Refine
Year of publication
Document Type
- Article (9)
- Book (4)
- Part of a Book (25)
- Conference Proceeding (86)
- Contribution to a Periodical (17)
- doctorallecture (1)
- Doctoral Thesis (1)
- Lecture (4)
- Internet Paper (4)
- Preprint (1)
Language
- German (64)
- English (95)
- Multiple languages (2)
Is part of the Bibliography
- no (161) (remove)
Keywords
- 02 (19)
- 03 (3)
- 3GPP (1)
- 5G (5)
- 5G mobile communication (2)
- 5G use case (1)
- 5G-Mobilfunk (1)
- 5G-Technology (1)
- AI (2)
- Aachener PPS-Modell (1)
- Abschlussbericht (1)
- Adaptability (1)
- Additive Fertigung (1)
- Adherence To Delivery Dates (1)
- After-Sales-Service (1)
- Agile management Systems (1)
- Agriculture (1)
- Anlaufmanagement (1)
- Arbeit 4.0 (2)
- Arbeitsgestaltung (2)
- Artificial intelligence (1)
- Assembly (1)
- Asset Management (1)
- Assistance Systems (1)
- Augmented Reality (1)
- Automobilindustrie (1)
- B2B customer service (1)
- BITKOM (1)
- Beratung (1)
- Big Data (2)
- BigPro (1)
- Blockchain (1)
- Business analytics (2)
- Business ecosystems (1)
- Business model innovation (1)
- Business-Ecosystems (1)
- CPS (4)
- CPSL (1)
- Capacity Utilization (1)
- Carrier (1)
- Case study research (1)
- Change Management (1)
- Change Request (2)
- Changeability (1)
- Chatbot (1)
- Circular economy (1)
- Cloud (1)
- Cluster Smart Logistik (1)
- Co-Creation (2)
- Competencies (1)
- Crisis management (1)
- Cross-Industry Innovation (1)
- Customer Perspective (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Customer-Success-Management (1)
- Cyber Security (1)
- Cyber physical production control (1)
- DMS (1)
- Data Analytics (1)
- Data Products (1)
- Data Quality (1)
- Data analytics (1)
- Data-Centric Platform (1)
- Data-based pricings (1)
- Data-driven Services (1)
- Data-driven decision (1)
- Data-driven services (1)
- Datenaustausch (2)
- Datenmanagement (1)
- Datenpotenziale (1)
- Datensouveränität (1)
- Decision Support (2)
- Decision Support System (1)
- Decision support (1)
- Demand Forecasting (1)
- Design of Experiments (1)
- Deviation Detection (1)
- Dienstleistung (1)
- Dienstleistungssektor (1)
- Dienstleistungswende (1)
- Digital Office (1)
- Digital Transformation (1)
- Digital architecture management (1)
- Digital platform design (1)
- Digital transformation (1)
- Digital-Architecture-Management (1)
- Digital-Business-Model (1)
- Digitale Infrastrukturen (1)
- Digitale Steuerung (1)
- Digitale Transformation (2)
- Digitales Zeitalter (1)
- Digitalisation (1)
- Digitalisierung (10)
- Digitalization (1)
- Digitization (2)
- Digitization of SMEs (1)
- Discrete Event Simulation (1)
- Disruption Management (1)
- Disruptions (1)
- Distribution (1)
- Distribution management (1)
- Distributionsplanung (1)
- Disturbance Management (1)
- Do-it-together (1)
- E-Learning (1)
- ECM (1)
- EPCIS (1)
- ERP (2)
- ERP-System (1)
- Echtzeitfähige Systeme (1)
- Echtzeitfähigkeit (1)
- Ecosystem-Design (1)
- Efficiency Improvement (1)
- Employee qualification (1)
- End-2-End-Transparenz (1)
- Energiemanagement (2)
- Enterprise-Resource-Planning (1)
- Entscheidungsunterstützung (3)
- Ersatzteillogistik (1)
- Evaluation (2)
- Event Data (1)
- Expertise (1)
- Fallstudien (1)
- Feedback data (1)
- Finanzkrise (1)
- Flexibilität (1)
- Flexible manufacturing system (1)
- Food Production (1)
- Footprint design (1)
- Forecasting capability (1)
- Forschung (1)
- Forschungsbeirat (1)
- Freight forwarder (1)
- Furniture Production Process (1)
- Führungskraft (1)
