Refine
Document Type
- Book (2)
- Part of a Book (2)
- Conference Proceeding (17)
- Contribution to a Periodical (8)
- Lecture (1)
- Internet Paper (3)
- Report (3)
- Working Paper (2)
Language
- German (17)
- English (17)
- Multiple languages (4)
Is part of the Bibliography
- no (38)
Keywords
- 01 (1)
- 02 (7)
- 03 (1)
- 04 (1)
- 5G (4)
- ADAM (2)
- AI (2)
- Agriculture (1)
- Artificial intelligence (1)
- Ausbildung (1)
- Auto-ML (2)
- BMBF (1)
- BlueSAM (1)
- CPS (2)
- Carrier (1)
- Communication technology (1)
- Compliance (2)
- Conversational interfaces (1)
- Cornet (1)
- Data ecosystem (1)
- Datenaustausch (1)
- Datensouveränität (1)
- Datenverarbeitungssystem (1)
- Delphi study (1)
- Digital sovereignty (1)
- Digital technologies (2)
- Digitalisierung (4)
- Digitalization (4)
- E-Learning (1)
- EFRE-0801386 (1)
- Event-driven IT-Architecture (1)
- Fallstudien (1)
- Freight forwarder (1)
- Förderkennzeichen 100451351 (1)
- Förderkennzeichen: 02K19K013 (1)
- IT OT Integration (1)
- IT-2-1-025a (1)
- IT-2-1-025a / EFRE-0801386 (1)
- IT-Architektur (1)
- IT-OT-Integration (2)
- Industrie 4.0 (10)
- Industrie 5.0 (1)
- Industry 4.0 (2)
- Industry 5.0 (1)
- Information Management (1)
- Informationsmanagement (1)
- Informationstechnologie (1)
- Intelligente Produkte (2)
- Internet der Dinge (1)
- Internet of Things (1)
- IoT (1)
- KI (1)
- KMU (4)
- Klein- und Mittelbetrieb (1)
- Konsortial-Benchmarkingstudie (1)
- Künstliche Intelligenz (2)
- Machine Learning (2)
- Management (1)
- Manufacturing companies (1)
- Matching (1)
- Nähmaschine (1)
- PTKA (1)
- Product-Service-Systems (1)
- Produktdatenmanagement (1)
- Regulation (2)
- Reifegradmodell (1)
- Relay traffic (1)
- Route sectioning algorithm (1)
- SV7185 (1)
- SV7190 (1)
- SV7394 (1)
- Schatten-IT (1)
- Self-Assessment (1)
- Self-managed (1)
- Shopfloor (1)
- Smart Machines (1)
- Smart Products (1)
- Smart farming (2)
- Studie (1)
- Supervised Learning (1)
- Sustainability (2)
- Swarm robotics (1)
- Systemintegration (1)
- Technologiemanagement (4)
- Technology-Radar (2)
- Transport order (1)
- UI (1)
- User-Interface (1)
- Vernetzung (1)
- Workshop (1)
- Zielsystem (1)
- agile development (1)
- artificial intelligence (1)
- benefit measurement (1)
- crisis (1)
- development process (1)
- digitale Transformation (1)
- resilience (1)
- rev (10)
- smart products (1)
- smart services (1)
- user acceptance (1)
- Öffentlichkeitsarbeit (1)
Institute
With the development of publicly accessible broker systems within the last decade, the complexity of data-driven ecosystems is expected to become manageable for self-managed digitalisation. Having identified event-driven IT-architectures as a suitable solution for the architectural requirements of Industry 4.0, the producing industry is now offered a relevant alternative to prominent third-party ecosystems. Although the technical components are readily available, the realisation of an event-driven IT-architecture in production is often hindered by a lack of reference projects, and hence uncertainty about its success and risks. The research institute FIR and IT-expert synyx are thus developing an event-driven IT-architecture in the Center Smart Logistics' producing factory, which is designed to be a multi-agent testbed for members of the cluster. With the experience gained in industrial projects, a target IT-architecture was conceptualised that proposes a solution for a self-managed data-ecosystem based on open-source technologies. With the iterative integration of factory-relevant Industry 4.0 use cases, the target is continuously realised and validated. The paper presents the developed solution for a self-managed event-driven IT-architecture and presents the implications of the decisions made. Furthermore, the progress of two use cases, namely an IT-OT-integration and a smart product demonstrator for the research project BlueSAM, are presented to highlight the iterative technical implementability and merits, enabled by the architecture.
Intelligente Produkte werden für produzierende Unternehmen immer mehr zum Bestandteil einer umfassenden Digitalisierungsstrategie. Der Grund liegt darin, dass die Anreicherung eines Produkts mit digitalen Technologien konkrete Mehrwerte für Produzent:in und Kund:in erzeugt, aus denen sich langfristig Wettbewerbsvorteile ergeben. Während große Konzerne diese Strategie bereits für sich realisieren, bedeutet die notwendige Interdisziplinarität aus fachlicher und digitaler Expertise jedoch eine Hürde für KMU, die ihre Digitalisierung mit geringeren Ressourcen verfolgen.
Im EU-Forschungsprojekt ‚BlueSAM‘ hat das FIR mit dem belgischen Partner Sirris eine Methode erarbeitet, die Entwicklung Intelligenter Produkte nutzenorientiert auszurichten und sie architekturell vorzuarbeiten, um KMU einen vereinfachten Einstieg zu bereiten und initiale Aufwände zu reduzieren. Die nun über ein öffentlich verfügbares Webtool nutzbare BlueSAM-Methode hat das FIR dazu genutzt, ein eigenes Intelligentes Produkt als Demonstrator zu entwickeln: eine Espressomaschine, die gelernt hat, Personen bei der Espressozubereitung mit der Maschine zu unterstützen. Aus den Daten erkennt man etwa, wann der Espresso im Brauprozess die ideale Menge erreicht hat oder zu welchen Tageszeiten welche Sorten am beliebtesten sind.
Crisis situations can lead to extreme consequences for society and the economy, such as the disruption of supply chains and the collapse of critical infrastructure. The challenge for optimal crisis preparation lies in the unpredictability of causes, duration and scope, and severity. AI-based resilience services can aid in crisis preparation by providing software-based warnings, recommendations, and countermeasures. The aim of this paper is to present a method for evaluating such services in terms of their usefulness and acceptance. A questionnaire is presented, and the results of its piloting phase are disseminated. With these results, existing and projected AI-based services for crisis prevention can be evaluated.