Abstract
The industrial process continues its evolution based on the growing technological advances, which provide improvements in production and the satisfaction of environmental needs. The more recent evolution is known as the Industry 4.0 paradigm. In this context, organizations have seen the need to create digital ecosystems and alliances as a competitive strategy. However, there are many aspects to overcome in order to achieve an effective collaboration between organizations with different functions. Some of them are about how to establish collaborative processes, how to identify the possibilities of the contribution of each company, and how to establish functions, responsibilities, and the optimal coordination between them. In light of this situation, we propose a collaborative model for integrating organizations, based on Autonomous Cycles of Data Analysis Tasks, which are self-adaptive to satisfy the changing customer’s needs. All this will be made possible by making intensive use of “Everything mining”, and new technologies.
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Lopez, CP., Santórum, M., Aguilar, J. (2019). Autonomous Cycles of Collaborative Processes for Integration Based on Industry 4.0. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_18
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DOI: https://doi.org/10.1007/978-3-030-11890-7_18
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