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Use of statistical software to construct 1-mr control charts for non normal data

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dc.contributor.author Dhanushika, MP
dc.contributor.author Banneheka, BMSG
dc.contributor.author Herath, K
dc.contributor.author Siriwardene, S
dc.date.accessioned 2014-01-16T15:03:07Z
dc.date.available 2014-01-16T15:03:07Z
dc.date.issued 2014-01-16
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/9797
dc.description.abstract Statistical Process Control (SPC) is an important quality control technique, which aims to reduce variability and monitor the performance of a production process in order to improve and assure the quality of the' product. Control charting can be successfully applied for implementation of SPC in any industry. The theory on most of established control charts is based on the normal assumption and their performances are very much sensitive the departures from the normal assumption. Minitab 15 statistical software performs individual distribution identification which allows us to fit the data with 14 parametric distributions and 2 transformations. Through this distribution identification technique, in this paper, we have provided a solution to construct control charts for non normal data. As an effective application of control charts, mainly, this study focuses on constructing control charts for quality assurance in crepe rubber industry. Since the output of crepe rubber manufacturing process usually generates individual observations due to the inborn features of the production process, Individual and Moving Range chart (1- MR chart) has been used in this study. en_US
dc.language.iso en en_US
dc.title Use of statistical software to construct 1-mr control charts for non normal data en_US
dc.type Conference-Extended-Abstract en_US
dc.identifier.year 2012 en_US
dc.identifier.conference ITRU Research Symposium - 2012 en_US
dc.identifier.pgnos 1-5 en_US
dc.identifier.proceeding Exploring IT Solutions for National Development en_US
dc.identifier.email dhanushikam@uom.lk en_US
dc.identifier.email banneheka@dscs.sjp.ac.lk en_US
dc.identifier.email lakminikemrjjyahoo.com en_US
dc.identifier.email susantha.siriwardenagsyahoo.com en_US


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