KnowledgeBasedImprovement.pdf (207.3 kB)
Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
journal contribution
posted on 2012-08-03, 10:18 authored by Stewart Robinson, Thanos Alifantis, John S. Edwards, John Ladbrook, Anthony WallerThe 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.
History
School
- Business and Economics
Department
- Business
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.Publisher
Palgrave Macmillan © Operational Research SocietyVersion
- AM (Accepted Manuscript)
Publication date
2005Notes
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.2601915ISSN
0160-5682eISSN
1476-9360Publisher version
Language
- en