@incollection{BergerKretzschmannArnold, author = {Berger, Ulrich and Kretzschmann, Ralf and Arnold, Klaus-Peter}, title = {Heuristic STEP-NC Based Process Planning Tool for Sequencing NC Machining Operations}, series = {Advanced Design and Manufacturing Based on STEP}, booktitle = {Advanced Design and Manufacturing Based on STEP}, editor = {Xun, Xu and Nee, Andrew Y. C.}, publisher = {Springer}, address = {London}, isbn = {978-1-8488-2738-7}, pages = {49 -- 78}, language = {en} } @incollection{BergerMinhasKretzschmannetal., author = {Berger, Ulrich and Minhas, Sarfraz Ul-Haque and Kretzschmann, Ralf and Vargas, Veronica and Noack, Jan}, title = {Intelligent strategies for resolving complexities in mass customized production environment}, editor = {Mieke, Christian and Behrens, Stefan}, abstract = {Produktionswissenschaft sowie Technologie- und Innovationsforschung sind sehr dynamische Gebiete. Sie setzen sich mit den Forderungen nach robusten und wandlungsf{\"a}higen Produktionssystemen sowie innovativen Technologien auseinander, schaffen theoretische Modelle und praxistaugliche Instrumente zur Entscheidungsunterst{\"u}tzung in einem dynamischen, internationalen und zunehmend vernetzten Umfeld. Das Buch beinhaltet Beitr{\"a}ge namhafter Autoren, gibt einen {\"U}berblick zum aktuellen Forschungsstand und w{\"u}rdigt als Festschrift f{\"u}r Professor Dieter Specht dessen interdisziplin{\"a}r angelegtes wissenschaftliches Wirken. Der Band versammelt unter anderen Beitr{\"a}ge von Daniel Baier, Klaus Bellmann, Ulrich Berger, Udo Buscher, J{\"o}rg M. Elsenbach, Wolf Fichtner, Joachim Fischer, J{\"u}rgen Gausemeier, Georg Gem{\"u}nden, Torsten J. Gerpott, Horst Geschka, Uwe G{\"o}tze, Diana Grosse, Andreas Gr{\"o}ßler, Evi Hartmann, Hans H. Hinterhuber, Christopher Jahns, Bernd Kaluza, Joachim K{\"a}schel, Wolfgang Kersten, Klaus-Peter Kistner, Bernd Kortschak, Herbert Kotzab, Rudolf O. Large, Peter Lethmathe, Peter Loos, Horst Meier, Barbara Mikus, Peter Milling, Magdalena Mißler-Behr, Martin G. M{\"o}hrle, Theodor Nebl, Joachim Reese, Bernd Rieper, Gerhard Schewe, Hans-Horst Schr{\"o}der, G{\"u}nther Seliger, Marion Steven, Oliver Thomas, Meike Tilebein, Bernd Viehweger, Kai-Ingo Voigt, Marion A. Weissenberger-Eibl, Horst Wildemann, Herwig Winkler, Stephan Zelewski.}, language = {en} } @incollection{VargasMinhasLebedynskaetal., author = {Vargas, Veronica and Minhas, Sarfraz Ul-Haque and Lebedynska, Yuliya and Berger, Ulrich}, title = {Enhancing Productivity through Integrated Intelligent Methodology in Automated Production Environment}, language = {en} } @incollection{MinhasKretzschmannVargasetal., author = {Minhas, Sarfraz Ul-Haque and Kretzschmann, Ralf and Vargas, Veronica and Berger, Ulrich}, title = {Mass Customization Responsive Automated Assembly Cells}, editor = {Piller, F. T. and Tseng, M. M.}, language = {en} } @incollection{MinhasKretzschmannVargasetal., author = {Minhas, Sarfraz Ul-Haque and Kretzschmann, Ralf and Vargas, Veronica and Berger, Ulrich}, title = {An approach for the real time intelligent production control to fulfill mass customization requirements}, series = {Mass Customization Services}, booktitle = {Mass Customization Services}, editor = {Edwards, Kasper and Blecker, Thorsten and Salvador, Fabrizio and Hvam, Lars and Friedrich, Gerhard}, publisher = {Vesterkopi Copenhagen Denmark}, address = {Copenhagen, Denmark}, isbn = {978-87-90-855-12-3}, pages = {86 -- 101}, abstract = {The automotive industry is distinguished by regionalization and mass customization of products. As a consequence, the diversity of products will increase and the lot sizes will decrease. Thus more product types have to be handled along the process chain and common production paradigms will fail. Hence, Rapid Manufacturing (RM) will be used for manufacturing small individual lot sizes. Nevertheless, new solution for joining and assembling these components are needed. The state of the art production control solutions exhibit several disadvantages while responding mass customization. A comprehensive and real time intelligent production control and monitoring system can overcome these limitations which will be the totality of intelligent production control and will be based on intelligent soft computing algorithms and smart intelligent peripheral devices. The concept is based on three interlinked main modules: a technology data catalogue (TDC) to access, share, process and structure relevant engineering data, an automated scheduling processor (ASP) based on graph theory to get an optimized and adaptable work plan using feature technology and a central programmable automation controller (PAC) for real-time sensor/actor communication. The processes will