| contributor author | I. D. Tommelein | |
| contributor author | R. E. Levitt | |
| contributor author | B. Hayes‐Roth | |
| date accessioned | 2017-05-08T21:46:32Z | |
| date available | 2017-05-08T21:46:32Z | |
| date copyright | September 1992 | |
| date issued | 1992 | |
| identifier other | %28asce%290733-9364%281992%29118%3A3%28594%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/61952 | |
| description abstract | Using 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. | |
| publisher | American Society of Civil Engineers | |
| title | Site‐Layout Modeling: How Can Artificial Intelligence Help? | |
| type | Journal Paper | |
| journal volume | 118 | |
| journal issue | 3 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)0733-9364(1992)118:3(594) | |
| tree | Journal of Construction Engineering and Management:;1992:;Volume ( 118 ):;issue: 003 | |
| contenttype | Fulltext | |