Luis Fernando Alarcón, Claudio Mourgues, Cesar O’Ryan, Martin Fischer
Designing a Benchmarking Platform to Select VDC/BIM Implementation Strategies
Abstract: Recent VDC/BIM use surveys in the AEC industry and studies on implementation cases and models have provided insight into the adoption patterns of VDC/BIM methods. They have also shown the need for more systematic tools to identify the best implementation strategies that lead to improved performance at project and company levels. At the same time, the growing number of companies and projects implementing VDC/BIM presents an interesting benchmarking opportunity.This study is an initial step in the formulation of a benchmarking methodology to support AEC companies in the selection of VDC/BIM implementation strategies. Using empirical information obtained from surveys, the methodology will assess how and how much VDC/BIM implementation strategies impact processes and results of companies and projects. We explored three mathematical methods to understand and communicate the relation between strategies, processes and outcomes: Data Envelopment Analysis, Factor Analysis and Structural Equation Modeling. The first method describes the efficiency of various implementation strategies to produce certain impacts on processes and outcomes. The factor analysis methodology reduces the strategy information into unobservable variables (factors) that are used in the last method to describe and quantify the impacts of each of the implementation factors. This paper describes the potential of these three mathematical methods and describes the general design of the benchmarking platform.
Keywords: VDC, BIM, Implementation Strategies, Benchmarking
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Ryan T. Schnalzer, Mahmoud Reda Taha, Molly McCuskey, Stephen C. Quintana and Jimmy Camp
Identifying Bridge Performance Patterns In A Bridge Inventory Database
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