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An Enterprise Operating System for the Sensing, Smart, and Sustainable Enterprise
Author(s) -
Dante Chavarría-Barrientos,
D. Chen,
Rafael Funes,
Arturo Molina,
François Vernadat
Publication year - 2017
Publication title -
ifac-papersonline
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 72
eISSN - 2405-8971
pISSN - 2405-8963
DOI - 10.1016/j.ifacol.2017.08.2004
Subject(s) - enterprise systems engineering , enterprise integration , viewpoints , enterprise information system , enterprise software , enterprise life cycle , computer science , enterprise planning system , enterprise modelling , enterprise architecture , integrated enterprise modeling , context (archaeology) , process (computing) , enterprise application integration , process management , enterprise system , reference model , knowledge management , business , software engineering , visual arts , operating system , art , paleontology , biology , architecture
To be competitive in the digital era, enterprises need to become sensing to be aware of their context, smart in taking decisions, and sustainable regarding social, environmental, and economic issues. Reference models can guide the enterprise engineering process in such direction. However, the implementation of the enterprise models, generated with reference models, depends on the integration of enterprise resources, which is not always possible due to the diversity of tools and applications needed within each business process. This paper proposes an Enterprise Operating System (EOS) to effectively handle the execution of enterprise models by integrating a diversity of functionalities. The goal of an EOS is to manage the resources (i.e. humans, applications, and machines) of an enterprise to fulfil its operations. The Sensing, Smart, and Sustainable Enterprise Reference Model (S3E-RM) is proposed to guide the implementation of the EOS. This reference model uses the viewpoints defined in the Reference Model of Open Distributed Processing (RM-ODP), i.e. enterprise, information, computation, engineering, and technology viewpoints. The EOS presented has been successfully applied in more than 27 industry sectors, including government.

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