Humans: the missing link in manufacturing simulation?

Tim Baines; Stephen Mason; Peer-Olaf Siebers; John Ladbrook

doi:10.1016/S1569-190X(03)00094-7

Humans: the missing link in manufacturing simulation?

Tim Baines
, Stephen Mason
, Peer-Olaf Siebers
, John Ladbrook

Operations and Service Management

Cranfield University
Ford Motor Company, Dunton

Research output: Contribution to journal › Article › peer-review

103 Citations (Scopus)

191 Downloads (Pure)

Abstract

Computer based discrete event simulation (DES) is one of the most commonly used aids for the design of automotive manufacturing systems. However, DES tools represent machines in extensive detail, while only representing workers as simple resources. This presents a problem when modelling systems with a highly manual work content, such as an assembly line. This paper describes research at Cranfield University, in collaboration with the Ford Motor Company, founded on the assumption that human variation is the cause of a large percentage of the disparity between simulation predictions and real world performance. The research aims to improve the accuracy and reliability of simulation prediction by including models of human factors.

Original language	English
Pages (from-to)	515-526
Number of pages	12
Journal	Simulation Modelling Practice and Theory
Volume	12
Issue number	7-8
Early online date	27 Aug 2003
DOIs	https://doi.org/10.1016/S1569-190X(03)00094-7
Publication status	Published - Nov 2004

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Simulation Modelling Practice and Theory. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Baines, T., Mason, S., Siebers, P-O., & Ladbrook, J. (2004). Humans: the missing link in manufacturing simulation?. Simulation modelling practice and theory, Vol. 12, No. 7-8 (2004) DOI http://dx.doi.org/10.1016/S1569-190X(03)00094-7

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

manufacturing simulation
human performance
micro-models

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10.1016/S1569-190X(03)00094-7

Humans_the missing link in manufacturing simulation
NOTICE: this is the author’s version of a work that was accepted for publication in Simulation Modelling Practice and Theory. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Baines, T., Mason, S., Siebers, P-O., & Ladbrook, J. (2004). Humans: the missing link in manufacturing simulation?. Simulation modelling practice and theory, Vol. 12, No. 7-8 (2004) DOI http://dx.doi.org/10.1016/S1569-190X(03)00094-7
Accepted author manuscript, 326 KB

Cite this

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title = "Humans: the missing link in manufacturing simulation?",

abstract = "Computer based discrete event simulation (DES) is one of the most commonly used aids for the design of automotive manufacturing systems. However, DES tools represent machines in extensive detail, while only representing workers as simple resources. This presents a problem when modelling systems with a highly manual work content, such as an assembly line. This paper describes research at Cranfield University, in collaboration with the Ford Motor Company, founded on the assumption that human variation is the cause of a large percentage of the disparity between simulation predictions and real world performance. The research aims to improve the accuracy and reliability of simulation prediction by including models of human factors.",

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KW - human performance

KW - micro-models

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ER -

Humans: the missing link in manufacturing simulation?

Abstract

Bibliographical note

UN SDGs

Keywords

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Cite this