Modelling and improving human decision making with simulation

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

doi:10.1109/WSC.2001.977393

Modelling and improving human decision making with simulation

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

Operations and Service Management

Research output: Chapter in Book/Published conference output › Conference publication

15 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the Winter Simulation Conference, 2001
Editors	Brett A. Peters, Jeffrey S. Smith, D.J. Medeiros, Matt W. Rohrer
Publisher	IEEE
Pages	913-920
Number of pages	8
Volume	2
ISBN (Print)	0-7803-7307-3
DOIs	https://doi.org/10.1109/WSC.2001.977393
Publication status	Published - 2001
Event	Winter Simulation Conference 2001 - Arlington, VA, United States Duration: 9 Dec 2001 → 12 Dec 2001

Conference

Conference	Winter Simulation Conference 2001
Country/Territory	United States
City	Arlington, VA
Period	9/12/01 → 12/12/01

Access to Document

10.1109/WSC.2001.977393

Cite this

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title = "Modelling and improving human decision making with simulation",

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",

author = "Stewart Robinson and Thanos Alifantis and Robert Hurrion and John Edwards and John Ladbrook and Tony Waller",

year = "2001",

doi = "10.1109/WSC.2001.977393",

language = "English",

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pages = "913--920",

editor = "Peters, {Brett A.} and Smith, {Jeffrey S.} and D.J. Medeiros and Rohrer, {Matt W.}",

booktitle = "Proceedings of the Winter Simulation Conference, 2001",

publisher = "IEEE",

address = "United States",

note = "Winter Simulation Conference 2001 ; Conference date: 09-12-2001 Through 12-12-2001",

}

Robinson, S, Alifantis, T, Hurrion, R, Edwards, J, Ladbrook, J & Waller, T 2001, Modelling and improving human decision making with simulation. in BA Peters, JS Smith, DJ Medeiros & MW Rohrer (eds), Proceedings of the Winter Simulation Conference, 2001. vol. 2, IEEE, pp. 913-920, Winter Simulation Conference 2001, Arlington, VA, United States, 9/12/01. https://doi.org/10.1109/WSC.2001.977393

Modelling and improving human decision making with simulation. / Robinson, Stewart; Alifantis, Thanos; Hurrion, Robert et al.
Proceedings of the Winter Simulation Conference, 2001. ed. / Brett A. Peters; Jeffrey S. Smith; D.J. Medeiros; Matt W. Rohrer. Vol. 2 IEEE, 2001. p. 913-920.

Research output: Chapter in Book/Published conference output › Conference publication

TY - GEN

T1 - Modelling and improving human decision making with simulation

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AU - Alifantis, Thanos

AU - Hurrion, Robert

AU - Edwards, John

AU - Ladbrook, John

AU - Waller, Tony

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Y1 - 2001

N2 - 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

AB - 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

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DO - 10.1109/WSC.2001.977393

M3 - Conference publication

SN - 0-7803-7307-3

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EP - 920

BT - Proceedings of the Winter Simulation Conference, 2001

A2 - Peters, Brett A.

A2 - Smith, Jeffrey S.

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A2 - Rohrer, Matt W.

PB - IEEE

T2 - Winter Simulation Conference 2001

Y2 - 9 December 2001 through 12 December 2001

ER -

Modelling and improving human decision making with simulation

Abstract

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