- Geschäftsmodell (2)
- Geschäftsmodelle (1)
- Global production (1)
- Heterogene Netze (1)
- Heterogeneous networks (1)
- Human-centered work design (1)
- Humanitarian logistics (1)
- IT complexity (1)
- IT-Architektur (2)
- IT-Komplexität (1)
- IT-Unterstützung (1)
- Implementation barriers (1)
- Implementation success factors (1)
- Incorrect Data (1)
- Industrial Internet of Things (1)
- Industrial communication (1)
- Industrial sustainability (1)
- Industrie (1)
- Industrie 4.0 (18)
- Industrielle Kommunikationstechnik (1)
- Industry 4.0 (1)
- Information Logistics (1)
- Information Transparency (1)
- Information management (1)
- Informationslogistik (1)
- Informationsmanagement (1)
- Innovation (1)
- Innovative Furniture (1)
- Instandhaltung (1)
- Insufficient Data (1)
- Integration management (1)
- Integrationsmangement (1)
- Intelligent Product (1)
- Interface definition (1)
- Internet der Dinge (2)
- Internet of Production (4)
- Internet of Production (IoP) (1)
- Internet of Things (3)
- IoP (1)
- IoT (1)
- IoT platform (1)
- IoTPlattform (1)
- KI (5)
- KMAT (1)
- KMU (2)
- KPI (2)
- Kennzahlen (1)
- Key Performance Indicators (1)
- Key-Performance-Indicator (1)
- Knowledge representation (1)
- Kommunikation (1)
- Kompetenzentwicklung (2)
- Kompetenzmanagement (3)
- Konferenz (2)
- Konfigurierbare Materialien (1)
- Kongress (1)
- Konzepte (1)
- Krise (1)
- Kundendienst (1)
- Kundenprobleme (1)
- Kybernetik (1)
- Künstliche Intelligenz (5)
- Lean Manufacturing (1)
- Learning Game (1)
- Lebensmittelindustrie (1)
- Leistungsfähigkeit (2)
- Lernen (1)
- Lernen und Arbeiten (2)
- Letzte-Meile-Logistik (1)
- Lieferketten (1)
- Logistik (5)
- Logistikdienstleister (1)
- MES (1)
- Machine Learning (1)
- Machine learning (1)
- Machine-to-machine communications (1)
- Manufacturing (2)
- Manufacturing Companies (2)
- Manufacturing Execution System (1)
- Manufacturing firms (1)
- Manufacturing industry (1)
- Maschinen- und Anlagenbau (1)
- Matching (2)
- Maturity Index (1)
- Maturity Model, Maturity Index (1)
- Maturity model (1)
- Mechanical and Plant Engineering (1)
- Mittelstand (1)
- Mixed-Model Assembly (1)
- Mobile Datenkommunikation (1)
- Modellierung (1)
- Morphology (2)
- Multi-RAT (1)
- Nachhaltigkeit (1)
- Natural-Language-Processing (1)
- Network (1)
- Network architecture (1)
- Network configuration (1)
- Network function virtualization (1)
- Network slicing (1)
- Networked (1)
- Netzwerk (1)
- Netzwerkarchitektur (1)
- New Industrial Work (2)
- New Work (2)
- New learning (1)
- Online retail (1)
- Onlinehandel (1)
- Ontology (1)
- Operating models (1)
- Operations planning (1)
- Optimized capacity utilization (1)
- Order Quantity (1)
- PPC (1)
- PPS (3)
- PPS-Buch (1)
- Performance-Management (1)
- Plastics industry (1)
- Platform (1)
- Platform economy (1)
- Plattform Industrie 4.0 (1)
- Potential Benefits (1)
- Practical experience (1)
- Predictive Maintenance (1)
- Prescriptive Maintenance (2)
- Pricing Models (1)
- Procurement Strategy (1)
- Product Characteristics (1)
- Product-as-a-service business (1)
- Production (1)
- Production Control (3)
- Production Management System (1)
- Production Planning (1)
- Production facilities (1)
- Production management (2)
- Production networks (1)
- Produktdatenmanagement (1)
- Produktentwicklung (1)
- Produktionsabläufe (1)
- Produktionsmanagement (2)
- Produktionsplanung (6)
- Produktionsplanung und -steuerung (2)
- Produktionssteuerung (6)
- Produktionssystem (2)
- Quarrying Industry (1)
- Quarrying industry (1)
