Computer aided tolerance analysis for improved process control
This paper describes a case study where tolerance analysis techniques were used to analyze the cause of poor product performance and determine new specifications and process settings. Both 1D and 3D Monte-Carlo simulation analyses are described. A procedure for compensatory tolerancing is presented...
Gespeichert in:
Veröffentlicht in: | Computers & industrial engineering 2000, Vol.38 (1), p.1-19 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 19 |
---|---|
container_issue | 1 |
container_start_page | 1 |
container_title | Computers & industrial engineering |
container_volume | 38 |
creator | Gerth, Richard J. Hancock, Walton M. |
description | This paper describes a case study where tolerance analysis techniques were used to analyze the cause of poor product performance and determine new specifications and process settings. Both 1D and 3D Monte-Carlo simulation analyses are described. A procedure for compensatory tolerancing is presented and demonstrated as a method of determining the appropriate tolerances once the product is in full-scale production. |
doi_str_mv | 10.1016/S0360-8352(00)00007-3 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_27237012</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360835200000073</els_id><sourcerecordid>68581240</sourcerecordid><originalsourceid>FETCH-LOGICAL-c394t-ea302717e8d1e517df246b14021d6e8250789fe48e3904228b9716018fff7e883</originalsourceid><addsrcrecordid>eNqFkE1LAzEQhoMoWD9-grCIiB5WZ5LdTfaiSPELCh7Uc4jZCUS2TU22Qv-9aSsKXpzLHOZ5Z5KHsSOECwRsLp9BNFAqUfMzgHPIJUuxxUaoZFtCXcM2G_0gu2wvpffMVHWLI3Y1DtP5YqBYGN9RVwyhp2hmlgozM_0y-VS4EAs_ncfwmee5WUqpsGE2xNAfsB1n-kSH332fvd7dvowfysnT_eP4ZlJa0VZDSUYAlyhJdUg1ys7xqnnDCjh2DSleg1Sto0qRaKHiXL21EhtA5ZzLISX22elmb77_saA06KlPlvrezCgskuaSCwnIM3j8B3wPi5i_khkUspaNhAzVG8jGkFIkp-fRT01cagS9UqrXSvXKlwbQa6Va5NzJ93KTrOndSpRPv-EK8_MxY9cbjLKRT09RJ-spO-18JDvoLvh_Dn0BykOIaA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>213757670</pqid></control><display><type>article</type><title>Computer aided tolerance analysis for improved process control</title><source>Elsevier ScienceDirect Journals</source><creator>Gerth, Richard J. ; Hancock, Walton M.</creator><creatorcontrib>Gerth, Richard J. ; Hancock, Walton M.</creatorcontrib><description>This paper describes a case study where tolerance analysis techniques were used to analyze the cause of poor product performance and determine new specifications and process settings. Both 1D and 3D Monte-Carlo simulation analyses are described. A procedure for compensatory tolerancing is presented and demonstrated as a method of determining the appropriate tolerances once the product is in full-scale production.</description><identifier>ISSN: 0360-8352</identifier><identifier>EISSN: 1879-0550</identifier><identifier>DOI: 10.1016/S0360-8352(00)00007-3</identifier><identifier>CODEN: CINDDL</identifier><language>eng</language><publisher>Seoul: Elsevier Ltd</publisher><subject>Applied sciences ; Computer aided design ; Computer science; control theory; systems ; Control systems ; Exact sciences and technology ; Monte Carlo simulation ; Operational research and scientific management ; Operational research. Management science ; Process control ; Process controls ; Process planning ; Reliability theory. Replacement problems ; Simulation ; Software ; Specifications ; Studies ; Tolerances</subject><ispartof>Computers & industrial engineering, 2000, Vol.38 (1), p.1-19</ispartof><rights>2000</rights><rights>2000 INIST-CNRS</rights><rights>Copyright Pergamon Press Inc. Jan 2000</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-ea302717e8d1e517df246b14021d6e8250789fe48e3904228b9716018fff7e883</citedby><cites>FETCH-LOGICAL-c394t-ea302717e8d1e517df246b14021d6e8250789fe48e3904228b9716018fff7e883</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0360835200000073$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1413901$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gerth, Richard J.</creatorcontrib><creatorcontrib>Hancock, Walton M.</creatorcontrib><title>Computer aided tolerance analysis for improved process control</title><title>Computers & industrial engineering</title><description>This paper describes a case study where tolerance analysis techniques were used to analyze the cause of poor product performance and determine new specifications and process settings. Both 1D and 3D Monte-Carlo simulation analyses are described. A procedure for compensatory tolerancing is presented and demonstrated as a method of determining the appropriate tolerances once the product is in full-scale production.