Configuration knowledge modeling: How to extend configuration from assemble/make to order towards engineer to order for the bidding process
| Autor: | Thierry Coudert, Abdourahim Sylla, Élise Vareilles, Laurent Geneste, Delphine Guillon, Michel Aldanondo |
|---|---|
| Přispěvatelé: | Ecole Supérieure des Technologies Industrielles Avancées - ESTIA (FRANCE), Ecole nationale supérieure des Mines d'Albi-Carmaux - IMT Mines Albi (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Armines (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Centre Génie Industriel (CGI), IMT École nationale supérieure des Mines d'Albi-Carmaux (IMT Mines Albi), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Ecole Supérieure des Technologies Industrielles Avancées (ESTIA), Laboratoire Génie de Production (LGP), Ecole Nationale d'Ingénieurs de Tarbes |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
[SPI.OTHER]Engineering Sciences [physics]/Other
0209 industrial biotechnology General Computer Science Computer science Build to order media_common.quotation_subject Constraint satisfaction problem Context (language use) 02 engineering and technology Personalization Assemble/Make-to-Order Knowledge modeling 020901 industrial engineering & automation Software Knowledge-based model 0202 electrical engineering electronic engineering information engineering Quality (business) media_common Bidding process business.industry General Engineering Bidding Configuration software Modélisation et simulation [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Industrial engineering Engineering-to-Order 020201 artificial intelligence & image processing business Assemble Make-to-Order |
| Zdroj: | Computers in Industry Computers in Industry, Elsevier, 2018, 99, pp.29-41. ⟨10.1016/j.compind.2018.03.019⟩ |
| ISSN: | 0166-3615 |
| DOI: | 10.1016/j.compind.2018.03.019⟩ |
| Popis: | International audience; The bidding process is one of the most important phases for system contractors. A successful bid implies defining and implementing attractive and realistic systems solutions that fulfil customer expectations. An additional challenge arises with the increase in systems diversity resulting from growing customization needs. As a result, for standard customizing offers, bidders find good quality support with configuration software for assemble/make-to-order situations. But when requirements exceed the standard offers, bidders need extended support to fulfil Engineering-to-Order requirements. In this context, this article shows how configuration knowledge models, which support configuration in assemble/make-to-order situations (AMTO), can be extended and used in engineer-to-order situations (ETO). Modeling is achieved assuming that the configuration problem is considered as a constraint satisfaction problem. Six key requirements that differentiate ETO from AMTO are identified and modeling extensions are proposed and discussed. An example illustrates all the contributions. |
| Databáze: | OpenAIRE |
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