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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/10208

Title: Knowledge-based improvement: simulation and artificial intelligence for identifying and improving human decision-making in an operations system
Authors: Robinson, Stewart
Alifantis, Thanos
Edwards, John S.
Ladbrook, John
Waller, Anthony
Keywords: Simulation
Artificial intelligence
Human decision-making
Knowledge elicitation
Expert system
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
DOI: 10.1057/palgrave.jors.2601915
URI: https://dspace.lboro.ac.uk/2134/10208
Publisher Link: http://dx.doi.org/10.1057/palgrave.jors.2601915
ISSN: 0160-5682
Appears in Collections:Published Articles (Business School)

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