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Development of a new learning methodology for discrete event simulation by reutilising previous software experience

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conference contribution
posted on 22.09.2017, 15:33 authored by Alejandro Guerrero, Joseph F. Darlington, Richard H. Weston, Keith CaseKeith Case, Robert Harrison
New discrete event simulation software available to industry has significantly reduced the modelling efforts of complex manufacturing problems. These tools enable analysts to assess the viability of potential solutions that better conform to previously defined requirements. Thus, analysts must be conversant in new technologies applications to deliver top quality solutions to the enterprises analysed. Traditional approaches of learning a new technology tend to isolate previous knowledge the analyst possesses in similar application fields and concentrate on features and strengths of the particular application under study. A new approach is therefore needed to capitalise on previous experience an analyst might have, enabling reduction of learning a new technological application by minimising the learning curve effort spent learning the technology, and increasing focus on quantitative and qualitative analysis. [Continues.]

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Sixth International Conference on Manufacturing Research, ICMR08 'Advances in Manufacturing Technology XXII', the Proceedings of the Sixth International Conference on Manufacturing Research, ICMR08

Volume

2

Pages

647 - 654

Citation

GUERRERO, A. ... et al., 2008. Development of a new learning methodology for discrete event simulation by reutilising previous software experience. IN: Proceedings of 2008 6th International Conference on Manufacturing Research (ICMR 2008): Advances in Manufacturing Technology 22, London, Great Britain, 9-11 September 2008, vol. 2, pp.647-654.

Publisher

Brunel University

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2008

ISBN

9781902316604;1902316606

Publisher version

Language

en

Location

Brunel University, London, UK

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Keywords

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