Chen, Z; Abdullah, A B; Anumba, C J and Li, H (2014) Anp experiment for demolition plan evaluation. Journal of Construction Engineering and Management, 140(2): 06013005, ISSN 0733-9364
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | analytical techniques; assessments; decision making; demolition; environmental issues; project planning and design |
| Index terms: | interaction, experiment, environmental issue, effectiveness, analytic network process, plan evaluation, case study, project planning, decision-making |
| Subjects: | environmental issues, decision analysis, data collection methods, performance management, control systems, behavioral psychology, operations management, decision-making and optimization |
| Topics: | Sustainability, Research Practice, Risk Management, Quality Management, Project Management |
| Descriptive scope: | 4 PCEA |
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