A social network of collaborating industrial assets

Abstract

The IoT (Internet of Things) concept is being widely regarded as the fundamental tool of the next industrial revolution-Industry 4.0. As the value of data generated in social networks has been increasingly recognised, Social Media and the Internet of Things have been integrated in areas such as product-design, traffic routing, etc.. However, the potential of this integration in improving system-level performance in industrial environments has rarely been explored. This paper discusses the feasibility of improving system-level performance in industrial systems by integrating Social Networks into the IoT concept. We propose the concept of a Social Internet of Industrial Assets (SIoIA) which enables the collaboration between assets by sharing status data. We also identify the building blocks of SIoIA and characteristics of one of its important components-Social Assets. A sketch of the general architecture needed to enable a Social Network of Collaborating Industrial Assets is proposed and two illustrative application examples are given.

Quality 4.0: literature review analysis, definition and impacts of the digital transformation process on quality

“…These cyber-physical systems allow improved connectivity and integration, helping to foster superior performance. Examples include fostering information access; facilitating the openness of processes; encouraging stakeholder interaction and bringing their contributions to the development process and supporting data sharing to avoid or minimize risks (Jacob, 2017; Sader et al , 2017; Li et al , 2018; Armani et al , 2021).…”

“…These cyber-physical systems allow improved connectivity and integration, helping to foster superior performance. Examples include fostering information access; facilitating the openness of processes; encouraging stakeholder interaction and bringing their contributions to the development process and supporting data sharing to avoid or minimize risks (Jacob, 2017;Sader et al, 2017;Li et al, 2018;Armani et al, 2021). Armani et al (2021) argue that connectivity is an essential dimension of Quality 4.0, allowing superior organization performance throughout the value chain by knowledge exchange, collective decision-making and collaborative problem solving.…”

Advances in Production Management Systems: Issues, Trends, and Vision Towards 2030

“…In this sense, proactive intelligent products or assets refer to those smart, connected entities capable of using Just-In-Time (JIT) information to anticipate and automate relevant tasks for themselves or their operators or users [11]. Whereas socially intelligent products or assets refer to those smart, connected entities capable of (i) sharing status information, context-aware capabilities, and cooperative initiatives, and (ii) cooperating via a social network to achieve a common or compatible goal [12]. Therefore, circular lifecycle management of products or assets refers to a strategy focused on gathering and analysing the data of a product or asset from the perspective of enabling and supporting its circular systems [13][14][15].…”

Multi-agent system architectures for collaborative prognostics

“…In the Internet of Things, a network of connected devices gather and share information about their surroundings (Atzori et al 2010;McFarlane 2018). In the industrial context, this is referred to as the Industrial Internet of Things (IIoT) (Gilchrist 2016;Li et al 2018), a paradigm that together with improvements in regression techniques and computing power is set to revolutionize the field of prognostics. In the IIoT, data gathered through sensors embedded in the machines can be leveraged to perform real-time failure detection and prediction for machines in a machine fleet, thus B Adrià Salvador Palau as2636@cam.ac.uk 1 Department of Engineering, Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK significantly reducing maintenance cost and machine downtime (Li et al 2018;Ning 2016).…”