Automation

The IT-risks which factory infrastructures are exposed to, require a common view of IT-security and operational technology (OT) protection. In this context, the measures from office IT can only be transferred to the production area and production control to a limited extent. The requirements and protection goals for the equipment used and the networking between these components are too different. An integrated approach and continuous management of IT security helps to identify and implement targeted measures in a concerted manner.

Software development of industrial robots requires interdisciplinary knowledge and technical experience. Due to the heterogeneity of the manufacturer-dependent programming languages and tools, robot programming remains highly complex, although robots themselves are flexible and can be used for a wide range of applications. To support different roles during the development, including component provider, application developer, system integrator and end user, a model based approach was developed in the research project ReApp. The data exchange format AutomationML was used for the modelling of robot components and systems. Based on domain ontologies, the AutomationML models were processed semantically and converted to a machine-interpretable information model, from which source code was generated.

Currently the implementation of digital technologies in response to important competition requirements is promoted in many places. Consequently, the working environment of employees in operative logistics is going to change significantly. This article provides an overview of the possible uses of future-oriented technologies in different logistics processes as well as the thereby changing subtasks and competence requirements of operative employees in the working world 4.0.

The third industrial revolution culminated in the Computer Integrated Manufacturing but limited computing power and the dystopia of a deserted factory prevented its success. Industry 4.0, however, stands for the integration of people, technology and organization. Based on the networking of products, tools and means of production become all relevant information available. The combination with cloud computing and big data enables the analysis and utilization of such information.

To develop solutions tailored to the challenges of logistics, it is necessary to realize the current state of the market as well as market trends. For this reason, BIBA has been conducting the RoboScan study series since 2007. It determines the status quo of applying robotics to logistics and instantly works out one specific area in greater detail. RoboScan’14 is now concerned with “man-machine interaction”. Some results of the study are presented in this article.

The networking between companies in a supply chain becomes tighter. This applies for manufacturing plants and the supply with manufacturing equipment as well. Hence, the complexity of the flow of information, in particular for tool management, increases. Currently the exchange of information is mostly paper-based and tool data is not available continuously along the supply chain. By using a digital and cloud-based tool management system, breaks in the flow of information along the supply chain for machining tools can be overcome. Herewith tool data can be called and updated ongoing and location-independent. Furthermore, after clearly identifying a tool, required tool data can automatically be transferred into the control system of the machine.

Information technology is one of the key enabling technologies of future manufacturing. In the two basic business processes manufacturing is located at the intersection point. However, for manufacturing and its value adding purpose, information technology has to be considered as a tool. In this paper the author describes an approach to the components of a new information model inside the future factory.

Industrial and automation systems from the corporate IT perspective for a long time have been deserted islands because, these were mainly isolated systems. While this is largely still the case, through the increasing use of IT standards industry systems with its stand-alone solutions are more and more involved in the internal office networks, or even connected to the Internet. Especially the transition to the so called “Industry 4.0” vision bears new requirements and challenges for industry systems - particularly in the area of security. For more interconnectedness also means greater security needs. Industry 4.0 (smart factory, factory of the future) means that machinery and equipment gain the ability to adapt their behavior through self-tuning and reconfiguration to changing conditions. The goal is highly optimized processes that produce high quality products tailored to individual customer needs. In such manufacturing processes of the future, for example, a large number of ...