Abstract
Logic and many-valuedness as proposed in this paper enables to describe underlying logical structures of information as represented within industrial processes, and as part of their respective markets. We underlines the importance of introducing classification structures in order to enable management of information granularity within and across subsystems in aa system-of-systems. The logic of information and process is a main contribution of this paper, and our illumination of a system-of-systems is drawn within the field of energy. In our process view we look closer into the power market with all its stakeholders, and e.g. as related to renewable energy. Supply, demand and pricing models are shown to become subjected to logical considerations. In our approach we show how information and their structures are integrated into processes and their structures. Information structures build upon our many-valued logic modelling, and for process modelling we adopt the BPMN (Business Process Modeling Notation) paradigm.
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Acknowledgements
This work is partly supported by the WindCoE (Nordic Wind Energy Centre), a competence centre within wind power. WindCoe is funded within Interreg IVA (European Cross-Border cooperation) Botnia-Atlantica, as part of European Territorial Cooperation (ETC). ETC provides a framework for the implementation of joint actions and policy exchanges between national, regional and local actors from different European Member States.
This work is partly supported by the Logic in Manufacturing (LiM) project, funded by the Swedish Innovation Agency (VINNOVA) PRODUKTION2030 programme.
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Eklund, P., Johansson, M., Kortelainen, J. (2018). The Logic of Information and Processes in System-of-Systems Applications . In: Collan, M., Kacprzyk, J. (eds) Soft Computing Applications for Group Decision-making and Consensus Modeling. Studies in Fuzziness and Soft Computing, vol 357. Springer, Cham. https://doi.org/10.1007/978-3-319-60207-3_6
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