Abstract
The Industry 4.0 concept inception definitively provided a disruptive glimpse in terms of possibilities in a multidisciplinary spectrum. The convergence and synergy from technologies generated quite high expectations. In terms of advancements, the efficiency increase is one of the key factors. Smart factories must be capable of producing more and in an ecologically cleaner manner, by benefiting from less environmentally impacting energy sources. The present moment is for digital transformation in the diverse enabling transverse areas. For that to be feasible, the next steps are towards standardization, which brings viability to expand and integrate the assorted devices and processes, bringing intelligence closer to all the involved equipment by capitalization. The gap that this research aims to explore is in the assessment of the ongoing industries, focusing on the current status of the operational plants technologically. In other words, by mapping the present, as-is, situation, the stakeholders obtain a valuable guidance resource to go through the journey upon permeating the Industry 4.0 status, the greater objective. Undoubtedly, a path of considerable length, but with well-proportioned outcomes. The solution’s ambition is to rate, grade, and calculate the readiness and maturity levels of the institution accordingly to that scope. To achieve that, methods will be developed and applied to gather information and subsequently threaten it. Finally, the results will be confronted versus the fourth industrial revolution preconized capabilities, as defined by the Rami 4.0 Reference Architecture Model. Having presented the information, there is a possibility to establish a road-map to achieve the desired level.
Highlights
T HE industrial current stage has its core mainly related to cyber-physical systems, where a contextualization of intelligent manufacturing [1] through several technologies such as artificial intelligence, machine learning, cloud computing, fog computing, industrial internet of things, web of things, big data, collaborative robots, autonomous robots, and block chain technology
Despite the variety broadness of exploration, by the time the search was executed on the selected digital academical libraries (ACM, IEEExplore, Science Direct (Elsevier) and Springer Link), only a quite very limited count of studies can be considered analogous or close to the spectrum which this study aims, being them related to architecture, technologies and challenges for cyber-physical systems in industry 4.0 [14], interoperability in IoT [15] and [16], the mapping on modelling languages [17], and in a sense of the infrastructure technologies, the survey in an analytic approach [18] and the analysis framework by Boyes et Al [19]
The 24 represents points that are related to multiple axis/subaxis obtained by the questionnaire application, which is referenced as the Common Ground Readiness, and its readiness degree according to the proposed assessment method
Summary
T HE industrial current stage has its core mainly related to cyber-physical systems, where a contextualization of intelligent manufacturing [1] through several technologies such as artificial intelligence, machine learning, cloud computing, fog computing, industrial internet of things, web of things, big data, collaborative robots, autonomous robots, and block chain technology. With all the simultaneous technological events, it is enlightened the necessity to evaluate the present institution’s situation with accuracy Acting on it is a very time sensitive matter, that ought to be taken with celerity. The reason being, it might just mean the necessary competitive advantage to be ahead of the rivals
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