Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System
The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as...
Gespeichert in:
| Veröffentlicht in: | International journal of advanced manufacturing technology 2018-04, Vol.95 (9-12), p.3589-3597 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 3597 |
|---|---|
| container_issue | 9-12 |
| container_start_page | 3589 |
| container_title | International journal of advanced manufacturing technology |
| container_volume | 95 |
| creator | Reyes-Carlos, Yadira I. Mota-Gutiérrez, Cecilia G. Reséndiz-Flores, Edgar O. |
| description | The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as well as in practical industry and it has been applied to different problems where variable screening of the original set of attributes is essential. In this paper, MTS is applied to an automobile motor-head machining process and the corresponding mathematical model for dimensional reduction is solved using metaherustic algorithms from swarm intelligence optimization. |
| doi_str_mv | 10.1007/s00170-017-1348-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2490887918</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2490887918</sourcerecordid><originalsourceid>FETCH-LOGICAL-c420t-145ab6f49f0cbf77b64ab3b5398fe5373fa49c7ad03e8255f98a78792eeb620c3</originalsourceid><addsrcrecordid>eNp9kc1O3TAQha2qSL2FPkB3lrp2Gf8kdpYVgrYSiAWwtiZmchN0k9zaDhIvwHPj9CKxgs1Y9nznjDWHse8SfkoAe5oApAVRipDaOAGf2EYarYUGWX1mG1C1E9rW7gv7mtJDoWtZuw17vt7nYcQdf8Q4YLsjnkIkmoZpy4eJ45LncW6H8j7OeY6iJ7znI4Z--I_s4xwoJb6k9TZSxp6WOKQ8BI770i0kpdUp98SvsMcdTsUviVvcLsWF3zylTOMJO-pwl-jb63nM7i7Ob8_-iMvr33_Pfl2KYBRkIU2Fbd2ZpoPQdta2tcFWt5VuXEeVtrpD0wSL96DJqarqGofW2UYRtbWCoI_Zj4Nv-dq_hVL2D_MSpzLSK9OAK6x0H1KqVtI4cNWHVMmhxAJqpeSBCnFOKVLn97EsPD55CX6Nzh-i86X4NToPRaMOmlTYaUvxzfl90Qtrwpzx</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2262148085</pqid></control><display><type>article</type><title>Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System</title><source>SpringerLink Journals - AutoHoldings</source><creator>Reyes-Carlos, Yadira I. ; Mota-Gutiérrez, Cecilia G. ; Reséndiz-Flores, Edgar O.</creator><creatorcontrib>Reyes-Carlos, Yadira I. ; Mota-Gutiérrez, Cecilia G. ; Reséndiz-Flores, Edgar O.</creatorcontrib><description>The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as well as in practical industry and it has been applied to different problems where variable screening of the original set of attributes is essential. In this paper, MTS is applied to an automobile motor-head machining process and the corresponding mathematical model for dimensional reduction is solved using metaherustic algorithms from swarm intelligence optimization.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-017-1348-0</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Algorithms ; CAE) and Design ; Computer-Aided Engineering (CAD ; Decision making ; Engineering ; Heuristic methods ; Industrial and Production Engineering ; Machining ; Mechanical Engineering ; Media Management ; Multivariate analysis ; Optimization ; Original Article ; Pattern recognition ; Screening ; Swarm intelligence ; Taguchi methods</subject><ispartof>International journal of advanced manufacturing technology, 2018-04, Vol.95 (9-12), p.3589-3597</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2017</rights><rights>Copyright Springer Science & Business Media 2018</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2017). All Rights Reserved.</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c420t-145ab6f49f0cbf77b64ab3b5398fe5373fa49c7ad03e8255f98a78792eeb620c3</citedby><cites>FETCH-LOGICAL-c420t-145ab6f49f0cbf77b64ab3b5398fe5373fa49c7ad03e8255f98a78792eeb620c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-017-1348-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-017-1348-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Reyes-Carlos, Yadira I.</creatorcontrib><creatorcontrib>Mota-Gutiérrez, Cecilia G.</creatorcontrib><creatorcontrib>Reséndiz-Flores, Edgar O.</creatorcontrib><title>Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as well as in practical industry and it has been applied to different problems where variable screening of the original set of attributes is essential. In this paper, MTS is applied to an automobile motor-head machining process and the corresponding mathematical model for dimensional reduction is solved using metaherustic algorithms from swarm intelligence optimization.