be controlled through PAC and influenced by humans through scalable human machine interfaces. The PAC and its supported software's widespread functionality for real time applications and compatibility and flexibility with the conventional programming languages will enable in developing customized palette of functions and tools for scalable level of control solutions. It will have a widespread accessibility as it will influence the execution of robot programs after pre-processing the data coming from various peripheral devices and calculating new robot paths by segmentation of detected curves and paths corresponding to the process planning information via one interface. The human machine communication will be based on the ontological approach as a natural language interaction system for filtering and translating into machine command. The entire concept will be demonstrated in a laboratory set-up with distinct machining, assembly and joining processes and will be experimentally validated in European research and development projects.}, language = {en} } @incollection{LehmannPelliciariDrustetal., author = {Lehmann, Christian and Pelliciari, Marcello and Drust, Manuel and Gunnink, Jan Willem}, title = {Machining with industrial robots: the COMET project approach}, series = {Robotics in Smart Manufacturing. Communications in Computer and Information Science}, booktitle = {Robotics in Smart Manufacturing. Communications in Computer and Information Science}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-642-39222-1}, pages = {27 -- 36}, language = {en} } @incollection{LehmannBergerStaedter, author = {Lehmann, Christian and Berger, Ulrich and St{\"a}dter, Jost Philipp}, title = {Anwendungsbeispiele zur Integration heterogener Steuerungssysteme bei robotergest{\"u}tzten Industrieanlagen}, series = {Handbuch Industrie 4.0 : Produktion, Automatisierung und Logistik}, booktitle = {Handbuch Industrie 4.0 : Produktion, Automatisierung und Logistik}, editor = {Vogel-Heuser, Birgit and Bauernhansl, Thomas and Hompel, Michael}, publisher = {Springer Fachmedien}, address = {Wiesbaden}, isbn = {978-3-662-45537-1}, doi = {10.1007/978-3-662-45537-1_49-1}, pages = {1 -- 14}, language = {de} } @incollection{BergerWaechterAmpatzopoulosetal., author = {Berger, Ulrich and W{\"a}chter, Kornelius and Ampatzopoulos, Alexandros and Klabuhn, Janny}, title = {Integration of a Knowledge Database and Machine Vision Within a Robot-Based CPS}, series = {Industrial Internet of Things}, booktitle = {Industrial Internet of Things}, editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.}, publisher = {Springer International Publishing}, address = {Cham, Switzerland}, isbn = {978-3-319-42559-7}, doi = {10.1007/978-3-319-42559-7}, pages = {231 -- 260}, language = {en} } @incollection{BergerJuergenAmpatzopoulosetal., author = {Berger, Ulrich and J{\"u}rgen, Selka and Ampatzopoulos, Alexandros and Klabuhn, Janny}, title = {Manufacturing Cyber-Physical Systems (Industrial Internet of Things)}, series = {Industrial Internet of Things}, booktitle = {Industrial Internet of Things}, editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.}, publisher = {Springer International Publishing}, address = {Cham, Switzerland}, isbn = {978-3-319-42559-7}, doi = {10.1007/978-3-319-42559-7}, pages = {423 -- 445}, language = {en} } @incollection{BilousStaedterGebaueretal., author = {Bilous, Vadym and St{\"a}dter, Philipp and Gebauer, Marc and Berger, Ulrich}, title = {Usage of Augmented Reality for Improved Human-Machine Interaction and Real-Time Error Correction of Laboratory Units}, series = {Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021}, booktitle = {Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021}, editor = {Sch{\"u}ppstuhl, Thorsten and Tracht, Kirsten and Raatz, Annika}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-74031-3}, doi = {10.1007/978-3-030-74032-0_22}, pages = {263 -- 274}, language = {en} } @incollection{SarivanBaumannDiezAlvarezetal., author = {Sarivan, Ioan-Matei and Baumann, Stefan Andreas and D{\´i}ez {\´A}lvarez, Daniel and Euteneuer, Felix and Reichenbach, Matthias and Berger, Ulrich and Madsen, Ole and B{\o}gh, Simon}, title = {Deep Learning-Enabled Real Time In-Site Quality Inspection Based On Gesture Classification}, series = {Advances in Automotive Production Technology - Theory and Application; Stuttgart Conference on Automotive Production (SCAP2020)}, booktitle = {Advances in Automotive Production Technology - Theory and Application; Stuttgart Conference on Automotive Production (SCAP2020)}, editor = {Weißgraeber, Philipp and Heieck, Frieder and Ackermann, Clemens}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-662-62961-1}, doi = {10.1007/978-3-662-62962-8_26}, pages = {221 -- 229}, abstract = {In this paper we present a novel method for performing in site real time quality inspection (QI) and consequently, digitalization of manual processes performed by human workers. It complements and improves our previous work in this area, which makes use of telemetry gathered from a smartwatch to classify manual actions as successful or unsuccessful. This new methodology provides the worker with a real time capable, robust and more accurate quality inspector. This work enhances the existing system through the elimination of input from the user by making use of a BIOX bracelet that detects gestures. The signal processing and classification methods are simplified and optimised by using assembled neural networks thus merging together the data gathered from multiple signal sources. Consequently, the overall QI system is improved with around 70\%, thus furthering the necessary development needed to have a system ready to be used on a production environment.}, language = {en} } @incollection{BorckSchmittBergeretal., author = {Borck, Christian and Schmitt, Randolf and Berger, Ulrich and Hentschel, Christian}, title = {IIoT and Smart Sensors in Human-Centered Manufacturing}, series = {The Future of Smart Production for SMEs}, booktitle = {The Future of Smart Production for SMEs}, publisher = {Springer Nature Switzerland AG}, address = {Schweiz}, isbn = {978-3-031-15427-0}, doi = {10.1007/978-3-031-15428-7_18}, pages = {213 -- 224}, abstract = {Borck et al. evaluate the challenges and opportunities of Industrial Internet of Things (IIoT) and smart sensors in human-centered manufacturing. Particularly in small and medium-sized manufacturing with fewer machines and smart tools, it is significantly more difficult to automate processes and get the required information from the shop floor. Therefore, they give proven recommendations for the use of sensors based on a set of frequently occurring tasks in assembly, maintenance and logistics to achieve the support of smart data models in the context of Industry 4.0. "IIoT and smart sensors in human-centered manufacturing" concludes with concrete sample scenarios and describe the challenges and one solution using smart sensors and data models.}, language = {en} } @incollection{SchmittBorck, author = {Schmitt, Randolf and Borck, Christian}, title = {Industrial Internet of Things (IIoT)}, series = {The Future of Smart Production for SMEs}, booktitle = {The Future of Smart Production for SMEs}, publisher = {Springer Nature Switzerland AG}, address = {Schweiz}, isbn = {978-3-031-15427-0}, doi = {10.1007/978-3-031-15428-7_25}, pages = {309 -- 314}, abstract = {Schmitt et al. provide a brief overview of the key technology for Industry 4.0, the Industrial Internet of Things (IIoT). For this purpose, the paper first examines how this technology has developed, what its essential components are and what challenges still need to be overcome. The work particularly presents the specific requirements, challenges and opportunities for SMEs. "Industrial Internet of Things (IIoT)" concludes with an example about the integration of IIoT in a model factory.}, language = {en} } @incollection{GebauerStoettrupSchioenningLarsenZeitschel, author = {Gebauer, Marc and Stoettrup Schioenning Larsen, Maria and Zeitschel, Diana}, title = {Challenges for SMEs on their Path to Smart Production}, series = {The Future of Smart Production for SMEs}, booktitle = {The Future of Smart Production for SMEs}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-15427-0}, doi = {10.1007/978-3-031-15428-7_3}, pages = {29 -- 38}, language = {en} } @incollection{ZeitschelMuehleKilimis, author = {Zeitschel, Diana and M{\"u}hle, Bettina and Kilimis, Panagiotis}, title = {Digitalization and Automation in Small and Medium-Sized Enterprises: Challenges, Needs, and Solutions in Brandenburg, Germany}, series = {The Future of Smart Production for SMEs : A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs : A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian and Schou, Casper}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-15427-0}, doi = {10.1007/978-3-031-15428-7_11}, pages = {127 -- 137}, abstract = {Digitalization and automation represent both a major challenge and a long-term opportunity for SMEs to secure their business success. They often lack specialist knowledge and a sufficient financial scope and therefore need external support in meeting these challenges. This is of particular relevance and political interest as Brandenburgs economy is determined by SMEs. Knowledge and technology transfer between scientific institutions and companies is seen as a possible solution. However, different