Anthony Gonzales Discusses Baseline Schedule Metrics at the 2014 AACE International Annual Meeting
Anthony Gonzales, Principal of Spire Consulting Group, presented at the AACE International 2014 Annual Meeting in New Orleans, LA, at the Sheraton New Orleans Hotel on Tuesday, June 17, 2014.
Mr. Gonzales and Jin Ouk Choi from The University of Texas at Austin discussed the “Evaluation of Baseline Schedule Metrics for Successful Project Schedule Performance.”
The presentation was based upon the paper they developed which addresses the correlation between current Industry Metrics and developing a reasonable schedule. During the presentation, they presented their findings after conducting an evaluation of 27 current industry standard metrics against eight completed project case studies within the commercial and university building sectors.
Please see below for the complete abstract.
The development of a reasonable baseline schedule is a challenge for some construction professionals. Some construction projects experience schedule impacts or delays as a result of fatally flawed baseline schedules that produce an unreasonable forecasted completion. Accordingly, some organizations, public entities, private firms, software companies and consultants have developed checklists or guidelines for evaluating the mechanics of baseline schedules to improve the likelihood of forecasting a reasonable completion date. However, these guidelines have yet to be substantiated.
The purpose of this paper is to identify and evaluate a list of industry-recognized metrics to determine whether a schedule is fatally flawed or suggests a reasonable forecast. Accordingly, this paper addresses the correlation between current Industry Metrics and developing a reasonable schedule. The findings are addressed after evaluating 27 current Industry Metrics against eight completed case projects within the commercial and university building sectors. The case projects are divided into two groups based on amount of delay. The analysis results show that between two groups there exist significant baseline schedule quality differences.