Auflistung nach Schlagwort "Industry 4.0"
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- KonferenzbeitragThe application of Articial Intelligence for Cyber Security in Industry 4.0(INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Ben Zid, Ines; Parekh, Mithil; Waedt, Karl; Lou, XinxinThe use of Artificial Intelligence (AI) in different domains is continuously growing. In particular for cybersecurity, we can see the implementations of AI solutions, e.g. machine learning, in a wide range of applications from various domains. While some consider this step as risk for cybersecurity, others agree that it is in fact a solution to many issues as well. This leads to a higher necessity of having a right understanding as well as handling of cybersecurity controls that enforce meeting domain, project and application specific security targets. This implies that more efforts and resources have to be focused and invested towards cybersecurity. One reason for this is that attackers (threat agents) may integrate AI based algorithms and AI based evaluation of data, which forces the security staff to respond at a similar level. Thus, we are considering AI as a potential solution for satisfying a set of rising needs and objectives. In this paper, we present the concept for merging and integration of these three major domains and applications. Also, we detail the relevant motivations, requirements and challenges to be considered when coming to such combination.
- ZeitschriftenartikelArbeiten im Mittelstand 4.0 – KMU im Spannungsfeld des digitalen Wandels(HMD Praxis der Wirtschaftsinformatik: Vol. 53, No. 1, 2016) Ludwig, Thomas; Kotthaus, Christoph; Stein, Martin; Durt, Hartwig; Kurz, Constanze; Wenz, Julian; Doublet, Thorsten; Becker, Maximilian; Pipek, Volkmar; Wulf, VolkerDas aktuelle Verständnis von Industrie 4.0 umfasst oftmals die Vision einer vollautomatisierten und Technologie-determinierten Entwicklung der deutschen Industrie. Eine praktische Ausgestaltung einer solchen Vision bietet dabei keine hinreichende Option für den Mittelstand – den eigentlichen Treiber der deutschen Wirtschaft. Speziell bei kleineren und mittelständischen Unternehmen sichern die eigenen Mitarbeiter/innen sowie deren Erfahrungen und Arbeitsvermögen maßgeblich den wirtschaftlichen Erfolg und müssen bei der Ausgestaltung von Industrie 4.0-Konzepten und -Technologien in den Fokus gerückt werden. Bei der Betrachtung der Mitarbeiter bzw. der Mitarbeiterinnen im Zentrum des Mittelstandes, fallen bei der praktischen Ausgestaltung von Industrie 4.0 eine Vielzahl sozialer Fragestellungen an, welche vor allem aber im Betrieb von Unternehmen und Betriebsrat bearbeitet und sozialpartnerschaftlich ausgestaltet werden müssen. In diesem Artikel werden die aktuellen Spannungsfelder präsentiert, in welchen die sozialen Fragestellungen angesiedelt sind. Diese wurden auf Basis eines Expertenworkshops mit Geschäftsführern und Unternehmensberatern kleiner und mittelständischer Unternehmen sowie durch verschiedene Interviews mit Vertretern der IG Metall im Hinblick auf die Veränderung von Arbeit im Kontext von Industrie 4.0 erhoben.AbstractThe current understanding of ‘Industry 4.0’ often includes the vision of a fully-automated and technology-driven development of the German industry. But the practical configuration of such a vision is not an appropriate option for small and medium companies, which are the actual driver of the German economy. Especially for smaller and medium sized companies, the own staff, as well as their experiences and work capacity decisively secure the economic success and need to be put in the spotlight of industrial 4.0 concepts and technologies. When considering the employee as one of the central factors of success within small and medium companies, the practical adaption of fully-automated and technology-driven concepts raise a variety of social issues, which need to be addressed by the social partnership, such as employer organizations, employee organizations as well as scientific partners. This article presents the current social issues as well as areas of conflict in which these social issues are settled. Such issues were collected on the basis of an expert workshop with managers and business consultants of small and medium companies and various interviews with representatives from the labor union IG Metall and the employers’ associations in regard to the change of work in the context of ‘Industry 4.0’.
- ZeitschriftenartikelBlockchain in Industrie 4.0: Beyond cryptocurrency(it - Information Technology: Vol. 60, No. 3, 2018) Laabs, Martin; Đukanović, SinišaIndustrie 4.0, the transition from static, centrally controlled production to dynamic, decentralized manufacturing, is aiming to increase product quality, customization and efficiency. Autonomous production systems and flexible inter-organizational cooperation are key challenges. Blockchain seems to be a natural fit to cope with these challenges. This article derives major challenges of I4.0 and compares them with benefits of blockchain technology. Use cases demonstrate where challenges and benefits match. Also, well known blockchain issues and possible solutions are addressed.
- ZeitschriftenartikelBusiness process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory(it - Information Technology: Vol. 60, No. 3, 2018) Rehse, Jana-Rebecca; Dadashnia, Sharam; Fettke, PeterThe advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated “smart factory” built out of LEGO ® bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.
- KonferenzbeitragCybersecurity Testing for Industry 4.0: Enhancing Deployments in operational I&C systems Through Adversarial Testing and Explainable AI(INFORMATIK 2024, 2024) Ndiaye, Ndeye Gagnessiry; Kirdan, Erkin; Waedt, KarlSeveral emerging technologies have substantially affected the scope and implementation of security testing. This includes the testing of cryptographic algorithm implementation, the security of Machine Learning (ML) and Artificial Intelligence (AI) algorithms, joint functional safety and security-related (IEC TR 63069) testing, security and privacy-related testing of big data and cloud computing, e.g. with regard to de-identification. This paper focuses on the security ML and AI implementations, examining their integration in industrial control and nuclear systems (IEC 62443). Special attention is given to security threats considered throughout the AI system life cycle specifically at design phase. We assess the entirety of the secure development lifecycle, which includes stages such as data and model management, risk assessment, and the enhancement of system robustness and resilience as specified by ISO/IEC 42001. To highlight the critical role of verification and validation (V&V), we conduct a proof-of-concept exploit targeted and gradual feature poisoning attack on a water treatment and distribution simulator fault detector. We achieve to demonstrate the impact of the attack on model robustness and performance through explainable metrics and pave the way for the development of a secure lifecycle framework, thereby increasing the chances of successful deployment.
