Configuration knowledge modeling: How to extend configuration from assemble/make to order towards engineer to order for the bidding process

Abdourahim Sylla 1 Delphine Guillon 1, 2 Élise Vareilles 1 Michel Aldanondo 1 Thierry Coudert 3 Laurent Geneste 3
1 CGI - Centre Génie Industriel
2 Ecole Supérieure des Technologies Industrielles Avancées (ESTIA)
3 LGP - Laboratoire Génie de Production
Abstract : 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.
Keywords : Assemble/Make-to-Order Constraint satisfaction problem Knowledge-based model Configuration software Bidding process Assemble Make-to-Order Engineering-to-Order
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Abdourahim Sylla, Delphine Guillon, Élise Vareilles, Michel Aldanondo, Thierry Coudert, et al.. Configuration knowledge modeling: How to extend configuration from assemble/make to order towards engineer to order for the bidding process. Computers in Industry, Elsevier, 2018, 99, pp.29-41. ⟨10.1016/j.compind.2018.03.019⟩. ⟨hal-01832005⟩

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