- Re- & upskilling (1)
- Reaktionsfähigkeit (1)
- Realisierung (1)
- Reference data model (1)
- Reference model (1)
- Regulatory framework (1)
- Relay traffic (1)
- Reliability (1)
- Replenishment Time (1)
- Requirements (1)
- Resource deployment (1)
- Return on Investment (1)
- Rezepte (1)
- Risikomanagement (2)
- Risk assessment (1)
- Risks (1)
- Route sectioning algorithm (1)
- SCEM (1)
- SCM (2)
- SME (1)
- SV7067 (1)
- SV7088 (1)
- SV7113 (1)
- SV7126 (1)
- SV7131 (1)
- SV7136 (1)
- SV7169 (1)
- SV7190 (1)
- SV7213 (1)
- SV7240 (1)
- SV7242 (1)
- SV7261 (1)
- SV7266 (1)
- SV7276 (1)
- SV7289 (1)
- SV7344 (1)
- SV7371 (1)
- SV7404 (1)
- SV7420 (1)
- SV7427 (1)
- SV7436 (1)
- SV7459 (1)
- Scenario pattern (1)
- Scenario technique (1)
- Selbstoptimierung (2)
- Sensors (1)
- Service (1)
- Service engineering (1)
- Service-Management (1)
- Setup time optimizing sequencing (1)
- Similarity Analysis (1)
- Simulation (1)
- Skills forecasting (1)
- Skills management (1)
- Smart Service (1)
- Smart Services (4)
- Smart farming (1)
- Smart product service system (1)
- Smart services (1)
- Smartification (1)
- Social Manufacturing (1)
- Socio-technical analysis (1)
- Sociotechnical (1)
- Software defined networking (1)
- Software defined platform (1)
- Softwaretool (1)
- Strategie (1)
- Strategy (1)
- Studie (3)
- Störungsmanagement (2)
- Subscription (2)
- Subscription Business (1)
- Subscription Business Models (1)
- Subscription business (2)
- Subscription-Economy (1)
- Subscription-Modelle (1)
- Suchmaschine (1)
- Supply Chain Event Management (2)
- Supply Risks (1)
- Supply chain (1)
- Supply-Chain (1)
- Supply-Chain-Design (2)
- Supply-Chain-Management (10)
- Supply-Chain-Networks (1)
- Supply-Chain-Resilienz (1)
- Sustainability (4)
- Swarm robotics (1)
- Systemplattform (1)
- Task View (1)
- Task-oriented Reference Model (1)
- Taxonomy (1)
- Technischer Wandel (1)
- Training (1)
- Transformation (1)
- Transport order (1)
- Trends (1)
- Twin transition (1)
- Type-specific (1)
- Typification (2)
- Typology (1)
- U1021 (1)
- Unternehmensberatung (1)
- Urbane Logistik (1)
- User-Story (1)
- Value capture (1)
- Value creation (1)
- Value-based Pricing (1)
- Value-in-Use (1)
- Value-in-use (2)
- Variantenfließfertigung (1)
- Vernetzung (1)
- Viable System Model (2)
- Visual Analytics (1)
- Vorgabezeit (1)
- Vorgehensmodell (1)
- Weiterbildung (1)
- Whitepaper (1)
- Wireless communication (1)
- Wirtschaft (1)
- Wirtschaftskrise (1)
- Wissenschaft (2)
- Wissensmanagement (1)
- Zeitwirtschaft (1)
- Zertifikatskurs (1)
- acatech industrie 4.0 Maturity Index (1)
- acquisition cycle (1)
- agile company (1)
- air mobility (1)
- analysis of potential (1)
- artificial intelligence (1)
- artificial neural networks (1)
- asset management (1)
- attribute and data harmonization (1)
- autonomous technology scouting (1)
- blockchain (1)
- blockchain-based services (1)
- bullwhip effect (1)
- business ecosystems (1)
- business model (3)
- case study research (3)
- classification systems (1)
- condition monitoring (2)
- control theory (1)
- counter measures (1)
- criticality analysis (1)
- cyber-physische Systeme (1)
- cybernetics (1)
- data democratization (1)
- data valuation framework (2)
- data value (3)
- data value assessment (1)
- datenbasierte Entscheidungen (1)
- decision making (1)
- decision support (2)
- deep learning (1)
- design (1)
- deviation detection (1)
- digital services (1)
- digital shadow (3)
- digitale Technologien (2)
