Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/17305
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dc.contributor.authorPraking P.
dc.contributor.authorKetrath W.
dc.contributor.authorChoomrit N.
dc.date.accessioned2022-03-10T13:16:47Z-
dc.date.available2022-03-10T13:16:47Z-
dc.date.issued2021
dc.identifier.other2-s2.0-85107528029
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/17305-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107528029&doi=10.1109%2fICIEA52957.2021.9436715&partnerID=40&md5=98e9e9e4dda333a760a38d7c710820dc
dc.description.abstractThis paper demonstrates the application of Six Sigma 'DMAIC' to reduce misshapen defects within a soft gelatin capsule manufacturing process. The paper follows the DMAIC stages to investigate defects, root cause, and provide a solution to reduce these defects. Firstly, the problem is identified with the Pareto diagram. Secondly, an attribute agreement system is assessed for accuracy and precision. Next, the causes for the misshapen capsule are analyzed by the why-why analysis diagram. Then, the causes are narrowed down by applying a hypothesis test. Three significant factors are affecting the soft gelatin capsule manufacturing process. Which are, injection temperature, cooling temperature, and die roll speed. Full factorial design experiments were conducted. The results suggested that their two factors and two-way interactions are significant. An optimal setting was identified with a response optimizer. The new setting has resulted in a defect rate from 5.40% to 0.35% © 2021 IEEE.
dc.languageen
dc.subjectManufacture
dc.subjectProcess engineering
dc.subjectRolls (machine components)
dc.subjectSix sigma
dc.subjectAccuracy and precision
dc.subjectCooling temperature
dc.subjectFull factorial design
dc.subjectHypothesis tests
dc.subjectInjection temperature
dc.subjectManufacturing process
dc.subjectParameter setting
dc.subjectTwo-way interaction
dc.subjectDefects
dc.titleImprovement of Parameter Setting for Soft Gelatin Capsule Manufacturing Process
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation2021 IEEE 8th International Conference on Industrial Engineering and Applications, ICIEA 2021. Vol , No. (2021), p.379-383
dc.identifier.doi10.1109/ICIEA52957.2021.9436715
Appears in Collections:Scopus 1983-2021

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