dc.contributor.author | Doufene, Abdelkrim | |
dc.contributor.author | Dauron, Alain | |
dc.contributor.author | G., Hugo G. Chalé | |
dc.contributor.author | Krob, Daniel | |
dc.date.accessioned | 2017-05-23T14:02:56Z | |
dc.date.available | 2017-05-23T14:02:56Z | |
dc.date.issued | 2014-07 | |
dc.identifier.issn | 23345837 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/109284 | |
dc.description.abstract | We present in this paper an operational analysis of a complex system following a Model Based Systems Engineering approach, illustrated by a case study on electric vehicles. We explain some strategic issues and reasons that make electric vehicles important and complex systems, and how these vehicles can significantly contribute to the European policies for sustainable development. We explain why it is necessary to apply a Systems Engineering approach to deal with the complexity of such systems, and we give an overview of the architectural design framework we follow. We present a model of the system of interest and of its environment built from the analysis of public documents and literature reviews. This allowed us to identify the key stakeholders, external interfaces, needs, use cases and operational scenarios. Based on this operational analysis, we present ways to pursue functional and trade-off analyses. | en_US |
dc.language.iso | en_US | |
dc.publisher | International Council on Systems Engineering | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1002/j.2334-5837.2014.tb03139.x | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Doufene | en_US |
dc.title | Model-Based operational analysis for complex systems - A case study for electric vehicles | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Doufene, Abdelkrim, Alain Dauron, Hugo G. Chalé G., and Daniel Krob. “2.1.1 Model-Based Operational Analysis for Complex Systems - A Case Study for Electric Vehicles.” INCOSE International Symposium 24, no. 1 (July 2014): 122–138. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Sociotechnical Systems Research Center | en_US |
dc.contributor.approver | Doufene, Abdelkrim | en_US |
dc.contributor.mitauthor | Doufene, Abdelkrim | |
dc.relation.journal | INCOSE International Symposium | en_US |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dspace.orderedauthors | Doufene, Abdelkrim; Dauron, Alain; G., Hugo G. Chalé; Krob, Daniel | en_US |
dspace.embargo.terms | N | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-7283-7924 | |
mit.license | PUBLISHER_POLICY | en_US |