Speeding up Derivative Configuration from Product Platforms
To compete in the global marketplace, manufacturers try to differentiate their products by focusing on individual customer needs. Fulfilling this goal requires that companies shift from mass production to mass customization. Under this approach, a generic architecture, named product platform, is des...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-06-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/16/6/3329 |
| _version_ | 1811280658134204416 |
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| author | Ruben Heradio David Fernandez-Amoros Hector Perez-Morago Antonio Adan |
| author_facet | Ruben Heradio David Fernandez-Amoros Hector Perez-Morago Antonio Adan |
| author_sort | Ruben Heradio |
| collection | DOAJ |
| description | To compete in the global marketplace, manufacturers try to differentiate their products by focusing on individual customer needs. Fulfilling this goal requires that companies shift from mass production to mass customization. Under this approach, a generic architecture, named product platform, is designed to support the derivation of customized products through a configuration process that determines which components the product comprises. When a customer configures a derivative, typically not every combination of available components is valid. To guarantee that all dependencies and incompatibilities among the derivative constituent components are satisfied, automated configurators are used. Flexible product platforms provide a big number of interrelated components, and so, the configuration of all, but trivial, derivatives involves considerable effort to select which components the derivative should include. Our approach alleviates that effort by speeding up the derivative configuration using a heuristic based on the information theory concept of entropy. |
| first_indexed | 2024-04-13T01:18:41Z |
| format | Article |
| id | doaj.art-655f86b0aa4d4a10b9f59e0646428721 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-13T01:18:41Z |
| publishDate | 2014-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-655f86b0aa4d4a10b9f59e06464287212022-12-22T03:08:49ZengMDPI AGEntropy1099-43002014-06-011663329335610.3390/e16063329e16063329Speeding up Derivative Configuration from Product PlatformsRuben Heradio0David Fernandez-Amoros1Hector Perez-Morago2Antonio Adan3ETSI Informatica, Universidad Nacional de Educacion a Distancia, Juan del Rosal 16, 28040 Madrid,SpainETSI Informatica, Universidad Nacional de Educacion a Distancia, Juan del Rosal 16, 28040 Madrid,SpainETSI Informatica, Universidad Nacional de Educacion a Distancia, Juan del Rosal 16, 28040 Madrid,SpainDepartment of Electrical, Electronic and Control Engineering, Universidad de Castilla La Mancha, Ronda de Calatrava 5, 13071 Ciudad Real, SpainTo compete in the global marketplace, manufacturers try to differentiate their products by focusing on individual customer needs. Fulfilling this goal requires that companies shift from mass production to mass customization. Under this approach, a generic architecture, named product platform, is designed to support the derivation of customized products through a configuration process that determines which components the product comprises. When a customer configures a derivative, typically not every combination of available components is valid. To guarantee that all dependencies and incompatibilities among the derivative constituent components are satisfied, automated configurators are used. Flexible product platforms provide a big number of interrelated components, and so, the configuration of all, but trivial, derivatives involves considerable effort to select which components the derivative should include. Our approach alleviates that effort by speeding up the derivative configuration using a heuristic based on the information theory concept of entropy.http://www.mdpi.com/1099-4300/16/6/3329entropy-based heuristicmass customizationproduct configurationsoftware product linefeature model |
| spellingShingle | Ruben Heradio David Fernandez-Amoros Hector Perez-Morago Antonio Adan Speeding up Derivative Configuration from Product Platforms Entropy entropy-based heuristic mass customization product configuration software product line feature model |
| title | Speeding up Derivative Configuration from Product Platforms |
| title_full | Speeding up Derivative Configuration from Product Platforms |
| title_fullStr | Speeding up Derivative Configuration from Product Platforms |
| title_full_unstemmed | Speeding up Derivative Configuration from Product Platforms |
| title_short | Speeding up Derivative Configuration from Product Platforms |
| title_sort | speeding up derivative configuration from product platforms |
| topic | entropy-based heuristic mass customization product configuration software product line feature model |
| url | http://www.mdpi.com/1099-4300/16/6/3329 |
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