- ZeitschriftenartikelDie Grenzen der Digitalisierung. Neubestimmung der hybriden Handlungsträgerschaft zwischen Mensch und Technik und Implikationen für eine humane Technikgestaltung(HMD Praxis der Wirtschaftsinformatik: Vol. 53, No. 1, 2016) Huchler, NorbertDer Beitrag stellt die Unterscheidung zwischen explizierbarem und nicht-explizierbarem Wissen und zwischen den daran jeweils anschließenden Handlungsformen der ‚Objektivierung‘ und ‚Subjektivierung‘ ins Zentrum, um differenziertere Antworten zu ermöglichen auf zentrale Fragen der Digitalisierung von Arbeit: Wie wirkt sich die Informatisierung auf Arbeit, Tätigkeiten und gefragte Kompetenzen aus? Wie kann die Interaktion zwischen Mensch und Technik/Maschinen, wie kann überhaupt digitalisierte Arbeit nachhaltig und menschengerecht gestaltet werden? Anhand von Beispielen aus der Arbeitspraxis wird argumentiert, dass auch bei komplexen sozio-technischen Systemen und intelligenter Technik weiterhin von einer Art Arbeitsteilung zwischen Mensch und Technik auszugehen ist, um den Potenzialen von Mensch und Technik gerecht zu werden. Auf diese Weise wird typisch menschliches Arbeitsvermögen ermächtigt und eine Humanisierung der Arbeit (z. B. lernförderliche Arbeit) eher erreicht als durch eine Angleichung der Technik an den Menschen, die die Besonderheiten menschlichen Handelns systematisch ignoriert. Hieraus werden Folgerungen für die Technikgestaltung abgeleitet.AbstractFocusing upon the differentiation between explicable and non-explicable knowledge and the respective forms of action, viz. objectification and subjectification, the paper intends to provide more sophisticated answers to relevant questions of the digitalization of work: In which way does informatization influence work, work activities, and competency requirements? How can we design interaction between human beings and technology/machinery, how can we generally design digitized work in a sustainable and humane way? Using examples from work practice, the paper argues that a division of work between humans and technology is still necessary in order to do justice to the potentials of humans and technology respectively, even in cases of complex socio-technological systems, smart technology, and artificial intelligence. By acting on this premise, it is possible to empower specifically human labour capacity. In this way, humanization of work is more likely to be achieved than by means of a ‘humanization of technology’ that systematically ignores the characteristics of human action. In conclusion, consequences for the design of technology are discussed.
- ZeitschriftenartikelDie Industrie 4.0 aus ethischer Sicht(HMD Praxis der Wirtschaftsinformatik: Vol. 52, No. 5, 2015) Bendel, OliverDer vorliegende Beitrag arbeitet die wesentlichen Merkmale der Industrie 4.0 heraus und setzt sie ins Verhältnis zur Ethik. Es interessieren vor allem Bereichsethiken wie Informations-, Technik- und Wirtschaftsethik. Am Rande wird auf die Maschinenethik eingegangen, im Zusammenhang mit der sozialen Robotik. Es zeigt sich, dass die Industrie 4.0 neben ihren Chancen, die u. a. ökonomische und technische Aspekte betreffen, auch Risiken beinhaltet, denen rechtzeitig in Wort und Tat begegnet werden muss.AbstractThis article highlights the essential features of the industry 4.0 and puts them in relation to ethics. Of special interest are the fields of applied ethics such as information, technology and business ethics. Machine ethics is mentioned in passing in connection with social robotics. It is evident that the industry 4.0 in addition to opportunities, affecting among other things economic and technical aspects, includes also risks which must be addressed in word and deed in a timely manner.
- ZeitschriftenartikelDigital Industrial Platforms(Business & Information Systems Engineering: Vol. 63, No. 2, 2021) Pauli, Tobias; Fielt, Erwin; Matzner, Martin
- KonferenzbeitragDigital Shadows for Cross-Organizational Data Exchange(Modellierung 2022 Satellite Events, 2022) Koren, IstvánProduction settings typically involve heterogeneous systems that create a challenging environment for collecting data in light of digital transformation. Once overcoming these difficulties, data-driven opportunities for manufacturing companies include increasing efficiency and productivity, reducing costs, and improving quality control. On the shop floor, digital shadows and digital twins are elements of these modernization strategies, e.g., to leverage machine learning methods for decision support. Recently, some approaches have transferred these concepts to the organizational level, like digital twins of organizations. In this paper, we envision how we can use data collections from the shop floor, captured as digital shadows, to share data across organizational boundaries to create new business models and ultimately enter new markets. We discuss the necessary enhancements of our conceptual model for digital shadows presented in previous work. We are convinced that digital shadows can help companies embrace innovative, data-driven business models to face challenges like sustainability.
- ZeitschriftenartikelDigital Work Design - The Interplay of Human and Computer in Future Work Practices as an Interdisciplinary (Grand) Challenge(Business & Information Systems Engineering: Vol. 60, No. 3, 2018) Richter, Alexander; Heinrich, Peter; Stocker, Alexander; Schwabe, Gerhard