Abstract : The key idea of this work, is to use risk assessment
to support the user in deciding which service should be used, from a set
of services developed to support life-cycle optimization, in a specific
situation. The risk of a specific situation affecting an industrial
plant, characterized by the symptoms, is estimated from the information
stored on the system concerning the probability of occurrence of the
consequence and its impact. It is expected that this knowledge grows
along the life-cycle of a industrial plant. Then, depending of the
knowledge available and on the risk of the situation, the adequate
service is suggested for promptly reaction in eliminating the problem or
avoiding critical situations.
Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.111-120, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_12〉
https://hal.inria.fr/hal-01060794
Contributeur : Hal Ifip
<>
Soumis le : vendredi 24 novembre 2017 - 15:14:17
Dernière modification le : mardi 28 novembre 2017 - 14:05:49
Maria Marques, Rui Neves-Silva. Decision Support for Life-Cycle Optimization
Using Risk Assessment. Luis M. Camarinha-Matos; Pedro Pereira; Luis Ribeiro. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-314, pp.111-120, 2010, Emerging Trends in Technological Innovation. 〈10.1007/978-3-642-11628-5_12〉. 〈hal-01060794〉