- digitale Transformation (1)
- digitalization (1)
- disruption management (1)
- disruptions (1)
- disturbance management (2)
- ecosystem design (1)
- energy consumption (1)
- energy efficiency (1)
- energy revolution (1)
- engineering valley (1)
- enterprise resource planning system (1)
- flight demand (1)
- fourth industrial revolution (1)
- human-robot collaboration (1)
- hybride Systeme (1)
- hype cycle (1)
- i4.0 (1)
- iIntangible assets (1)
- industrial pilots (1)
- industry (1)
- industry 4.0 (1)
- information logistics model (1)
- information management (1)
- infrared sensor (1)
- innovation processes (1)
- intangible assets (1)
- intelligent maintenance systems (1)
- intelligent support system (1)
- internet of production (1)
- inventory management (2)
- it-architecture (1)
- logistics (1)
- machine learning (3)
- machine tools (1)
- machinery and plant engineering industry (1)
- maintenance engineering (1)
- maintenance services (1)
- maintenance value contribution (1)
- manufacturing (1)
- manufacturing companies (2)
- microgrids (1)
- milling (1)
- natural language processing (1)
- nonlinear optimization (1)
- order (1)
- order processing (1)
- peak flattening (1)
- predictive maintenance (1)
- process mining (1)
- procurement (1)
- procurement strategy (1)
- production control (1)
- production management (1)
- production network (1)
- production networks (1)
- production planning and control (1)
- reaction strategy (1)
- real-time systems (1)
- realtime capability (1)
- recursion level (1)
- resilience (1)
- rev (31)
- risk analysis system (1)
- risk management (1)
- science (1)
- service engineering (1)
- smart product service systems (2)
- smart services (1)
- subscription business (1)
- subscription business models (1)
- supply chain (3)
- supply chain event management (1)
- supply chain management (2)
- supply risks (1)
- switchgear (1)
- system dynamics (3)
- task model (1)
- technology management (1)
- technology scouting (1)
- text mining (1)
- textile supply chain (1)
- thermal monitoring (1)
- thin-haul (1)
- transport demand (1)
- viable system model (2)
- Änderungsmanagement (2)
- übergreifende Koordination (1)
Institute
- Business Transformation (14)
- Dienstleistungsmanagement (35)
- FIR e. V. an der RWTH Aachen (161)
- Informationsmanagement (43)
- Produktionsmanagement (72)
Technology management can significantly influence the strategic decisions of a company and thus cause success or failure. Basic templates for technology management are technology radars as well as the determination of the technology readiness level (TRL) to be able to evaluate the maturity of newly deployed technologies (e.g., newcomer vs. established). The radars, as well as the TRL, are identified in time-consuming, manual research by subject matter experts from external consultancies. This process is often repeated due to the further development and new development of technologies so that the necessary research becomes an ongoing task. The TechRad research project, therefore, aims to automate the identification of the TRL as well as technology radars using web crawling and Natural Language Processing (NLP). To commercialize the pre-competitive prototype, the development of a pre-competitive business model is the goal of this paper. Based on customer analyses, a target group definition is created. Based on user interviews, the precompetitive business model will be detailed in a four-step approach using a business model canvas and a value proposition canvas.
