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


Autoria(s): Robinson, S.; Alifantis, T.; Edwards, J.S.; Ladbrook, J.; Waller, A.
Data(s)

01/08/2005

Resumo

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.

Formato

application/pdf

Identificador

http://eprints.aston.ac.uk/2873/1/Knowledge_based_improvement.pdf

Robinson, S.; Alifantis, T.; Edwards, J.S.; Ladbrook, J. and Waller, A. (2005). Knowledge based improvement:simulation and artificial intelligence for identifying and improving human decision-making in an operations systems. Journal of the Operational Research Society, 56 (8), pp. 912-921.

Relação

http://eprints.aston.ac.uk/2873/

Tipo

Article

PeerReviewed