</description><subject>Applied sciences</subject><subject>Computer aided design</subject><subject>Computer science; control theory; systems</subject><subject>Control systems</subject><subject>Exact sciences and technology</subject><subject>Monte Carlo simulation</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Process control</subject><subject>Process controls</subject><subject>Process planning</subject><subject>Reliability theory. Replacement problems</subject><subject>Simulation</subject><subject>Software</subject><subject>Specifications</subject><subject>Studies</subject><subject>Tolerances</subject><issn>0360-8352</issn><issn>1879-0550</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWD9-grCIiB5WZ5LdTfaiSPELCh7Uc4jZCUS2TU22Qv-9aSsKXpzLHOZ5Z5KHsSOECwRsLp9BNFAqUfMzgHPIJUuxxUaoZFtCXcM2G_0gu2wvpffMVHWLI3Y1DtP5YqBYGN9RVwyhp2hmlgozM_0y-VS4EAs_ncfwmee5WUqpsGE2xNAfsB1n-kSH332fvd7dvowfysnT_eP4ZlJa0VZDSUYAlyhJdUg1ys7xqnnDCjh2DSleg1Sto0qRaKHiXL21EhtA5ZzLISX22elmb77_saA06KlPlvrezCgskuaSCwnIM3j8B3wPi5i_khkUspaNhAzVG8jGkFIkp-fRT01cagS9UqrXSvXKlwbQa6Va5NzJ93KTrOndSpRPv-EK8_MxY9cbjLKRT09RJ-spO-18JDvoLvh_Dn0BykOIaA</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Gerth, Richard J.</creator><creator>Hancock, Walton M.</creator><general>Elsevier Ltd</general><general>Pergamon Press</general><general>Pergamon Press Inc</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>2000</creationdate><title>Computer aided tolerance analysis for improved process control</title><author>Gerth, Richard J. ; Hancock, Walton M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-ea302717e8d1e517df246b14021d6e8250789fe48e3904228b9716018fff7e883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Applied sciences</topic><topic>Computer aided design</topic><topic>Computer science; control theory; systems</topic><topic>Control systems</topic><topic>Exact sciences and technology</topic><topic>Monte Carlo simulation</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Process control</topic><topic>Process controls</topic><topic>Process planning</topic><topic>Reliability theory. Replacement problems</topic><topic>Simulation</topic><topic>Software</topic><topic>Specifications</topic><topic>Studies</topic><topic>Tolerances</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gerth, Richard J.</creatorcontrib><creatorcontrib>Hancock, Walton M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</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>Computers & industrial engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gerth, Richard J.</au><au>Hancock, Walton M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computer aided tolerance analysis for improved process control</atitle><jtitle>Computers & industrial engineering</jtitle><date>2000</date><risdate>2000</risdate><volume>38</volume><issue>1</issue><spage>1</spage><epage>19</epage><pages>1-19</pages><issn>0360-8352</issn><eissn>1879-0550</eissn><coden>CINDDL</coden><abstract>This paper describes a case study where tolerance analysis techniques were used to analyze the cause of poor product performance and determine new specifications and process settings. Both 1D and 3D Monte-Carlo simulation analyses are described. A procedure for compensatory tolerancing is presented and demonstrated as a method of determining the appropriate tolerances once the product is in full-scale production.</abstract><cop>Seoul</cop><cop>Oxford</cop><cop>New York, NY</cop><pub>Elsevier Ltd</pub><doi>10.1016/S0360-8352(00)00007-3</doi><tpages>19</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0360-8352 |
ispartof | Computers & industrial engineering, 2000, Vol.38 (1), p.1-19 |
issn | 0360-8352 1879-0550 |
language | eng |
recordid | cdi_proquest_miscellaneous_27237012 |
source | Elsevier ScienceDirect Journals |
subjects | Applied sciences Computer aided design Computer science control theory systems Control systems Exact sciences and technology Monte Carlo simulation Operational research and scientific management Operational research. Management science Process control Process controls Process planning Reliability theory. Replacement problems Simulation Software Specifications Studies Tolerances |
title | Computer aided tolerance analysis for improved process control |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T20%3A46%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Computer%20aided%20tolerance%20analysis%20for%20improved%20process%20control&rft.jtitle=Computers%20&%20industrial%20engineering&rft.au=Gerth,%20Richard%20J.&rft.date=2000&rft.volume=38&rft.issue=1&rft.spage=1&rft.epage=19&rft.pages=1-19&rft.issn=0360-8352&rft.eissn=1879-0550&rft.coden=CINDDL&rft_id=info:doi/10.1016/S0360-8352(00)00007-3&rft_dat=%3Cproquest_cross%3E68581240%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=213757670&rft_id=info:pmid/&rft_els_id=S0360835200000073&rfr_iscdi=true |