Markus Bregulla

A new approach to integrate value stream analysis into a continuous energy efficiency improvement process

Due to increasing energy costs and the demand to lower CO2 emissions in the production, companies try to integrate a continuous energy efficiency improvement process. By implementing the energy value stream analysis, an optimized improvement process can be established which leads to a more efficient production. This approach shows a practically optimized method. It enables a holistic analysis of the energy productivity and helps to identify and to realize sustainable solutions. Furthermore this structured improvement process leads to a higher transparency of energy consumers.

PROFINET I/O Network Analyzer

This chapter describes PROFINET I/O network analyzer that was created as an open project realized in Institute of Informatics, Silesian University of Technology within cooperation with University of Applied Sciences Ingolstadt. Authors provide description of a PROFINET I/O analyzer idea which was based on joined analysis operation modes: active industrial network structure scanning and passive listening to a real-time communication. The base information about industrial PROFINET I/O structure, communication protocol and the core structure of realized network analyzer are presented also.

Energieprognose mittels Methods-Energy Measurement: Berücksichtigung des Energiebedarfs in der frühen Planungsphase durch komponentenbasierte Energieplanung

Kurzfassung Eine frühzeitige Berücksichtigung des Energieverbrauchs im Planungsprozess ist sowohl ökologisch als auch ökonomisch sinnvoll. Dazu sind allerdings aussagekräftige Daten nötig, welche zu diesem Zeitpunkt oftmals noch nicht bereit stehen. Aus diesem Grund wurde der Methods-Energy Measurement-Ansatz konzipiert, damit eine ganzheitliche energetische Betrachtung der Fertigungsanlage über ihren Lebenszyklus im Planungsprozess erfolgen kann.

Lebenszykluskosten in der Digitalen Fabrik

Kurzfassung Die stetig steigende Komplexität der Anlagenstruktur im Karosseriebau sowie kürzer werdende Planungsphasen stellen eine große Herausforderung an die Planungsabteilung der Automobilhersteller dar. Bei der Ausschreibung von Produktionsanlagen spielen, neben den Anschaffungskosten, die Folgekosten eine immer wichtigere Rolle. Da wesentliche Produkt- und Produktionsfaktoren in der Regel mit Simulationsmodellen vorab untersucht werden, kann durch die Ergänzung um Lebenszykluskosten die Vergabeentscheidung unterstützt werden. Dieser Beitrag stellt ein Konzept zur Unterstützung der Bewertung von unterschiedlichen Lieferanten während der Planungsphase vor.

Model of a Production Stand Used for Digital Factory Purposes

In the first part of this paper a typical realisation of a production stand is presented along with a description of stages of its implementation, layers (fields) of realisation and their interconnections and dependencies. In the second part a digital factory concept is presented. The concept is used to support the transfer of knowledge during construction and maintenance of production stands by preparation of a model which includes components, roles and interfaces of a stand. The approach allows to easily and comfortably get access to resources related to specific layers, depending on demands and needs of the user. Remote access which is based on data in a cloud forms a system of services which are available from web browser level.

Improving the Engineering Process in the Automotive Field Through AutomationML.

For a decade, it has been officially known that the most cost-intensive part of a body-building project is software engineering. The reason for this is the fact that in the engineering process many different types of information from their respective tool chains must come together and be combined. This situation is intensified by the heterogeneous engineering tool landscape that makes it difficult to reuse existing data and information from finished engineering steps without resorting to a paper interface. For this reason, many representatives of the automotive industry came together to solve these problems which resulted in the AutomationML format. AutomationML is an independent data format that allows bridging the gap between the various engineering fields and tool chains, thereby improving the overall process. The goal of this article is to provide an insight into the currently defined AutomationML standard and its possibilities.

Monitoring and Controlling Speed for an Autonomous Mobile Platform Based on the Hall Sensor

Cyber Physical Systems are often used in the automotive industry as embedded systems for constructing Advanced Driver Assistance Systems. Further development of current applications and the creation of new applications for vehicle and mobile platforms that are based on sensor fusion are essential for the future. While ADAS are used to actively participate in the controlling a vehicle, they can also be used to control mobile platforms in industry. In the article, the results of tests of different rates of data acquisition from Hall sensors to measure speed for mobile platform are presented. The purpose of the research was to determine the optimal platform parameter to indicate the refresh frequency in such a way that the measurements obtained from a Hall sensor will be reliable and will require less of the available computing power. Additionally, the results from investigations of the precise movement for a specified distance using a Hall sensor for a mobile platform are presented.

Energy Planning of Manufacturing Systems with Methods-Energy Measurement (MEM) and Multi-Domain Simulation Approach

Energy costs play a decisive role in the operation costs of automotive production companies. Therefore, energy planning in an early conception and planning stage becomes an important topic. This is because the early conception and planning stage has the greatest potential to influence the energy consumption of manufacturing technologies since about 70-80 % of the energy costs are committed during this stage. However, lifetime cost and specifically energy consumption are currently not a determining factor at this stage. The reason is that the prediction of energy costs for complex manufacturing systems are challenging. Previous research approaches in the area of energy planning are limited to detailed planned production. A standardized approach to determine the energy consumption rates at an early stage does not exist. In this context, the EffiPLAS project has therefore proposed to solve this challenge. The aim of this project is to develop a Methods-Energy Measurement approach with elementary energy elements to support the planning process at an early stage, and to develop a modular simulation model for calculating the energy consumption of industrial robots, which complements the energy prediction. In this paper, the basic concept of elementary energy units and their value determination techniques is presented, and the simulation model is outlined. The developed approach will help to predict the prospective energy consumption of complex production equipment so that energy costs can be accounted for in an improved manner within a life-cycle costing comparative analyses.