Abstract

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Highlights

  • Physical Systems to AcquireIndustry 4.0 is the recent revolution of the industrial environment

  • To highlight the importance of this real-time information, this paper shows a case study in a Cyber Physical System, which is able to acquire the diary energy consumption per tool and to show it to the users

  • Our case study has been implemented in a Cyber Physical Systems (CPS), whose physical system consists of a five-axis vertical milling machine (HAAS VF-3); two of these 5 axes were added by the incorporation of a Trunnion 160 double-cradle-table

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Summary

Introduction

Industry 4.0 is the recent revolution of the industrial environment This revolution merges the Internet, and information and communication technologies (ICT) with traditional manufacturing processes [1]. The aim of Industry 4.0 is the development of smart factories through the digitalization of manufacturing and assembly process [2]. Phys ical Systems (CPS) stand out from the other technologies of Industry 4.0 due to their high levels of control, surveillance, transparency, and efficiency in production process [3]. CPS can be defined as the integration between computation and physical processes [4]. This incan be used to develop KPIs based on energy efficiency, which are increasing their imtegration allows real-time acquisition

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