivity , 2005 .

[4]  H. Randolph Thomas,et al.  Factor Model of Construction Productivity , 1987 .

[5]  Awad S. Hanna,et al.  Impact of Overmanning on Mechanical and Sheet Metal Labor Productivity , 2007 .

[6]  H. Randolph Thomas,et al.  LEARNING CURVE MODELS OF CONSTRUCTION PRODUCTIVITY , 1986 .

[7]  H. Randolph Thomas,et al.  Impact of Material Management on Productivity—A Case Study , 1989 .

[8]  William Ibbs,et al.  Improved Measured Mile Analysis Technique , 2005 .

[9]  Faiq Mohammed,et al.  DEVELOPMENT OF THE CONSTRUCTION PRODUCTIVITY ESTIMATION MODEL USING ARTIFICIAL NEURAL NETWORK FOR FINISHING WORKS FOR FLOORS WITH MARBLE , 2012 .

[10]  Serdar Ulubeyli,et al.  A different approach to construction labour in Turkey: comparative productivity analysis , 2004 .

[11]  John D. Borcherding,et al.  Improving Productivity in Industrial Construction , 1976 .

[12]  Donald C. Taylor,et al.  Hierarchy Model of Construction Productivity , 1981 .

[13]  Abdulaziz M. Jarkas.  Critical Investigation into the Applicability of the Learning Curve Theory to Rebar Fixing Labor Productivity , 2010 .

[14]  Jeffrey S. Russell,et al.  Impact of change orders on labor efficiency for electrical construction , 1999 .

[15]  Eric R. Ziegel,et al.  Applied Statistics for Engineers and Physical Scientists , 1992 .

[16]  Simon Smith,et al.  Earthmoving productivity estimation using linear regression techniques , 1999 .

[17]  H. W. Parker,et al.  Productivity improvement in construction , 1988 .

[18]  C. William Ibbs.  Quantitative Impacts of Project Change: Size Issues , 1997 .

[19]  Onur Behzat Tokdemir,et al.  Effect of learning on line-of-balance scheduling , 2001 .

[20]  José M. Cardoso Teixeira,et al.  Using linear model for learning curve effect on highrise floor construction , 2005 .

[21]  Long D. Nguyen,et al.  Case Law and Variations in Cumulative Impact Productivity Claims , 2010 .

[22]  David R. Riley,et al.  Loss of Labor Productivity due to Delivery Methods and Weather , 1999 .

[23]  F. J. Drewin.  Construction productivity: Measurement and improvement through work study , 1982 .

[24]  Simaan M. AbouRizk,et al.  NEURAL NETWORK MODEL FOR ESTIMATING CONSTRUCTION PRODUCTIVITY , 1997 .

[25]  Ivica Završki,et al.  Construction baseline productivity: Theory and practice , 1999 .

[26]  James E. Rowings,et al.  Construction Labor Productivity Modeling with Neural Networks , 1998 .

[27]  William F. Maloney.  Productivity Improvement: The Influence of Labor , 1983 .

[28]  R. Malcolm W. Horner,et al.  Modeling Construction Labor Productivity , 1990 .

[29]  Gary David Holt,et al.  A comparative evaluation of planning engineers' formwork productivity rates in European construction , 1998 .

[30]  John D. Borcherding,et al.  Improving Motivation and Productivity on Large Projects , 1980 .

[31]  John G. Everett,et al.  Learning Curve Predictors for Construction Field Operations , 1994 .

[32]  Abdulaziz M. Jarkas,et al.  Revisiting the applicability of learning curve theory to formwork labour productivity , 2011 .

[33]  John Christian,et al.  Effects of Delay Times on Production Rates in Construction , 1995 .

[34]  Margaret Emsley,et al.  Critical Factors Influencing Construction Productivity in Thailand , 2002 .