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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 105
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY
Edited by:
Paper 10

A Digital Pattern Methodology supporting Railway Industries in Portfolio Management

A. Balsamo1, G. Calvano1, G. Di Gironimo2, G. Frezza1, A. Lanzotti2, F. Peluso2, S. Puzelli1, C. Angelo Saviano1, P. Siani1, P. Verdosci1 and W. Tizzano1

1AnsaldoBreda Spa, Naples, Italy
2Department of Industrial Engineering, University of Naples Federico II, Italy

Full Bibliographic Reference for this paper
A. Balsamo, G. Calvano, G. Di Gironimo, G. Frezza, A. Lanzotti, F. Peluso, S. Puzelli, C. Angelo Saviano, P. Siani, P. Verdosci, W. Tizzano, "A Digital Pattern Methodology supporting Railway Industries in Portfolio Management", in , (Editors), "Proceedings of the Ninth International Conference on Engineering Computational Technology", Civil-Comp Press, Stirlingshire, UK, Paper 10, 2014. doi:10.4203/ccp.105.10
Keywords: decision support system, digital pattern, digital portfolio, bid, virtual prototyping.

Summary
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.

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