</description><subject>Algorithms</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Decision making</subject><subject>Engineering</subject><subject>Heuristic methods</subject><subject>Industrial and Production Engineering</subject><subject>Machining</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Multivariate analysis</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Pattern recognition</subject><subject>Screening</subject><subject>Swarm intelligence</subject><subject>Taguchi methods</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kc1O3TAQha2qSL2FPkB3lrp2Gf8kdpYVgrYSiAWwtiZmchN0k9zaDhIvwHPj9CKxgs1Y9nznjDWHse8SfkoAe5oApAVRipDaOAGf2EYarYUGWX1mG1C1E9rW7gv7mtJDoWtZuw17vt7nYcQdf8Q4YLsjnkIkmoZpy4eJ45LncW6H8j7OeY6iJ7znI4Z--I_s4xwoJb6k9TZSxp6WOKQ8BI770i0kpdUp98SvsMcdTsUviVvcLsWF3zylTOMJO-pwl-jb63nM7i7Ob8_-iMvr33_Pfl2KYBRkIU2Fbd2ZpoPQdta2tcFWt5VuXEeVtrpD0wSL96DJqarqGofW2UYRtbWCoI_Zj4Nv-dq_hVL2D_MSpzLSK9OAK6x0H1KqVtI4cNWHVMmhxAJqpeSBCnFOKVLn97EsPD55CX6Nzh-i86X4NToPRaMOmlTYaUvxzfl90Qtrwpzx</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Reyes-Carlos, Yadira I.</creator><creator>Mota-Gutiérrez, Cecilia G.</creator><creator>Reséndiz-Flores, Edgar O.</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20180401</creationdate><title>Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System</title><author>Reyes-Carlos, Yadira I. ; Mota-Gutiérrez, Cecilia G. ; Reséndiz-Flores, Edgar O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c420t-145ab6f49f0cbf77b64ab3b5398fe5373fa49c7ad03e8255f98a78792eeb620c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Decision making</topic><topic>Engineering</topic><topic>Heuristic methods</topic><topic>Industrial and Production Engineering</topic><topic>Machining</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Multivariate analysis</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Pattern recognition</topic><topic>Screening</topic><topic>Swarm intelligence</topic><topic>Taguchi methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reyes-Carlos, Yadira I.</creatorcontrib><creatorcontrib>Mota-Gutiérrez, Cecilia G.</creatorcontrib><creatorcontrib>Reséndiz-Flores, Edgar O.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reyes-Carlos, Yadira I.</au><au>Mota-Gutiérrez, Cecilia G.</au><au>Reséndiz-Flores, Edgar O.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2018-04-01</date><risdate>2018</risdate><volume>95</volume><issue>9-12</issue><spage>3589</spage><epage>3597</epage><pages>3589-3597</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The Mahalanobis-Taguchi System is a data analytical method for the diagnosis and/or pattern recognition with multivariate data and it is useful for quantitative decision making where the Mahalanobis distance plays a key role. Over time, MTS has received wide acceptance in the scientific community as well as in practical industry and it has been applied to different problems where variable screening of the original set of attributes is essential. In this paper, MTS is applied to an automobile motor-head machining process and the corresponding mathematical model for dimensional reduction is solved using metaherustic algorithms from swarm intelligence optimization.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-017-1348-0</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0268-3768 |
| ispartof | International journal of advanced manufacturing technology, 2018-04, Vol.95 (9-12), p.3589-3597 |
| issn | 0268-3768 1433-3015 |
| language | eng |
| recordid | cdi_proquest_journals_2490887918 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Algorithms CAE) and Design Computer-Aided Engineering (CAD Decision making Engineering Heuristic methods Industrial and Production Engineering Machining Mechanical Engineering Media Management Multivariate analysis Optimization Original Article Pattern recognition Screening Swarm intelligence Taguchi methods |
| title | Optimal variable screening in automobile motor-head machining process using metaheuristic approaches in the Mahalanobis-Taguchi System |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T11%3A45%3A59IST&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=Optimal%20variable%20screening%20in%20automobile%20motor-head%20machining%20process%20using%20metaheuristic%20approaches%20in%20the%20Mahalanobis-Taguchi%20System&rft.jtitle=International%20journal%20of%20advanced%20manufacturing%20technology&rft.au=Reyes-Carlos,%20Yadira%20I.&rft.date=2018-04-01&rft.volume=95&rft.issue=9-12&rft.spage=3589&rft.epage=3597&rft.pages=3589-3597&rft.issn=0268-3768&rft.eissn=1433-3015&rft_id=info:doi/10.1007/s00170-017-1348-0&rft_dat=%3Cproquest_cross%3E2490887918%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=2262148085&rft_id=info:pmid/&rfr_iscdi=true |