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Design of industrial system using digital numerical control

dc.contributor.authorDuc, Minh L.
dc.contributor.authorBilík, Petr
dc.contributor.authorTruong, Thuy D.
dc.date.accessioned2023-02-21T13:47:16Z
dc.date.available2023-02-21T13:47:16Z
dc.date.issued2022
dc.identifier.citationQuality Innovation Prosperity - Kvalita Inovácia Prosperita. 2022, vol. 26, issue 3, p. 135-150.cs
dc.identifier.issn1335-1745
dc.identifier.urihttp://hdl.handle.net/10084/149133
dc.description.abstractPurpose: This paper would be based on applying quality 4.0 technology to mechanical factories. The overall purpose of quality 4.0 technology is to transition production lines from semi-automatic production to automatic production. Methodology/Approach: The lean six-sigma with five phases of Define Measure Analysis Improve Control (DMAIC) would be used to measure the quality of 4.0 integration. Each phase is composed of statistical tools, hypothesis testing, experimental design, industrial tools, etc. to provide less error for precision in manufacturing control. Findings: Results shows that scrap products decreased by 59.66% per year, the productivity of the production line assembly increased by 7.8%, and the total lead time decreased by 20 minutes. As well as the required payments and the monthly reduction of value cost of 500 USD for jig improvement, and profit is 678 USD per month and 7,636 USD per year. Research Limitation/Implication: Gaseous hydrocarbons or organic compounds from n-hexane can be a challenge for sensors utilizing signals for researchers. Also, another issue would be the power supply output to the sensor due to external interference. Originality/Value of paper: This research focuses on applying the usage of sensors from a semi-automatic machine tool to an automatic machine tool. Category: Case studycs
dc.language.isoencs
dc.publisherTechnická univerzita Košicecs
dc.relation.ispartofseriesQuality Innovation Prosperity - Kvalita Inovácia Prosperitacs
dc.relation.urihttps://doi.org/10.12776/QIP.V26I3.1747cs
dc.rights© 2022 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC-BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectsensorcs
dc.subjectsignal processingcs
dc.subjectDMAICcs
dc.subjectcomputer visioncs
dc.subjectdigital numerical controlcs
dc.titleDesign of industrial system using digital numerical controlcs
dc.typearticlecs
dc.identifier.doi10.12776/QIP.V26I3.1747
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume26cs
dc.description.issue3cs
dc.description.lastpage150cs
dc.description.firstpage135cs
dc.identifier.wos000893481700008


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© 2022 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC-BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2022 by the authors. Submitted for possible open access publication under the terms and conditions of the Creative Commons Attribution (CC-BY) license.