goals, approaches and expectations of researchers and companies inhibits or complicates a successful cooperation. Therefore, transfer intermediaries are needed as mediators.The book chapter uses the example of IMI Brandenburg to show how knowledge and technology transfer can be implemented by intermediaries and what key findings were obtained in the process. Furthermore, possible success factors for both the digitization of Brandenburg's SMEs and successful knowledge and technology transfer are discussed.The chapter addresses decision-makers in SMEs as well as research institutions and transfer intermediaries and is intended to raise awareness of the opportunities, challenges and solutions in the cooperation between science and industry.}, language = {en} } @incollection{MollerMadsenBergeretal., author = {M{\o}ller, Charles and Madsen, Ole and Berger, Ulrich and Shou, Casper and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian}, title = {The Smart Production Vision}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15428-7}, pages = {13 -- 28}, abstract = {In this chapter, the Smart Production vision is discussed. The Smart Production approach is developed and described, and Smart Production is positioned in relation to Industry 4.0. Smart Production operationalize the journey towards Industry 4.0 and beyond. First, the need for a new approach to manufacturing is discussed, and from the perspectives of Industry 4.0, the Smart Production concept is derived. Then the framework is explored and finally, the approach is outlined. The Smart Production vision is an approach to make an integrated production system smarter by continuous digitizing, automating, and organizing towards supporting the company specific missions.}, language = {en} } @incollection{BergerMadsen, author = {Berger, Ulrich and Madsen, Ole}, title = {Introduction to Part 2 - Transformation of SMEs Toards Smart Production}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15428-7}, pages = {69 -- 75}, abstract = {This chapter will introduce the second part of the book. This part contains a collection of chapters aimed at supporting the SMEs in the transformation toward the Smart Production vision. In this part, different approaches are presented, which can assist SMEs in the formulation of a smart production vision and in the identification and prioritization of relevant initiatives, guiding the outline of a project roadmap. Furthermore, the part will introduce different regional innovation platforms in Denmark and Germany which support the SME transformations. Finally, it will be discussed how subscription-based methods could be used by SMEs to cut upfront investments and reduce requirements for digital competencies.}, language = {en} } @incollection{Lehmann, author = {Lehmann, Marlon Antonin}, title = {Intelligent Assistance Systems for Assembly Tasks}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian and Shou, Casper}, edition = {1. Auflage}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15427-0}, pages = {203 -- 211}, abstract = {Intelligent Assistance Systems are a key technology for solving the problem of today's quickly changing product configurations and the corresponding production requirements focusing on human needs. A recent study among industrial German companies identifies higher productivity, process control, quality, and cost-effectiveness as the main potentials of assistance technologies by reducing the worker's cognitive load. Choosing the right combination of assistance technologies such as augmented reality, virtual reality, machine learning, and their functionalities like learning capabilities, situation awareness, and assembly activity recognition remain essential for their success. This chapter presents an assistance systems overview, focusing on assistance technologies, for application at production sites. Furthermore, an example of a gesture recognition-based assistance system is given, showing the benefits arising from today's advanced assistance technologies.