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|Title: ||Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system|
|Authors: ||Robinson, Stewart|
Edwards, John S.
|Issue Date: ||2005|
|Publisher: ||Palgrave Macmillan © Operational Research Society|
|Citation: ||ROBINSON, S. ... et al., 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.|
|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.|
|Description: ||This article was published in the Journal of the Operational Research Society [Palgrave Macmillan © OR Society] and the definitive version is available at: http://dx.doi.org/10.1057/palgrave.jors.2601915|
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1057/palgrave.jors.2601915|
|Appears in Collections:||Published Articles (Business School)|
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