Research on Selection Method of Product Configuration Program
To satisfy the customer's requirements, the linear optimization model is established. Using the Matlab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ide...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 431 |
|---|---|
| container_issue | |
| container_start_page | 430 |
| container_title | |
| container_volume | |
| creator | Sujing Song Fuyun Liu |
| description | To satisfy the customer's requirements, the linear optimization model is established. Using the Matlab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ideal Solution method is applied to configuration field to get ¿ideal product¿ of the ideal solution. The compositor of configuration programs selection is obtained based on the customer's personalized requirements after calculating the effectiveness of programs. With the analysis of the existed modules of enterprises, a method to find the most similar combination product to satisfy the customer requirements is presented. An example is given to validate the feasibility of the method. |
| doi_str_mv | 10.1109/SKG.2009.13 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5370327</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5370327</ieee_id><sourcerecordid>5370327</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-737a1dfb7c8a302f2191774e091ec154b465852e7a3805aa8cff8ee7903ebacc3</originalsourceid><addsrcrecordid>eNotjEFLw0AQRhdEUGtPHr3kDyTO7GYzuwcPErSKFcUqeCuTzWwbaRvZpAf_vUU9fY_34FPqAqFABH-1eJwVGsAXaI7UGVDlrXEIHydqOgyfAIC-Iq2rU3X9KoNwCuus32UL2UgYuwM9ybju26yP2Uvq230Ys7rfxW61T_zbD3aVeHuujiNvBpn-70S9392-1ff5_Hn2UN_M8w7JjjkZYmxjQ8GxAR01eiQqBTxKQFs2ZWWd1UJsHFhmF2J0IuTBSMMhmIm6_PvtRGT5lbotp--lNQRGk_kBmuZFaQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Research on Selection Method of Product Configuration Program</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Sujing Song ; Fuyun Liu</creator><creatorcontrib>Sujing Song ; Fuyun Liu</creatorcontrib><description>To satisfy the customer's requirements, the linear optimization model is established. Using the Matlab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ideal Solution method is applied to configuration field to get ¿ideal product¿ of the ideal solution. The compositor of configuration programs selection is obtained based on the customer's personalized requirements after calculating the effectiveness of programs. With the analysis of the existed modules of enterprises, a method to find the most similar combination product to satisfy the customer requirements is presented. An example is given to validate the feasibility of the method.</description><identifier>ISBN: 076953810X</identifier><identifier>ISBN: 9780769538105</identifier><identifier>DOI: 10.1109/SKG.2009.13</identifier><language>eng</language><publisher>IEEE</publisher><subject>Constraint optimization ; Cost function ; Decision making ; effectiveness ; Knowledge engineering ; linear optimization model ; Mass customization ; Mass production ; Mathematical model ; normalization ; Optimization methods ; Vectors</subject><ispartof>2009 Fifth International Conference on Semantics, Knowledge and Grid, 2009, p.430-431</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5370327$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5370327$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sujing Song</creatorcontrib><creatorcontrib>Fuyun Liu</creatorcontrib><title>Research on Selection Method of Product Configuration Program</title><title>2009 Fifth International Conference on Semantics, Knowledge and Grid</title><addtitle>SKG</addtitle><description>To satisfy the customer's requirements, the linear optimization model is established. Using the Matlab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ideal Solution method is applied to configuration field to get ¿ideal product¿ of the ideal solution. The compositor of configuration programs selection is obtained based on the customer's personalized requirements after calculating the effectiveness of programs. With the analysis of the existed modules of enterprises, a method to find the most similar combination product to satisfy the customer requirements is presented. An example is given to validate the feasibility of the method.</description><subject>Constraint optimization</subject><subject>Cost function</subject><subject>Decision making</subject><subject>effectiveness</subject><subject>Knowledge engineering</subject><subject>linear optimization model</subject><subject>Mass customization</subject><subject>Mass production</subject><subject>Mathematical model</subject><subject>normalization</subject><subject>Optimization methods</subject><subject>Vectors</subject><isbn>076953810X</isbn><isbn>9780769538105</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjEFLw0AQRhdEUGtPHr3kDyTO7GYzuwcPErSKFcUqeCuTzWwbaRvZpAf_vUU9fY_34FPqAqFABH-1eJwVGsAXaI7UGVDlrXEIHydqOgyfAIC-Iq2rU3X9KoNwCuus32UL2UgYuwM9ybju26yP2Uvq230Ys7rfxW61T_zbD3aVeHuujiNvBpn-70S9392-1ff5_Hn2UN_M8w7JjjkZYmxjQ8GxAR01eiQqBTxKQFs2ZWWd1UJsHFhmF2J0IuTBSMMhmIm6_PvtRGT5lbotp--lNQRGk_kBmuZFaQ</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Sujing Song</creator><creator>Fuyun Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200910</creationdate><title>Research on Selection Method of Product Configuration Program</title><author>Sujing Song ; Fuyun Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-737a1dfb7c8a302f2191774e091ec154b465852e7a3805aa8cff8ee7903ebacc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Constraint optimization</topic><topic>Cost function</topic><topic>Decision making</topic><topic>effectiveness</topic><topic>Knowledge engineering</topic><topic>linear optimization model</topic><topic>Mass customization</topic><topic>Mass production</topic><topic>Mathematical model</topic><topic>normalization</topic><topic>Optimization methods</topic><topic>Vectors</topic><toplevel>online_resources</toplevel><creatorcontrib>Sujing Song</creatorcontrib><creatorcontrib>Fuyun Liu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sujing Song</au><au>Fuyun Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Research on Selection Method of Product Configuration Program</atitle><btitle>2009 Fifth International Conference on Semantics, Knowledge and Grid</btitle><stitle>SKG</stitle><date>2009-10</date><risdate>2009</risdate><spage>430</spage><epage>431</epage><pages>430-431</pages><isbn>076953810X</isbn><isbn>9780769538105</isbn><abstract>To satisfy the customer's requirements, the linear optimization model is established. Using the Matlab as the optimized tool, the optimized solutions are obtained. A universal normalization method is chosen to normalize the binary vectors. The Technique for Order Preference by Similarity to Ideal Solution method is applied to configuration field to get ¿ideal product¿ of the ideal solution. The compositor of configuration programs selection is obtained based on the customer's personalized requirements after calculating the effectiveness of programs. With the analysis of the existed modules of enterprises, a method to find the most similar combination product to satisfy the customer requirements is presented. An example is given to validate the feasibility of the method.</abstract><pub>IEEE</pub><doi>10.1109/SKG.2009.13</doi><tpages>2</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 076953810X |
| ispartof | 2009 Fifth International Conference on Semantics, Knowledge and Grid, 2009, p.430-431 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5370327 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Constraint optimization Cost function Decision making effectiveness Knowledge engineering linear optimization model Mass customization Mass production Mathematical model normalization Optimization methods Vectors |
| title | Research on Selection Method of Product Configuration Program |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T10%3A47%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Research%20on%20Selection%20Method%20of%20Product%20Configuration%20Program&rft.btitle=2009%20Fifth%20International%20Conference%20on%20Semantics,%20Knowledge%20and%20Grid&rft.au=Sujing%20Song&rft.date=2009-10&rft.spage=430&rft.epage=431&rft.pages=430-431&rft.isbn=076953810X&rft.isbn_list=9780769538105&rft_id=info:doi/10.1109/SKG.2009.13&rft_dat=%3Cieee_6IE%3E5370327%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5370327&rfr_iscdi=true |