Modelling and improving human decision making with simulation

Authors:
Stewart Robinson;Thanos Alifantis;Robert Hurrion;John Ladbrook;John Edwards;Tony Waller
Affiliations:
University of Warwick, Coventry, CV47AL, UK;University of Warwick, Coventry, CV47AL, UK;University of Warwick, Coventry, CV47AL, UK;Dunton Engineering Centre, (15/4A-F04-D), Laindon, Basildon, Ford Motor Company, Essex, SS15 6EE, UK;Aston University, Birmingham, B47ET, UK;The Oaks, Clews Road, Lanner Group, Redditch, Worcs, B98 7ST, UK
Venue:
Proceedings of the 33nd conference on Winter simulation
Year:
2001

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Abstract

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.