Modelling and improving human decision making with simulation

Modelling human interaction and decision-making within a simulation presents a particular challenge. This paper describes a methodology that is being developed known as `knowledge based improvement'. The purpose of this methodology is to elicit decision-making strategies via a simulation model and to represent them using artificial intelligence techniques. Further to this, having identified an individual's decision-making strategy, the methodology aims to look for improvements in decision-making. The methodology is being tested on unplanned maintenance operations at a Ford engine assembly plant.

• Type: Conference
• Year: 2001
• Where: WSC
• Authors: Stewart Robinson, Thanos Alifantis, Robert Hurrion, John Ladbrook, John S. Edwards, Tony Waller
• Keywords: Decision-making, Individual's Decision-making Strategy, Methodology, Modeling And Simulation, WSC 2001