Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
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.
Year of publication: |
2005-08
|
---|---|
Publisher: |
PALGRAVE PUBLISHERS LTD |
Subject: | Management. Industrial Management |
Saved in:
freely available
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