14 research outputs found
Production Process Modelling Architecture to Support Improved Cyber-Physical Production Systems
With the proliferation of intelligent networks in industrial environments, manufacturing SME’s have been in a continuous search for integrating and retrofitting existing assets with modern technologies that could provide low-cost solutions for optimizations in their production processes. Their willingness to support a technological evolution is firmly based on the perception that, in the future, better tools will guarantee process control, surveillance and maintenance. For this to happen, the digitalization of valuable and extractable information must be held in a cost-effective manner, through contemporary approaches such as IoT, creating the required fluidity between hardware and software, for implementing Cyber-Physical modules in the manufacturing process. The goal of this work is to develop an architecture that will support companies to digitize their machines and processes through an MDA approach, by modeling their production processes and physical resources, and transforming into an implementation model, using contemporary CPS and IoT concepts, to be continuously improved using forecasting/predictive algorithms and analytics.authorsversionpublishe
SME Requirements and Guidelines for the Design of Smart and Highly Adaptable Manufacturing Systems
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A Meta-Model of Cyber-Physical-Social System: The CPSS paradigm to support Human-Machine collaboration in Industry 4.0
International audienceThe 4 th industrial revolution (Industry 4.0) heavily relying on the concept of Cyber-Physical Systems (CPS) has transformed the manufacturing industry into an intelligent environment. Advances in manufacturing and automation industries created hyper-connected industrial ecosystems that are not limited to smart production but also facilitate organizational integration. Hence, fostering the creation of collaborative, networked and intelligent industries. One of the emerging advances in the digital transformation of industries is the creation of environments where humans work in close collaboration with sensor enabled smart machines and robots. Particularly the close involvement of humans in such smart environments challenges system designed methodologies mainly because human aspects are not considered in CPS design frameworks. In this paper, we present an approach to support this aspect of Industry 4.0 taking a Cyber-Physical-Social System (CPSS) paradigm to incorporate human aspects with the existing notion of CPS. We propose a meta-model of CPSS that can serve as a framework to design systems involving human and CPS collaboration