A scalable product configuration model and algorithm
The application of product configuration model is an effective way to improve product design and manufacturing efficiency. The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a...
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| Veröffentlicht in: | Cluster computing 2019-05, Vol.22 (Suppl 3), p.6405-6415 |
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| creator | Qiao, Hu Feng, Fan Qi, Jianyao Xiang, Ying |
| description | The application of product configuration model is an effective way to improve product design and manufacturing efficiency. The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a scalable product configuration model is established based on polychromatic sets theory and corresponding algorithm is proposed. Firstly, product modules are clustered according to function types to establish function block, which is the solving unit of product configuration model. At the same time, multilayer polychromatic set contour-comprising matrices are respectively established from the point of view of needs, product, performance and module. According to actual demand of product configuration, the unified color reasoning algorithm is proposed. And scalable product configuration model and algorithm are proposed based on relative works. Then, the scalability of proposed model is studied from the point of view of needs change and modules change. Finally, the configuration of a special vehicle is introduced to verify the presented model and algorithm, and the results confirmed the effectiveness and rationality of the method. |
| doi_str_mv | 10.1007/s10586-018-2146-7 |
| format | Article |
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The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a scalable product configuration model is established based on polychromatic sets theory and corresponding algorithm is proposed. Firstly, product modules are clustered according to function types to establish function block, which is the solving unit of product configuration model. At the same time, multilayer polychromatic set contour-comprising matrices are respectively established from the point of view of needs, product, performance and module. According to actual demand of product configuration, the unified color reasoning algorithm is proposed. And scalable product configuration model and algorithm are proposed based on relative works. Then, the scalability of proposed model is studied from the point of view of needs change and modules change. Finally, the configuration of a special vehicle is introduced to verify the presented model and algorithm, and the results confirmed the effectiveness and rationality of the method.</description><identifier>ISSN: 1386-7857</identifier><identifier>EISSN: 1573-7543</identifier><identifier>DOI: 10.1007/s10586-018-2146-7</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Algorithms ; Boolean ; Computer Communication Networks ; Computer Science ; Configurations ; Efficiency ; Integer programming ; Libraries ; Mathematical models ; Modules ; Multilayers ; Operating Systems ; Performance evaluation ; Processor Architectures ; Product design ; Set theory</subject><ispartof>Cluster computing, 2019-05, Vol.22 (Suppl 3), p.6405-6415</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2018.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c268t-e9b878dec1f74625db4107989dbd68f21fbb43a2d189fee9e2712dc74eee20703</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/s10586-018-2146-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918230370?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Qiao, Hu</creatorcontrib><creatorcontrib>Feng, Fan</creatorcontrib><creatorcontrib>Qi, Jianyao</creatorcontrib><creatorcontrib>Xiang, Ying</creatorcontrib><title>A scalable product configuration model and algorithm</title><title>Cluster computing</title><addtitle>Cluster Comput</addtitle><description>The application of product configuration model is an effective way to improve product design and manufacturing efficiency. The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a scalable product configuration model is established based on polychromatic sets theory and corresponding algorithm is proposed. Firstly, product modules are clustered according to function types to establish function block, which is the solving unit of product configuration model. At the same time, multilayer polychromatic set contour-comprising matrices are respectively established from the point of view of needs, product, performance and module. According to actual demand of product configuration, the unified color reasoning algorithm is proposed. And scalable product configuration model and algorithm are proposed based on relative works. Then, the scalability of proposed model is studied from the point of view of needs change and modules change. Finally, the configuration of a special vehicle is introduced to verify the presented model and algorithm, and the results confirmed the effectiveness and rationality of the method.</description><subject>Algorithms</subject><subject>Boolean</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Configurations</subject><subject>Efficiency</subject><subject>Integer programming</subject><subject>Libraries</subject><subject>Mathematical models</subject><subject>Modules</subject><subject>Multilayers</subject><subject>Operating Systems</subject><subject>Performance evaluation</subject><subject>Processor Architectures</subject><subject>Product design</subject><subject>Set theory</subject><issn>1386-7857</issn><issn>1573-7543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEtPwzAQhC0EEqXwA7hF4mzwK1n7WFVAkSpxgbPl-FFSpXGxkwP_HpcgceK0K-3M7OhD6JaSe0oIPGRKatlgQiVmVDQYztCC1sAx1IKfl52XK8gaLtFVzntCiAKmFkisqmxNb9reV8cU3WTHysYhdLspmbGLQ3WIzveVGVxl-l1M3fhxuEYXwfTZ3_zOJXp_enxbb_D29fllvdpiyxo5Yq9aCdJ5SwOIhtWuFZSAksq1rpGB0dC2ghvmqFTBe-UZUOYsCO89I0D4Et3NuaXZ5-TzqPdxSkN5qZmiknHCf1R0VtkUc04-6GPqDiZ9aUr0CY6e4egCR5_gaCgeNnty0Q47n_6S_zd9A1CVZpU</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Qiao, Hu</creator><creator>Feng, Fan</creator><creator>Qi, Jianyao</creator><creator>Xiang, Ying</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20190501</creationdate><title>A scalable product configuration model and algorithm</title><author>Qiao, Hu ; 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The traditional product configuration model has a single configuration result, and the configuration model is difficult to be expanded. In order to solve the existing problem, a scalable product configuration model is established based on polychromatic sets theory and corresponding algorithm is proposed. Firstly, product modules are clustered according to function types to establish function block, which is the solving unit of product configuration model. At the same time, multilayer polychromatic set contour-comprising matrices are respectively established from the point of view of needs, product, performance and module. According to actual demand of product configuration, the unified color reasoning algorithm is proposed. And scalable product configuration model and algorithm are proposed based on relative works. Then, the scalability of proposed model is studied from the point of view of needs change and modules change. 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| source | SpringerNature Journals; ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Algorithms Boolean Computer Communication Networks Computer Science Configurations Efficiency Integer programming Libraries Mathematical models Modules Multilayers Operating Systems Performance evaluation Processor Architectures Product design Set theory |
| title | A scalable product configuration model and algorithm |
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