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/Report/Conference proceedingConference publication

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
Original languageEnglish
Title of host publicationProceedings of the Winter Simulation Conference, 2001
EditorsBrett A. Peters, Jeffrey S. Smith, D.J. Medeiros, Matt W. Rohrer
PublisherIEEE
Pages913-920
Number of pages8
Volume2
ISBN (Print)0-7803-7307-3
DOIs
Publication statusPublished - 2001
EventWinter Simulation Conference 2001 - Arlington, VA, United States
Duration: 9 Dec 200112 Dec 2001

Conference

ConferenceWinter Simulation Conference 2001
CountryUnited States
CityArlington, VA
Period9/12/0112/12/01

Fingerprint Dive into the research topics of 'Modelling and improving human decision making with simulation'. Together they form a unique fingerprint.

Cite this