Process variability reduction by using the design of experiment— A case study

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dc.contributorInternational FAIM Conference 24th : 2014 : San Antonio, Texas
dc.contributorUniversity of Texas at San Antonio. Center for Advanced Manufacturing and Lean Systems
dc.contributor.authorMachac, Jan
dc.contributor.authorSteiner, Frantisek
dc.date.accessioned2022-07-11T17:35:52Z
dc.date.available2022-07-11T17:35:52Z
dc.date.issued2014
dc.descriptionPaper presented at the Proceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing, held May 20-23, 2014 in San Antonio, Texas, and organized by the Center for Advanced Manufacturing and Lean Systems, University of Texas at San Antonio
dc.descriptionIncludes bibliographical references
dc.description.abstractLow process variability and capability index might be some of customer's requirements. Therefore it is necessary to fulfil these requirements and guarantee them in the future. Since state-of-art companies that want to keep up with competitors have to consider all actions which might prevent losses or customer's dissatisfaction. This paper deals with possibilities how to decrease the process variability and satisfy customers. For process variability decrease, statistical experiments were carried out. The paper contains a case study devoted to the usage of design of experiment (DOE) in the production process. The case study reveals ways of dealing with real production problems and offers an effective treatment.
dc.identifier.otherhttp://dx.doi.org/10.14809/faim.2014.1085
dc.identifier.urihttps://hdl.handle.net/20.500.12588/1052
dc.language.isoen_US
dc.publisherDEStech Publications, Inc.
dc.relation.ispartofseriesProceedings of the 24th International Conference on Flexible Automation & Intelligent Manufacturing
dc.subjectProcess control
dc.subjectManufacturing processes--Mathematical models
dc.subjectConsumer satisfaction
dc.titleProcess variability reduction by using the design of experiment— A case study
dc.typeArticle

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