ANP Experiment for Demolition Plan Evaluation
Publication: Journal of Construction Engineering and Management
Volume 140, Issue 2
Abstract
This paper presents an analytic network process (ANP) experiment for demolition plan evaluation. An experimental case study on the Warren Farm Bridge demolition project is used to demonstrate the effectiveness of an ANP model to support finding the most appropriate demolition plan. Alternative plans used in the experiment include plans that utilise deliberate collapse, progressive demolition, and deconstruction. The ANP model adopted the same assessment criteria, which were previously used in an analytic hierarchy process (AHP) model for the same evaluation purpose for the case project, in order to further make a comparison between AHP and ANP models with different evaluation results. Further to the conclusion that ANP is a viable and capable approach to demolition plan evaluation, the experiment provides a notably different result, which matches the demolition plan actually used, on the most appropriate solution for the case project in comparison with the AHP model. This study indicates that further practice oriented research is necessary through case studies and model improvement to further validate ANP’s capability to support reliable decision making with regard to its inherent advantage in measuring interrelationships and interactions among evaluation criteria in a multicriteria decision-making (MCDM) model.
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Acknowledgments
This research was funded by the Centre for Innovative and Collaborative Engineering at Loughborough University, the Research Centre for Construction Innovation at Hong Kong Polytechnic University, and the Civil Engineering Faculty at Universiti Teknologi Malaysia. The Super Decisions software was used in the experiment to build up DEMAN and to derive the result for plan evaluation; it was designed and generously provided by William J. Adams and the Creative Decision Foundation.
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© 2013 American Society of Civil Engineers.
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Received: Jan 5, 2012
Accepted: Aug 22, 2013
Published online: Oct 2, 2013
Published in print: Feb 1, 2014
Discussion open until: Mar 2, 2014
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