Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
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. ISSN 0160-5682Full text not available from this repository.
Official URL: http://dx.doi.org/10.1057/palgrave.jors.2601915
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|
|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|
|Official Date:||August 2005|
|Number of Pages:||10|
|Page Range:||pp. 912-921|
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