Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0

Abstract

<jats:p>Revolutionizing logistics and supply chain management in smart manufacturing is one of the main goals of the Industry 4.0 movement. Emerging technologies such as autonomous vehicles, Cyber-Physical Systems and digital twins enable highly automated and optimized solutions in these fields to achieve full traceability of individual products. Tracking various assets within shop-floors and the warehouse is a focal point of asset management; its aim is to enhance the efficiency of logistical tasks. Global players implement their own solutions based on the state of the art technologies. Small and medium companies, however, are still skeptic toward identification based tracking methods, because of the lack of low-cost and reliable solutions. This paper presents a novel, working, reliable, low-cost, scalable solution for asset tracking, supporting global asset management for Industry4.0. The solution uses high accuracy indoor positioning—based on Ultra-Wideband (UWB) radio technology—combined with RFID-based tracking features. Identifying assets is one of the most challenging parts of this work, so this paper focuses on how different identification approaches can be combined to facilitate an efficient and reliable identification scheme.</jats:p>

Automatic Identification of Tool Wear Based on Thermography and a Convolutional Neural Network during the Turning Process

“…A new technological era, called Industry 4.0, will change all manufacturing-related fields [ 1 ]. The industrial and production processes will be transformed into intelligent factory systems [ 2 ].…”

Process Automation in an IoT–Fog–Cloud Ecosystem: A Survey and Taxonomy

“…Corotinschi and Gȃitan [2] show that the evolution of industrial production has occurred in four stages culminating in the IoT: (1) mechanization and the invention of the steam engine and water power, (2) mass production and assembly lines, (3) the computer and automation processing, (4) the Internet of Things (IoT), (5) the collaboration between man and machine in industry and robotic tasks conversion. These stages are referred to as Industry 1.0, Industry 2.0, Industry 3.0, Industry 4.0, and Industry 5.0.…”

“…In addition to management, advanced computation, and intelligent decision making, IoT will provide us with control over the entirety of any process, such as the life cycle of products. Frankó et al [4] depicts an example of industry 4.0 in supply chain management and asset monitoring. Massaro and Galiano [5] demonstrates another example of industry 4.0 in the optimization of pasta line production.…”

Controlling an Industrial Robot Using a Graphic Tablet in Offline and Online Mode

“…The qualitative leap that accompanies the fourth industrial revolution results in humans and machines co-creating a production system [ 15 ]. In this system, various components can be distinguished: Incremental manufacturing (3D printing)—used to produce complete products [ 16 , 17 , 18 ], systems integration—the flow of data and control signals between machines, information systems, people and management systems [ 19 , 20 , 21 , 22 ], Industrial Internet of Things (IIoT)—the unified integration of statuary and management systems [ 23 , 24 ], Cloud computing—making external hardware and software resources available to process production data and perform complex calculations for the production process itself as well as for management systems [ 25 , 26 , 27 ], big data analysis (Big Data)—i.e., the use of large computing powers to collect, store and analyze large amounts of data [ 28 , 29 ], augmented and virtual reality (AR and VR) [ 30 , 31 , 32 ]—technologies that are proposing to move industry to virtual and augmented reality, Cyber security—which plays a huge role in cloud computing and analyzing large data sets on external servers [ 33 , 34 ]. …”

“…systems integration—the flow of data and control signals between machines, information systems, people and management systems [ 19 , 20 , 21 , 22 ],…”