}, language = {en} } @incollection{BilousPorschSpanoudakis, author = {Bilous, Vadym and Porsch, Ronny and Spanoudakis, Konstantinos}, title = {Augmented Reality: Increasing Availability and Its Implication for SMEs}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian and Shou, Casper}, edition = {1. Auflage}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15427-0}, pages = {349 -- 356}, abstract = {The Augmented reality (AR) technologies have been first discovered in the third quarter of the twentieth century. However, the wider development of them has taken place only in the last two decades. By now, the research has shown that AR can be used in various areas of human activity. In industry, AR simplifies humanmachine communication and improves human-machine interfaces (HMI) for fast and feedback-provided retrieval of training/guidance information for operation pattern study, error correction, machine maintenance, assembly assistance, etc. In spite of that, the broad practical implementation of AR in industry, including small and medium-sized enterprises (SMEs), has faced considerable problems. As a result, the following controversy emerged: the comprehensive study of AR is combined with a rather narrow practical use primarily for advertising and demonstration tasks. This chapter attempts not only to overview the current state of AR in the industry, but also demonstrate the current challenges the AR is facing, as well as to analyse their respective causes and suggest solution ideas. It is also intended to assess the prospects for further development of AR and its continued integration into the industry. For this purpose, several examples of AR projects, their development, practical use and upgrading (performed by the authors of this study as well) are presented.}, language = {en} } @incollection{ReheVoeklerSchneider, author = {Rehe, Grit and V{\"o}kler, Sascha and Schneider, Robert}, title = {Qualification in Small and Medium-Sized Enterprises as the Key Driver for a Digitalized Economy}, series = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, booktitle = {The Future of Smart Production for SMEs: A Methodological and Practical Approach Towards Digitalization in SMEs}, editor = {Madsen, Ole and Berger, Ulrich and M{\o}ller, Charles and Heidemann Lassen, Astrid and Vejrum W{\ae}hrens, Brian and Shou, Casper}, edition = {1. Auflage}, publisher = {Springer International Publishing}, address = {Cham}, isbn = {978-3-031-15427-0}, pages = {405 -- 419}, abstract = {Transformation processes towards a smart production reshape the way we work. Digitalization and the application of new technologies lead to additional interfaces between man and machine and thus, result in a tremendous change of employment, work environment and workforce qualification. This in turn means, to take full advantage of digitalization employees at all levels and sectors have to be evolved in the transformation process and need to be skilled for the upcoming challenges. To meet this need for qualification and to sensitize especially small and medium-sized enterprises (SMEs) to the matter of digitalization, the Competence Center Cottbus was founded. Through a four-step approach, the Center addresses SMEs at all digitalization levels, from beginners to innovators. The central instrument for the Centers' work is the self-developed LTA-FIT qualification concept. This concept is designed to impart the required knowledge and competences in accordance with the distinct qualification level of SMEs and their employees.}, language = {en} } @incollection{PorschLehmann, author = {Porsch, Ronny and Lehmann, Marlon Antonin}, title = {Evaluation of Marker-Based AR-Tracking with Vuforia in the Context of Rail Vehicle Maintenance}, series = {Advances in Information and Communication - Proceedings of the 2023 Future of Information and Communication Conference (FICC)}, booktitle = {Advances in Information and Communication - Proceedings of the 2023 Future of Information and Communication Conference (FICC)}, publisher = {Springer, Cham}, address = {San Francisco, CA, USA}, isbn = {978-3-031-28076-4}, issn = {2367-3370}, doi = {10.1007/978-3-031-28076-4_7}, pages = {65 -- 71}, abstract = {Maintenance and repair jobs present a multitude of challenges. Digital assistance systems (DAS) can be used to support workers in tackling these challenges. One way of achieving this is by using a tablet with AR-technology to display necessary information seemingly in the real world. In order to place information at the correct positions, the DAS needs to know exactly where it is currently located. Multiple approaches are available to achieve this. One of those approaches is to use a marker which is placed somewhere in the real world as an anchor point for the system. In the context of rail vehicle maintenance, the workspace is inherently large with rail wagons having lengths of more than 10 m. This means that a marker that is placed somewhere on the wagon will not always be in the field of view of the DAS's camera, resulting in a possible reduction of the precision with which virtual objects can be displayed. This paper examines the viability of the marker-based approach under realistic circumstances. It was found that with a distance of multiple meters between marker and a spot that is to be highlighted, the precision will decrease significantly.}, language = {en} }