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Download fileDevelopment of a new learning methodology for discrete event simulation by reutilising previous software experience
conference contribution
posted on 2017-09-22, 15:33 authored by Alejandro Guerrero, Joseph F. Darlington, Richard H. Weston, Keith CaseKeith Case, Robert HarrisonNew 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, ICMR08Volume
2Pages
647 - 654Citation
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 UniversityVersion
- 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
2008ISBN
9781902316604;1902316606Publisher version
Language
- en