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Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
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UNSPECIFIED (2005) Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 56 (8). pp. 912-921. doi:10.1057/palgrave.jors.2601915 ISSN 0160-5682.
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Official URL: http://dx.doi.org/10.1057/palgrave.jors.2601915
Abstract
The performance of most operations systems is significantly affected by the interaction of human decision-makers. A methodology, based on the use of visual interactive simulation (VIS) and artificial intelligence (AI), is described that aims to identify and improve human decision-making in operations systems. The methodology, known as 'knowledge-based improvement' (KBI), elicits knowledge from a decision-maker via a VIS and then uses AI methods to represent decision-making. By linking the VIS and AI representation, it is possible to predict the performance of the operations system under different decision-making strategies and to search for improved strategies. The KBI methodology is applied to the decision-making surrounding unplanned maintenance operations at a Ford Motor Company engine assembly plant.
Item Type: | Journal Article | ||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management | ||||
Journal or Publication Title: | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | ||||
Publisher: | PALGRAVE PUBLISHERS LTD | ||||
ISSN: | 0160-5682 | ||||
Official Date: | August 2005 | ||||
Dates: |
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Volume: | 56 | ||||
Number: | 8 | ||||
Number of Pages: | 10 | ||||
Page Range: | pp. 912-921 | ||||
DOI: | 10.1057/palgrave.jors.2601915 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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