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contributor authorI. D. Tommelein
contributor authorR. E. Levitt
contributor authorB. Hayes‐Roth
date accessioned2017-05-08T21:46:32Z
date available2017-05-08T21:46:32Z
date copyrightSeptember 1992
date issued1992
identifier other%28asce%290733-9364%281992%29118%3A3%28594%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/61952
description abstractUsing the site‐layout task as an example to compare existing practices and tools used in industry and research environments, this paper puts artificial intelligence (AI) modeling techniques in perspective. The site‐layout task is characterized, field practice is described, and a thorough review of available tools for layout product modeling (including physical models and computer‐aided design tools) and process modeling (using AI as well as operations research methods) is presented. A rationale is provided for why many such tools have failed to gain widespread use in the construction industry. Comparing the capabilities as well as the data and knowledge needs of computer programs with those of construction practitioners reveals a large discrepancy, which is also apparent when fitting the layout literature in a comprehensive table. This paper argues that AI‐based systems can reduce this discrepancy by better matching model capabilities with industry needs, and, therefore, suggests that such models will become valuable decision‐support tools for construction management.
publisherAmerican Society of Civil Engineers
titleSite‐Layout Modeling: How Can Artificial Intelligence Help?
typeJournal Paper
journal volume118
journal issue3
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)0733-9364(1992)118:3(594)
treeJournal of Construction Engineering and Management:;1992:;Volume ( 118 ):;issue: 003
contenttypeFulltext


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