Research shows that over 90% of the jobs have to deal with labor overruns at the completion of the project. Most of the time the project managers blame the estimates to be wrong and missing items as the cause of the overruns. The data analysis from hundreds of jobs does not agree with this assessment. Lack of correct measurement of the labor performance by cost-code is a stronger player and contributor to the outcome of the projects.
To avoid labor overruns, improve the hit ratios and estimation accuracy three sources of data should be collected and analyzed. Hit ratios and accuracy of estimation can be improved by the application of a unique data-mining method and statistical process control. Using the historical data from accounting, estimating, project managers and job tracking, the contractor’s owners and estimators can improve their estimation accuracy cost code by cost code and increase the predictability of their estimated labor units per job and avoid the labor overruns. Identifying and categorizing the reasons for missing items on the estimates will help avoid repeating the same mistakes.
Following this course, participants will be able to:
• Analyze estimation, counting and job tracking data
• Apply statistics for contractors
• Discuss the methodology for interpretation of data
• Categorize and eliminate reasons for estimating misses