Cargando…
Exploration of the optimal modularity in assembly line design
It is widely accepted that a proper structural modularity degree of assembly processes in terms of mass customization has a positive effect on their efficiency because it, among other things, increases manufacturing flexibility and productivity. On the other hand, most practical approaches to identi...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701789/ https://www.ncbi.nlm.nih.gov/pubmed/36437404 http://dx.doi.org/10.1038/s41598-022-24972-2 |
_version_ | 1784839615739330560 |
---|---|
author | Modrak, Vladimir Soltysova, Zuzana |
author_facet | Modrak, Vladimir Soltysova, Zuzana |
author_sort | Modrak, Vladimir |
collection | PubMed |
description | It is widely accepted that a proper structural modularity degree of assembly processes in terms of mass customization has a positive effect on their efficiency because it, among other things, increases manufacturing flexibility and productivity. On the other hand, most practical approaches to identify such a degree is rather based on intuition or analytical reasoning than on scientific foundations. However, the first way can be used for simple assembly tasks, but in more complex assembly processes, this method lags behind the second. The purpose was to create a methodology for selection of optimal modular assembly model from among a predefined set of alternatives. The methodology is based on exploration of the relations between modularity measures and complexity issues as well as the relationship between structural modularity and symmetry. Especially, the linkage between modularity and complexity properties has been explored in order to show how modularization can affect distribution of the total structural complexity across the entire assembly line. To solve this selection problem, three different methods are preliminary suggested and compared via a series of numerical tests. The two of them present the novel contribution of this work, while the third method developed earlier for the purpose of finding and evaluating community structure in networks was adapted for a given application domain. Based on obtained results, one of these method is prioritized over another, since it offers more promising results and precision too. |
format | Online Article Text |
id | pubmed-9701789 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97017892022-11-29 Exploration of the optimal modularity in assembly line design Modrak, Vladimir Soltysova, Zuzana Sci Rep Article It is widely accepted that a proper structural modularity degree of assembly processes in terms of mass customization has a positive effect on their efficiency because it, among other things, increases manufacturing flexibility and productivity. On the other hand, most practical approaches to identify such a degree is rather based on intuition or analytical reasoning than on scientific foundations. However, the first way can be used for simple assembly tasks, but in more complex assembly processes, this method lags behind the second. The purpose was to create a methodology for selection of optimal modular assembly model from among a predefined set of alternatives. The methodology is based on exploration of the relations between modularity measures and complexity issues as well as the relationship between structural modularity and symmetry. Especially, the linkage between modularity and complexity properties has been explored in order to show how modularization can affect distribution of the total structural complexity across the entire assembly line. To solve this selection problem, three different methods are preliminary suggested and compared via a series of numerical tests. The two of them present the novel contribution of this work, while the third method developed earlier for the purpose of finding and evaluating community structure in networks was adapted for a given application domain. Based on obtained results, one of these method is prioritized over another, since it offers more promising results and precision too. Nature Publishing Group UK 2022-11-27 /pmc/articles/PMC9701789/ /pubmed/36437404 http://dx.doi.org/10.1038/s41598-022-24972-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Modrak, Vladimir Soltysova, Zuzana Exploration of the optimal modularity in assembly line design |
title | Exploration of the optimal modularity in assembly line design |
title_full | Exploration of the optimal modularity in assembly line design |
title_fullStr | Exploration of the optimal modularity in assembly line design |
title_full_unstemmed | Exploration of the optimal modularity in assembly line design |
title_short | Exploration of the optimal modularity in assembly line design |
title_sort | exploration of the optimal modularity in assembly line design |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701789/ https://www.ncbi.nlm.nih.gov/pubmed/36437404 http://dx.doi.org/10.1038/s41598-022-24972-2 |
work_keys_str_mv | AT modrakvladimir explorationoftheoptimalmodularityinassemblylinedesign AT soltysovazuzana explorationoftheoptimalmodularityinassemblylinedesign |