Construction Research Congress 2020
Development of a Decision Making Methodology to Optimize the Process of Scope Definition Improvement: A Building Adaptive Reuse Case Study
Publication: Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
ABSTRACT
Effective pre-project planning is critical for maximizing the success of a project. The effectiveness of pre-project planning is directly tied to the completeness of project scope definition. Ideally, the most effective pre-project planning happens when the definition of all project scope elements is refined to a high level of granularity, accuracy, and prescience. This is not always possible however, since scope definition improvement is achieved through auxiliary inspections and experiments to collect additional information, which can be costly. It is also not valuable to improve scope definition for all project scope elements, since expected benefits of this knowledge will not outweigh costs for certain elements. The objective of this paper is to develop a decision making methodology to optimize the process of project scope definition improvement. This methodology is developed based on the concept of value of information, which functions as the metric for investigating whether scope definition improvement is valuable for a given scope element. For cases where scope definition improvement should be made, optimization of required information is explored along with selection of the most valuable information collection option, which provides the optimum required amount of information. This methodology is demonstrated on a building adaptive reuse case study for improving the definition of contamination and hazardous materials (specifically asbestos-containing materials) as a scope element.
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Published In
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
Pages: 330 - 338
Editors: David Grau, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and Mounir El Asmar, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8288-9
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Nov 9, 2020
Published in print: Nov 9, 2020
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