The object of this paper is the development of a decision support system involved in the bidding for invitations to tender in the railway field. The proposed methodology is based on the characterization of the whole train and its components, through several attributes according to a digital pattern approach. In particular some key components were chosen such as the traction motor, the bogie and the auxiliary equipment converter. The system measures the extent to which the products offered by the company fit the one required by the customer, comparing the homologous attributes. Such analysis is called ‘adopt/adapt/innovate’ (AAI). In this way it is possible to identify products already designed that fully or partly fit what required, obtaining huge benefits in terms of effectiveness and efficiency.
A Digital Pattern Methodology supporting Railway Industries in Portfolio Management / Balsamo, A.; Calvano, G.; Di Gironimo, G.; Frezza, G.; Lanzotti, A.; Peluso, F.; Puzelli, S.; Angelo Saviano, C.; Siani, P.; Verdosci, P.; Tizzano, W.. - 105:(2014), pp. 1-15. (Intervento presentato al convegno Ninth International Conference on Engineering Computational Technology", Civil-Comp Press tenutosi a Naples, Italy nel 2-5 September, 2014) [10.4203/ccp.105.10].
A Digital Pattern Methodology supporting Railway Industries in Portfolio Management
Balsamo, A.;Di Gironimo, G.;Lanzotti, A.;Peluso, F.;
2014
Abstract
The object of this paper is the development of a decision support system involved in the bidding for invitations to tender in the railway field. The proposed methodology is based on the characterization of the whole train and its components, through several attributes according to a digital pattern approach. In particular some key components were chosen such as the traction motor, the bogie and the auxiliary equipment converter. The system measures the extent to which the products offered by the company fit the one required by the customer, comparing the homologous attributes. Such analysis is called ‘adopt/adapt/innovate’ (AAI). In this way it is possible to identify products already designed that fully or partly fit what required, obtaining huge benefits in terms of effectiveness and efficiency.File | Dimensione | Formato | |
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