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  4. Advanced scientific algorithms in digital factory design applications
 
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Advanced scientific algorithms in digital factory design applications

Citation Link: https://doi.org/10.15480/882.1778
Publikationstyp
Conference Paper
Date Issued
2018-09-13
Sprache
English
Author(s)
Lohmer, Jacob  
Klausnitzer, Armin  
Lasch, Rainer  
Editor(s)
Kersten, Wolfgang  orcid-logo
Blecker, Thorsten  orcid-logo
Ringle, Christian M.  orcid-logo
TORE-DOI
10.15480/882.1778
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1781
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
25
Start Page
57
End Page
77
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2018  
Publisher Link
https://www.epubli.de/shop/buch/78929
Publisher
epubli
In contrast to manual procedures, research constantly develops modern computerized factory design approaches applying concepts of Industry 4.0. Nevertheless, literature hardly reveals their practical application. A market review analyzing recent software applications shows that they still focus on simple and outdated algorithms, resulting in limited support for facility arrangement. This study further analyzes the use of scientific approaches implemented in software applications for factory design and suggests new research directions to increase their practical applicability. Therefore, we conducted a semi-structured interview study investigating four layout design software developers. Applying an iterative approach, semi-structured and guided interviews were performed, coded, grouped into categories referring to similar phenomena, and interpreted to provide proposals for future research. The results indicate that innovative, automated methods are met with skepticism, although their performance is considerably superior to traditional approaches. The interviewed developers for factory design software reveal certain features they expect from modern approaches emerging from research to ensure successful implementation.
Subjects
Factory layout design
Software applications
Metaheuristics
Interview study
DDC Class
330: Wirtschaft
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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