A Target Benchmark of the Impact of Three-Dimensional Parametric Modeling in Precast
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126 PCI JOURNAL Rafael Sacks, Ph.D. Senior Lecturer Faculty of Civil and Environmental Engineering Technion—Israel Institute of Technology Haifa, Israel Leading North American precast/prestressed concrete companies have invested major efforts and resources to spawn the development of intelligent parametric three-dimensional modeling software solutions for their industry. The executive decision to take this course of action was based on the expectation that the technology would provide benefits throughout the precast business process. Initial experience with prototype modeling systems is beginning to confirm earlier expectations regarding productivity gains and error reduction, although adoption of the systems is still in its early stages. This paper enumerates the various direct and indirect benefits that have been identified and assessed to date and provides a conservative set of benchmarks that can be applied as implementation takes place. Some of the benefits have also been evaluated in economic terms, based on current industry benchmarks of productivity and error rates. Based on these assessments, an example of a large precast company’s target evaluation of the economic benefit it expects to derive during the first four years of adoption is presented. Charles M. Eastman Professor of Architecture and Professor of Computing Georgia Institute of Technology Atlanta, Georgia Ghang Lee, Ph.D. Research Scientist College of Architecture Georgia Institute of Technology Atlanta, Georgia David Orndorff, P.E. PCSC Technical Chair and Division Engineering Manager Shockey Precast Group Winchester, Virginia A Target Benchmark of the Impact of Three-Dimensional Parametric Modeling in Precast Construction
A Target Benchmark of the Impact of Three-Dimensional Parametric Modeling in Precast
