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dc.contributor.authorLalit Kumar-
dc.contributor.authorD. R. Prajapati-
dc.date.accessioned2024-02-27T05:54:43Z-
dc.date.available2024-02-27T05:54:43Z-
dc.date.issued2016-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/6184-
dc.description.abstractThe three different capability measures gil'e a different 1·iell' of process capability. The normal curve application genera/Ii· concentrates on the percentage of products that are out of specifications. The PCR is a ve1:i• 1•isual indicator of capability. When the ratio is less than J or the percentage is less than J 00°0, it indicates an image of distribution that are total~\' within specifications. When the percentage is more than I 00%. an image of the distribution overlaps the specification limits. The combination of C and p Crk is used extensively because it shows both the potential process capabilities. The process capability ratio (PCR) and process capability index (C,,,) fur a drive shaft ha1•e been computed after stabili::ing the manufaclllring process. Daw have been taken from the ma1111fac1uring process and the X' & R control charts hm·e been plotted to find 1rhe1her the processes are with-in statistical control or out of statistical control. Process capabili~I' analysis has been done lo find the effectiveness of the processes. It is found that the 7.35°0 of sprockets is beyond the control limits. which is rea/~1· a higher rejection level and major concemfor the industry.-
dc.publisherUdyog Pragati the Journall For Practising Managers-
dc.titleCapability Study of Production Process Using SPC Tool- a Case Study-
dc.volVol. 40-
dc.issuedNo. 1-
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