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Probability-Based Process Capability Indices
This article deals with alternative process capability indices (PCIs) to traditional basic PCIs C p , C pk , and C pm based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alte...
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| Published in: | Communications in statistics. Simulation and computation 2009-02, Vol.38 (4), p.884-904 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| cites | cdi_FETCH-LOGICAL-c289t-4962eac4594bcc7f10fbaf7d5facc2e6958bb3d46a6152cc2e2a0b4ae6dfb2a93 |
| container_end_page | 904 |
| container_issue | 4 |
| container_start_page | 884 |
| container_title | Communications in statistics. Simulation and computation |
| container_volume | 38 |
| creator | Khadse, K. G. Shinde, R. L. |
| description | This article deals with alternative process capability indices (PCIs) to traditional basic PCIs C
p
, C
pk
, and C
pm
based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alternative PCIs are very useful as compared to C
p
, C
pk
, and C
pm
. Computing aspects of proposed PCIs are discussed for normal and non normal processes when process tolerance is symmetric as well as asymmetric. Generalization of these PCIs for multivariate set up is also discussed. Some simulation study results and real life problems are given for applications of proposed PCIs. |
| doi_str_mv | 10.1080/03610910802680880 |
| format | article |
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p
, C
pk
, and C
pm
based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alternative PCIs are very useful as compared to C
p
, C
pk
, and C
pm
. Computing aspects of proposed PCIs are discussed for normal and non normal processes when process tolerance is symmetric as well as asymmetric. Generalization of these PCIs for multivariate set up is also discussed. Some simulation study results and real life problems are given for applications of proposed PCIs.</description><identifier>ISSN: 0361-0918</identifier><identifier>EISSN: 1532-4141</identifier><identifier>DOI: 10.1080/03610910802680880</identifier><identifier>CODEN: CSSCDB</identifier><language>eng</language><publisher>Colchester: Taylor & Francis Group</publisher><subject>60-08 ; Asymmetric tolerance ; Exact sciences and technology ; Mathematics ; Multivariate normal process ; Non normal process ; Numerical analysis ; Numerical analysis. Scientific computation ; Numerical methods in probability and statistics ; Process capability indices ; Sciences and techniques of general use</subject><ispartof>Communications in statistics. Simulation and computation, 2009-02, Vol.38 (4), p.884-904</ispartof><rights>Copyright Taylor & Francis Group, LLC 2009</rights><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c289t-4962eac4594bcc7f10fbaf7d5facc2e6958bb3d46a6152cc2e2a0b4ae6dfb2a93</citedby><cites>FETCH-LOGICAL-c289t-4962eac4594bcc7f10fbaf7d5facc2e6958bb3d46a6152cc2e2a0b4ae6dfb2a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21417302$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Khadse, K. G.</creatorcontrib><creatorcontrib>Shinde, R. L.</creatorcontrib><title>Probability-Based Process Capability Indices</title><title>Communications in statistics. Simulation and computation</title><description>This article deals with alternative process capability indices (PCIs) to traditional basic PCIs C
p
, C
pk
, and C
pm
based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alternative PCIs are very useful as compared to C
p
, C
pk
, and C
pm
. Computing aspects of proposed PCIs are discussed for normal and non normal processes when process tolerance is symmetric as well as asymmetric. Generalization of these PCIs for multivariate set up is also discussed. Some simulation study results and real life problems are given for applications of proposed PCIs.</description><subject>60-08</subject><subject>Asymmetric tolerance</subject><subject>Exact sciences and technology</subject><subject>Mathematics</subject><subject>Multivariate normal process</subject><subject>Non normal process</subject><subject>Numerical analysis</subject><subject>Numerical analysis. Scientific computation</subject><subject>Numerical methods in probability and statistics</subject><subject>Process capability indices</subject><subject>Sciences and techniques of general use</subject><issn>0361-0918</issn><issn>1532-4141</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLAzEUhYMoWKs_wF03unI0r0kTcKPFR6GgC12Hm0wCkemkJlOk_94MU92Iq3s55zv3wkHonOBrgiW-wUwQrIaVComlxAdoQmpGK044OUSTwa8KII_RSc4fGGMmuZygq9cUDZjQhn5X3UN2zawo1uU8W8Bmb8yWXROKdoqOPLTZne3nFL0_PrwtnqvVy9NycbeqLJWqr7gS1IHlteLG2rkn2Bvw86b2YC11QtXSGNZwAYLUdJAoYMPBicYbCopN0eV4d5Pi59blXq9Dtq5toXNxmzXjVClCSQHJCNoUc07O600Ka0g7TbAeytB_eimZi_1xyBZan6CzIf8GaelrzjAt3O3Ihc7HtIavmNpG97BrY_oJsf_ffAN1QXTL</recordid><startdate>20090224</startdate><enddate>20090224</enddate><creator>Khadse, K. G.</creator><creator>Shinde, R. L.</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20090224</creationdate><title>Probability-Based Process Capability Indices</title><author>Khadse, K. G. ; Shinde, R. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c289t-4962eac4594bcc7f10fbaf7d5facc2e6958bb3d46a6152cc2e2a0b4ae6dfb2a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>60-08</topic><topic>Asymmetric tolerance</topic><topic>Exact sciences and technology</topic><topic>Mathematics</topic><topic>Multivariate normal process</topic><topic>Non normal process</topic><topic>Numerical analysis</topic><topic>Numerical analysis. Scientific computation</topic><topic>Numerical methods in probability and statistics</topic><topic>Process capability indices</topic><topic>Sciences and techniques of general use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khadse, K. G.</creatorcontrib><creatorcontrib>Shinde, R. L.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Communications in statistics. Simulation and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khadse, K. G.</au><au>Shinde, R. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Probability-Based Process Capability Indices</atitle><jtitle>Communications in statistics. Simulation and computation</jtitle><date>2009-02-24</date><risdate>2009</risdate><volume>38</volume><issue>4</issue><spage>884</spage><epage>904</epage><pages>884-904</pages><issn>0361-0918</issn><eissn>1532-4141</eissn><coden>CSSCDB</coden><abstract>This article deals with alternative process capability indices (PCIs) to traditional basic PCIs C
p
, C
pk
, and C
pm
based on different fraction conforming type of probabilities. In view of various problems of constructing capability indices for univariate as well as multivariate set up, these alternative PCIs are very useful as compared to C
p
, C
pk
, and C
pm
. Computing aspects of proposed PCIs are discussed for normal and non normal processes when process tolerance is symmetric as well as asymmetric. Generalization of these PCIs for multivariate set up is also discussed. Some simulation study results and real life problems are given for applications of proposed PCIs.</abstract><cop>Colchester</cop><pub>Taylor & Francis Group</pub><doi>10.1080/03610910802680880</doi><tpages>21</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0361-0918 |
| ispartof | Communications in statistics. Simulation and computation, 2009-02, Vol.38 (4), p.884-904 |
| issn | 0361-0918 1532-4141 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_21417302 |
| source | Taylor and Francis Science and Technology Collection |
| subjects | 60-08 Asymmetric tolerance Exact sciences and technology Mathematics Multivariate normal process Non normal process Numerical analysis Numerical analysis. Scientific computation Numerical methods in probability and statistics Process capability indices Sciences and techniques of general use |
| title | Probability-Based Process Capability Indices |
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