Please use this identifier to cite or link to this item:
http://localhost:80/xmlui/handle/123456789/145| Title: | Univariate and Multivariate Process Capability Analysis for Different Types of Specification Limits |
| Authors: | Chakraborty, Ashis Kumar Chatterjee, Moutushi |
| Keywords: | PCI assumption |
| Issue Date: | 5-Jan-2012 |
| Series/Report no.: | Springer Series in Reliability Engineering; |
| Abstract: | In the context of statistical quality control, process capability analysis is one of the widely accepted approaches for assessing the ability of a process to produce what it is supposed to produce. Normally, an index known as the process capability index, abbreviated as PCI henceforth, is used to judge the health of the process vis-a-vis the given specification. In this context, the concept of PCI is generally applied in manufacturing industries. PCI mostly gives single valued assessment of the ability of a process to produce items within the pre-assigned specification limits. It is, generally, a higher the better type of index with the ‘high’ value indicating that the process is capable of producing item that in all likelihood will meet or exceed customers’ requirement |
| Description: | Quality and Reliability Management and Its Applications Hoang Pham Editor |
| URI: | http://hdl.handle.net/123456789/145 |
| Appears in Collections: | Journal Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Moutusi - Book_chapter_Springer.pdf | 541.68 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.