Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system

Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system

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Article ID: iaor20062395
Country: United Kingdom
Volume: 56
Issue: 8
Start Page Number: 912
End Page Number: 921
Publication Date: Aug 2005
Journal: Journal of the Operational Research Society
Authors: , , , ,
Keywords: simulation, artificial intelligence, knowledge management
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.

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