Driven by different trends, such as digitalization, the number of companies aiming for successful business transformation is increasing, while new structures and systems are paving the way. Strategic agile management systems offer significant potential benefits given the increasing speed of the evolving environment in which organizations find themselves these days. To select and implement the appropriate strategic agile management system, companies need to understand the underlying theoretical principles to be able to select the most suitable for the respective company and to introduce it based on individual adaption. Within this paper, a morphology is presented to improve theoretical knowledge about strategic agile management systems. Creating a common understanding of strategic agile management systems and their current areas of application creates a suitable frame of reference for future research projects.
While digitization is a strategic advantage in numerous industries such as the automotive industry or mechanical engineering, other industries like the German quarrying industry have not yet established a transformation towards a digitized industry. This leads to inefficient work and inaccurate forecasting capabilities. To address these challenges, digital platforms can incentivize digitization
by supporting the capacity utilization and forecasting capability of these companies. In this paper, the quarrying industry is analyzed by a morphology and different types of companies are identified. Knowing the digital maturity of these companies and by determining the key factors to forecast demands and the capacity utilization, different operating models are derived. Combined with a morphology and the value creation system, different scenarios for the identification of platform services are examined. These scenarios are weighted in a utility analysis to get an operating model blueprint to develop and establish digital platforms in less digitized industries.
Understanding the Organizational Impact of Robotic Process Automation: A Socio-Technical Perspective
(2022)
Interest in AI-driven automation software is growing constantly across
all industries, as these technologies enable companies to almost automate administrative processes completely and significantly increase operational efficiency.
However, many implementation attempts fail due to a lack of understanding of how these technologies affect the various socio-technical aspects that are intertwined in an organisation. This leads to a widening gap between value propositions of automation software and the ability of companies to exploit them. For long-term
success, collaboration between humans and software robots in the organization must be optimised. Therefore, the social, technical, and organizational impact of Robotic Process Automation was investigated. Following a socio-technical systems approach, a model was developed and validated in a use case of a company in the mechanical engineering sector. Knowing the influencing factors before launching large-scale automation initiatives will help practitioners to better exploit
efficiency potentials and increase the long-term success.
In der neuen Expertise des Forschungsbeirats Industrie 4.0 untersuchen das FIR e. V. an der RWTH Aachen und das Industrie 4.0 Maturity Center den Status-quo und die aktuellen Herausforderungen der deutschen Industrie bei der Nutzung und wirtschaftlichen Verwertung von industriellen Daten. Handlungsoptionen für Unternehmen, Verbände, Politik und Wissenschaft zeigen auf, wie der Nutzungsgrad der Datenbasis erhöht werden kann und wie sich Potenziale bei der Monetarisierung ausschöpfen lassen. Der Fokus liegt dabei auf produzierenden Unternehmen.
Generation of a Data Model For Quotation Costing Of Make To Order Manufacturers From Case Studies
(2022)
For contract or make to order manufacturers, quotation costing is a complex process that is mainly performed based on experience. Due to the high diversity of the product range of these mostly small or medium-sized companies (SMEs) and the poor data situation at the time of quotation preparation, the quality of the calculation is subject to strong variations and uncertainties. The gap between the initial quotation costing and the actual costs to be spent (pre- and post-calculation) is crucial to the existence of SMEs. Digitalization in general can help companies to get a better understanding of processes and to generate data. For improving these processes, an understanding of the important data for that specific process is crucial. Accurate quotation costing for customized products is time-consuming and resource-intensive, as there is a lack of an overview of data to be used within the process. This paper therefore derives a data model for supporting quotation costing in the company, based on literature-based costing procedures and recorded case studies for quotation and calculation. Based on the results, SMEs will have a first overview of the needed data for quotation costing to optimize their calculation process.
Um auf steigende Kundenanforderungen und das sich änderndes Unternehmensumfeld reagieren zu können, müssen Unternehmen ihre Agilität und Reaktionsfähigkeit, insbesondere in Produktionsprozessen, erhöhen. Dafür müssen die Auswirkungen der möglichen Änderungen im Unternehmensumfeld auf die eigenen Geschäfts- und Produktionsprozesse untersucht und verstanden werden. Das Prozessverständnis allein reicht jedoch nicht: Es werden Daten aus unterschiedlichen Quellen benötigt, um die Ereignisse in der Prozess- und Lieferketten nachzuverfolgen, um das Material eindeutig zu charakterisieren und in Unternehmen vorhandene Algorithmen oder Modelle mit Eingangsdaten zu versorgen. Daher spielt die Datenverfügbarkeit eine wichtige Rolle auf dem Weg zur adaptiven Produktion. In diesem Beitrag wird die Wichtigkeit der Datenverfügbarkeit erläutert sowie ein Konzept der Datenplattform zum sicheren, überbetrieblichen Datenaustausch vorgestellt.
