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Data analytics plays one of the key roles in building intelligent systems, which bring automation to the new level of safety, reliability and efficiency, at the same time lowering the perceived complexity for the user. In this paper, we present the goals of data analytics in manufacturing and illustrate several application scenarios we have successfully worked on at Reifenhäuser REICOFIL GmbH &...
Simulation is a tool offering several advantages in the field of automated manufacturing systems, permitting their analysis and evaluation overcoming complexity, cost, scaling, risk, and timing issues. Gamification technologies may complement limitations of conventional engineering systems towards a more natural human way of working. A gaming platform is utilized for the purpose of building an industrial...
To test the control code of an automated manufacturing system, virtual commissioning (VC) can be employed: the binary input and output signals of the controller (usually a Programmable Logic Controller, PLC) are connected with a simulation model of the plant. To resemble the physical behavior of the plant and of the sensors and actuators, the simulation model is usually a mixed continuous/discrete...
The Internet of Things (IoT) and its infrastructures for ubiquitous, grid and cloud computing map well with the manufacturing environment and its needs to decentralize and distribute in order to increase its levels of flexibility, agility and dependability. Multi Agent Systems (MAS) make it possible to increase the autonomy and flexibility in the industrial environment allowing for an increase in...
Adaptability and changeability are becoming the key features of future manufacturing. With adaptability comes a need to dynamically and frequently change factory topologies throughout the life-cycle of manufacturing systems. These changes are necessary to respond to changes in markets that result in new products, production volumes, and product variants. In addition to flexibly switching between different...
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