ETO Bid solutions definition and selection using configuration models and a multi-criteria approach

Abdourahim Sylla (1, 2) , Élise Vareilles (1) , Thierry Coudert (2) , Michel Aldanondo (1) , Laurent Geneste (2) , Yvan Beauregard (3)

1 CGI - Centre Génie Industriel
2 LGP - Laboratoire Génie de Production
3 ETS - Ecole de Technologie Supérieure [Montréal]

In a bidding process, bidders have to define and estimate potential bid solutions relevant to the customer’s requirements. Afterward, based on several criteria (e.g. cost, due date), they have to select the most interesting solution to be sent as an offer to the customer. However, the lack of complete and accurate information makes the estimation imprecise and uncertain. In this paper, an approach is proposed to support the definition and the estimation of the potential Engineering To Order (ETO) technical bid solutions and the selection of the most interesting ones. The definition and the estimation of the potential bid solutions is supported by a new knowledge-based configuration model whereas the selection of the most interesting solutions is supported by a new multi-criteria decision making approach that takes into account uncertainties and imprecisions.

Keywords: uncertainty and imprecision; multi-criteria decision making; constraint satisfaction problem; Configuration of ETO technical bid solutions

Domains: Engineering Sciences [physics]

Abdourahim Sylla, Élise Vareilles, Thierry Coudert, Michel Aldanondo, Laurent Geneste, et al.. ETO Bid solutions definition and selection using configuration models and a multi-criteria approach. IEEM 2017 - 2017 IEEE International Conference on Industrial Engineering & Engineering Management, IEEE, Dec 2017, Singapore, Singapore. pp.1833-1837. ⟨hal-01730172⟩