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Offline Path Compensation to Improve Accuracy of Industrial Robots for Machining Applications
(2013)
Homogene Steuerung in einem heterogenen Umfeld = Homogeneous control in heterogeneous environment
(2004)
Das Konzept eines Engineering Portals zur benutzerzentrierten Unterstützung der Anlagenplanung
(2006)
The manufacturing industry is distinguished by regionalization and individualization of products accompaniedby varying customer demands, faster time to market, short innovation cycles and product life cycles. Theintroduction of new materials, new processes as well as struggle to achieve economic and efficient use ofresources has raised complexities to achieve quick and optimal configuration in manufacturing systems. Toresolve the complexities, the reconfiguration at different levels in the manufacturing system is presented byusing three distinct examples. The first example refers to reconfigurable joining cell design for versatile joiningof automotive subassemblies. Second example refers to strategy for quick reconfiguration of robots for precisemachining applications. The third example elaborates fast calibration of monitoring system in joiningprocesses to enable fast reconfiguration of sensors in commissioning as well as in the maintenance.
A Multilevel Reconfiguration Concept to Enable Versatile Production in Distributed Manufacturing
(2011)
The manufacturing industry is confronting challenges due to high diversity of product variants,reduced product life cycles,short innovation cycles, faster time to market as well as strictenvironmental regulations. These challenges have persuaded manufacturers to exploit conceptsrelated to open innovation, distributed manufacturing, modular and scalable production systemdesign and eco-efficient production. This paper aims at providing a short review of state of the art inreconfiguration of distributed production systems and focuses on new strategies to resolvecomplexities that arise subsequently. In this regard, a reconfiguration concept based on newstrategic objectives has been proposed to enable customized production. The approach will beimplemented and validated in the collaborative projects.
Insbesondere die produzierenden Unternehmen in der Automobilindustrie müssen auf kürzere Produktzyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen Unternehmenserfolg zu sichern. Diese Anforderungen können heute verfügbare Systeme oftmals nicht leisten. Die kognitiven Fähigkeiten der Mitarbeiter ermöglichen in der manuellen Montage eine hohe Anpassungsfähigkeit. Erwünschte Produktivitätssteigerungen werden durch Erhöhung des Automatisierungsgrades engestrebt, wobei die Fähigkeiten der Mitarbeiter nur selten genutzt werden und die Anpassungsfähigkeit abnimmt. Zukunftsweisende Montagekonzepte können nur durch entsprechende Zielsetzung und methodische Vorgehensweisen erreicht und umgesetzt werden. Ziel des "Robot Farming" Konzept ist es, die Mitarbeiterproduktivität unter voller Nutzung ihrer kognitiven Fähigkeiten zu steigern. Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgewählte Bausteine des "Robot Farming" und ein Planungssystem für "Robot Farming" Konzepte in der Montage vorgestellt.
Insbesondere die produzierenden Unternehmen in der Automobilindustrie müssen auf kürzere
Produktlebenszyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen
Unternehmenserfolg zu sichern. Diese Anforderungen können heute verfügbare
Systeme oftmals nicht leisten. Die kognitiven Fähigkeiten der Mitarbeiter ermöglichen in der
manuellen Montage eine hohe Anpassungsfähigkeit. Erwünschte Produktivitätssteigerungen
werden durch Erhöhung des Automatisierungsgrades angestrebt, wobei die Fähigkeiten der
Mitarbeiter nur selten genutzt werden und die Anpassungsfähigkeit abnimmt. Zukunftsweisende
Montagekonzepte können nur durch entsprechende Zielsetzung und methodische
Vorgehensweisen erreicht und umgesetzt werden. Ziel des „Robot Farming“ Konzeptes ist
es, die Mitarbeiterproduktivität unter voller Nutzung ihrer kognitiven Fähigkeiten zu steigern.
Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgewählte Bausteine des
„Robot Farming“ und ein Planungssystem für „Robot Farming“ Konzepte in der Montage vorgestellt.