Künstliche Intelligenz (KI) hat als Technologie in den vergangenen Jahren Marktreife erlangt. Es existiert eine Vielzahl benutzerfreundlicher Produkte und Services, welche die Anwendung von KI im Alltag und im Unternehmen vereinfachen. Die Herausforderung, vor denen Anwendende, gerade im betriebswirtschaftlichen Kontext, stehen, ist nicht die technische Machbarkeit einer KI-Applikation, sondern deren organisatorisch und rechtlich zulässige Gestaltung. Zu einer zunehmenden Dynamik in der Gesetzgebung kommt ein gesellschaftliches Interesse an der Kontrolle und Transparenz über die für KI-Modelle erhobenen Daten. Die Diskussion über Datensouveränität im geschäftlichen und privaten Alltag rückt mehr und mehr in das Zentrum der öffentlichen Aufmerksamkeit.
Datenbasierte KI-Anwendungen stehen damit in einem Spannungsfeld zwischen den Potenzialen, die das Erheben und Teilen von Daten über Unternehmensgrenzen hinweg bietet, und der Herausforderung, die Datensouveränität der involvierten Personen zu wahren. Die vorliegende Studie soll erstens über die Auswirkungen der Datensouveränität und die damit verbundenen aktuellen und kommenden Regularien auf KI-Anwendungsfälle aufklären. Dafür wurden Expertinnen und Experten aus den Bereichen Recht, KI- und Organisationsforschung befragt. Zweitens zeigt die Studie Potenziale und Best Practices von KI-Anwendungsfällen mit überbetrieblichem Datenaustausch auf. Dafür wurden Fallstudien in Unternehmen durchgeführt, die bereits erfolgreich Datenaustausch in ihre Geschäftsmodelle integriert haben, um ihre KI-Applikationen zu betreiben und zu verbessern.
Augmented reality seems to offer great potential benefits in the field of industrial services. However, the question of the exact benefits, both monetary and qualitative, is difficult to evaluate, as is the case with IT investments in gen-eral. Within the framework of the DM4AR research project, an evaluation model was therefore developed. Based on group discussions and interviews on potential AR use cases, a list of monetary and qualitative benefits was compiled to form the basis for selecting suitable evaluation modules in the existing literature. These include an impact chain analysis in the form of a strategy map, a monetary eval-uation as a calculation of the return on investment, based on the assumptions of the use case as well as existing studies, and a qualitative evaluation in the form of a utility analysis. The outcome is an evaluation model in the form of a multi-perspective approach that considers the impact of AR in the four perspectives of the balanced scorecard (financial, customer, internal business processes, learning and growth). The results of the qualitative and monetary evaluation can be sum-marized in a 2D matrix to support decision-making.
Manufacturing companies (MFRs) are increasingly extending their
portfolios with services and data-driven services (DDS) to differentiate themselves from competitors, tap new revenue potential, and gain competitive advantages through digitization and the subsequently generated data. Nonetheless, DDS fail more often than traditional industrial services and products within the first year on the market. Particularly, companies are failing to sell DDS successfully and efficiently with their existing (multi-level) distribution structures. Surprisingly, there is a lack of scientific research addressing this issue. Since there are currently no holistic models for an end-to-end description of distribution-tasks for DDS in the manufacturing industry, this paper contributes to a task-oriented reference model for mapping interactions in the multi-level distribution management. Therefore, a case study research approach is used, to identify and describe the interactions in the multi-level distribution management of DDS, as well as to develop a regulatory framework for MFRs and their multi-level distribution management. This research uses the established theoretical framework of Service-Dominant-Logic to address the co-creation in multi-level distribution management of DDS. As a result, this paper identifies different interaction variants as well as the need for a new management function with 4 main and 14 basic tasks.