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. © 2005 Operational Research Society Ltd. All rights reserved.
CITATION STYLE
Robinson, S., Alifantis, T., Edwards, J. S., Ladbrook, J., & Waller, A. (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), 912–921. https://doi.org/10.1057/palgrave.jors.2601915
Mendeley helps you to discover research relevant for your work.