Sophisticated screwing processes in modern screwing equipment are marked with complex parameter settings of the
screwing operations and with their assessment requirements. To gain the potential for improvement, the screwing processes must be handled using a special strategy. To determine the exact parameters and to achieve improved process quality requires development of analysis tools to diagnose the parameter attributes. Increased requirements in the screwing processes demand operator best fit training procedures. A continuous improvement concept for the process control is required to enhance work quality. An information system with a maturity degree for automated screwing processes is developed. To avoid the technical risks, some mechanisms were developed, which automatically extract the process related data and provide it to operator afterwards. By using the information system, information (process and control data) about the parameterization of the screwing control with standardized correlations and a clear tracing of working steps is provided. In this way the running, modification and optimization of the screwing process can be implemented without errors. The developed information system was evaluated on an experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the platform and their components are described and a validation of the developed system is carried out. The development and assembly of the components is presented. Data interrelations are also described in detail. With the developed information system the correct parameterization of the screwing processes with a degree of maturity of the process parameters were achieved. The evaluation of the maturity degree is made with the help of functional properties of the parameters. Consequently, an obvious minimization of the mistakes and a simple screwing process control is achieved.
Industry 4.0 is still in its development phase and it promises to bring remarkable benefits to the manufacturing industry around the world when employing the Smart Factory application in large organizations and their supply chains. However, there is a risk of a miss-match when trying to introduce Industry 4.0 to Small and Medium Enterprises (SME) as the concept is mainly being developed around large manufacturing companies. The purpose of this research is to analyze the readiness level and feasibility of implementing Industry 4.0 technologies for SME’s in the federal state of Brandenburg (Germany). The work is based on the survey of 20 SME’s assessing their current problems emphasizing on automation, Enterprise Resource Planning (ERP), CAD/CAM, factory layout planning and logistics. Five SME’s from different domains out of the 20 surveyed are taken as case studies to evaluate the potential benefits, trade-offs and barriers from an implementation of these integrated technologies. The findings revealed that the companies are still coping with the issues relating to planning, logistics and automation. It was also found that all the concepts of i4.0 may not be necessary or even beneficial to an enterprise in the current scenario and new strategies need to be developed for its realization in SME’s.
This paper presents a novel approach for automated smart factory based on the ideas of Internet of Things (IoT) and the usage of mobile technology of the german „Industry 4.0“ [6]. IoT enables the achievement of greater value and service by exchanging data between different devices and the manufacturer. The data collected from all devices will be exchanged via wireless networks. Mobile technology can be used to cover non value-added processes [3] i.e. transportation in the manufacturing. By combining transportation tasks and value adding production steps, waste of production time, cost and effort can be reduced. This paper presents the first step toward this approach [7]: the mobile robot moves alongside the moving object and executes the manufacturing tasks during its transportation. For the demonstration of the developed solution a mobile
platform and an optical measurement system was used. The synchronization between the mobile platform and the object will be experimentally tested. Consequently the results will demonstrate how the mobile robot is able to follow the moving object.
Die steigende Produktvielfalt und die Anforderung nach höherer Flexibilität in der Produktion sowie nach Steigerung der Produktivität erfordern im industriellen Umfeld eine Erhöhung des Automatisierungsgrades. Vor diesem Hintergrund steigert sich der Robotereinsatz in der Industrie seit Jahren. Jedoch liegt der Automatisierungsgrad im Montagebereich immer noch auf einem niedrigen Niveau, weil entweder der hohe Zeitbedarf zur Entwicklung eines Robotersystems und/oder der hohe Aufwand zur Umsetzung ins Zielsystem hinderlich auf die Erhöhung des Automatisierungsgrads wirken. In diesem Paper wird eine neue Methode zur Entwicklung eines Robotersystems für Montageaufgabe vorgestellt. Diese Methode zielt auf Erstellung einer Montageaufgabe durch Anwendung der Erweiterten Realität (Augmented Reality, Abkürzung AR). Eine virtuelle Montageaufgabe mit virtuellen Bauteilen wird händisch ausgeführt, dadurch wird diese Montageaufgabe visualisiert dargestellt und automatisch im Zielsystem erstellt.
A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era
(2019)
The digital transformation of the production sector is setting the scene for a major industrial change. The need for supporting companies in this transformation is currently covered by several maturity models, generally operationalized through standardized questionnaires, which provide, as an outcome, an assessment of the current maturity stage and a set of general improvement recommendations according to it. However, to provide companies with a more tangible support, there is a need for more individual approach. In order to deal with this need, this paper proposes, following a design science research framework, a novel approach based on Problem-Based Learning for structuring the assessment procedure as a dialectic process. This approach aims at facilitating the contextualization of the assessed company and, consequently, the identification of context-specific improvement recommendations. The proposed approach, supported by a maturity model used for framing information collected during the assessment process, is tested in three industrial cases. Although these have been assessed at the same maturity stage, different improvement recommendations have been proposed according to contextual factors such as strategic goals, core processes and key performance indicators.