Modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments

dc.creatorHerrera Vidal, Germán
dc.creatorCoronado-Hernandez, Jairo R.
dc.creatorMinnaard, Claudia
dc.date2022-05-25T22:24:26Z
dc.date2022-10-10
dc.date2022-05-25T22:24:26Z
dc.date2021-10-08
dc.date.accessioned2023-10-03T20:00:11Z
dc.date.available2023-10-03T20:00:11Z
dc.identifierVidal, G.H., Hernández, J.R.C. & Minnaard, C. Modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments. Int J Adv Manuf Technol 118, 3049–3058 (2022). https://doi.org/10.1007/s00170-021-08028-9
dc.identifier268-3768
dc.identifierhttps://hdl.handle.net/11323/9193
dc.identifierhttps://doi.org/10.1007/s00170-021-08028-9
dc.identifier10.1007/s00170-021-08028-9
dc.identifier1433-3015
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173755
dc.descriptionIn manufacturing systems, there are environments where the elaboration of a product requires a series of sequential operations, involving the configuration of machines by stages, intermediate buffer capacities, definition of assembly lines, and routing of parts. The objective of this research is to develop a modeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments. The methodological approach starts with the structural modeling, then the measurement of the complexity in the systems is developed, the hypotheses are proposed, and finally an experimental and factorial statistical analysis is developed. The results obtained corroborate the hypotheses proposed, where statistically the structural design factors and the variation of production time per stage have a significant influence on the response variable associated to the total complexity. Similarly, there is evidence of correlation between the performance indicators and the variable studied, in which the incidence with production costs stands out.
dc.format1 página
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherSpringer London
dc.publisherUnited Kingdom
dc.relationInternational Journal of Advanced Manufacturing Technology
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dc.relation3049
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dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rightshttp://purl.org/coar/access_right/c_f1cf
dc.sourcehttps://link.springer.com/article/10.1007/s00170-021-08028-9
dc.subjectComplexity
dc.subjectManufacturing systems
dc.subjectFlow shop and hybrid
dc.subjectModeling
dc.subjectStatistical analysis
dc.titleModeling and statistical analysis of complexity in manufacturing systems under flow shop and hybrid environments
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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