Modelling and improving human decision making with simulation

Stewart Robinson, Thanos Alifantis, Robert Hurrion, John Edwards, John Ladbrook, Tony Waller

Research output: Chapter in Book/Published conference outputConference publication


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
Original languageEnglish
Title of host publicationProceedings of the Winter Simulation Conference, 2001
EditorsBrett A. Peters, Jeffrey S. Smith, D.J. Medeiros, Matt W. Rohrer
Number of pages8
ISBN (Print)0-7803-7307-3
Publication statusPublished - 2001
EventWinter Simulation Conference 2001 - Arlington, VA, United States
Duration: 9 Dec 200112 Dec 2001


ConferenceWinter Simulation Conference 2001
Country/TerritoryUnited States
CityArlington, VA


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