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)
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
- FIR e. V. an der RWTH Aachen (161) (remove)
In immer komplexer werdenden Wertschöpfungsketten wird die Geschwindigkeit, mit der Informationen weitergegeben und entsprechende Maßnahmen umgesetzt werden können, zu einem entscheidenden Wettbewerbsvorteil. In der Realität kommt es jedoch auf dem Weg zwischen einem Ereignis und einer passenden Reaktion zu verschiedenen zeitlichen Verzögerungen, sogenannten Latenzen, die die Agilität eines Unternehmens erheblich hemmen. Insbesondere das Supply-Chain-Management mit seiner koordinierenden Funktion wird dadurch vor enorme Herausforderungen gestellt. Schlüsseltechnologien im Zeitalter von Digitalisierung und Industrie 4.0 bieten jedoch enorme Potenziale, die verschiedenen Formen von Latenzen zu reduzieren. Der Beitrag untersucht die unternehmensübergreifenden Effekte dieser Verzögerungen entlang der Supply-Chain und beleuchtet darüber hinaus die Potentiale konkreter digitaler Technologien auf selbige.
Die Zukunftspotenziale der digitalen Technologie könnten den Dienstleistungssektor entscheidend transformieren und damit der schrumpfenden Wettbewerbsfähigkeit der deutschen Wirtschaft neuen Schwung verleihen.
Das Schiff des Wirtschaftsstandorts Deutschland schwankt in rauer werdender See. Es schwankt weniger, weil die traditionellen deutschen Wertschöpfungssäulen (insbesondere die Flaggschiffe Automobil- und Maschinenbau sowie Chemie- und Logistikindustrie) hierzulande an Know how eingebüßt hätten; es sind vielmehr die großen Technologiedurchbrüche der letzten Jahrzehnte, die die deutschen Tugenden, welche mehr als ein Jahrhundert lang für einen Spitzenplatz unter den großen Wirtschaftsmächten gesorgt haben, drastisch an Bedeutung verlieren lassen. Perfektionismus, Verarbeitungsqualität, Zuverlässigkeit und Langlebigkeit von Produkten aller Art sicherten der deutschen Wirtschaft über viele Jahrzehnte hinweg internationales Ansehen. Das führte allerdings zu einer gewissen Selbstzufriedenheit, die die eigene Spitzenposition in der Welt als Selbstläufer ansah. Verliebt in die eigene Perfektion (der Strategieberater und Blogger Sascha Lobo spricht plakativ von einer „Spaltmaßfixierung“ ganzer Wirtschaftszweige) und an permanenter rein inkrementeller Innovation orientiert, hinkt Deutschland auf wichtigen Gebieten der künftigen Wertschöpfungsfelder dem Wettbewerb gefährlich hinterher – insbesondere auf dem für die Zukunft entscheidenden Technologiegebiet der Digitalisierung.
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.
Development of a platform business model for co-creation ecosystems for sustainable furniture
(2023)
Existing design platforms with multi-dimensional value chains currently have deficits in terms of their business models, resulting in insufficient attention to sustainability goals and individual requirements for products of these platforms. Co-creation approaches, such as the Do-It-Together (DIT) approach for furniture, involve customers and manufacturers as equal partners in the design and production process. This allows customers to have more influence on the sustainability and individualization of products. The existing literature addresses sustainability-oriented design principles for platform business models, but concrete platform business models for multidimensional DIT cocreation of furniture are still missing. Therefore, the objective of this paper is to develop a business model for a DIT co-creation platform for the furniture industry based on a four-step business model innovation framework. This method will then be applied to a specific project scenario to derive a project-specific DIT co-creation business model. This generates knowledge about the collaborative manufacture of sustainable and customized furniture and contributes to the cross-sectoral transfer of platform business models for the development of sustainable products.
Due to Digital Transformation, also called Industry 4.0 or the Industrial Internet of Things, the barrier for implementing data collecting technology on the shop floor has decreased dramatically in the past years – leading to an increasingly growing amount of data from a multitude of IT systems in production companies worldwide. Despite that, the production controller still relies heavily on intrinsic knowledge and intuition for the management of disruptions in production. Thanks to advances in the fields of production control and artificial intelligence, potentials for the collected data for disruption management arise. However, in order to transform data into usable information and allow drawing conclusions for disruption management in production, the relevant data-objects, disturbances and alternative actions must be known. Thus, the decision-making can be supported, reducing the decision latency and increasing benefit of alternative actions. Therefore, the goal of this paper is to discuss the prerequisites necessary to perform a data based disruption management and the methodology itself, serving as an approach to allow companies to build a data basis, classify disruptions and alternative actions in order to improve decision making in the future. [https://link.springer.com/chapter/10.1007/978-3-030-28464-0_13]
This paper addresses the challenge of a systematic requirement-oriented configuration and selection of cyber physical systems (CPS) for SMEs. As the key technologies of realizing the digitalization and interconnection of production processes, manufacturing companies have realized the potential benefits brought by CPS. However, due to the
complexity and fast development of CPS technology, it is difficult for SMEs, which lack expertise and financial resources, to select the appropriate CPS technologies meeting both functional and financial requirements. To overcome the issue, an online matching platform is developed to let SMEs express their needs and assist them onceptualize
the individual CPS. This paper presents the matching methodology of the matching platform, which can not only match technical characteristics but also evaluate economic potentials. Then, it was demonstrated by a tracking and tracing use case in the end-of-line assembly of a small-sized German electric automobile manufacturer.
In Germany’s transition to a more sustainable industrial landscape, electricity generated by wind turbines (WT) remains a mainstay of the energy mix. Operating and maintenance costs, which account for roughly 25% of electricity generation costs in onshore WTs make improvements of maintenance activities a key lever in the economic operation of WTs. Prescriptive maintenance is a possible approach for improved maintenance activities. It is a concept where asset condition data is used to recommend specific actions and has great potential for the operation of wind parks. However, especially small, but also large wind park operators, and maintenance service providers often struggle with the implementation of such a new maintenance approach. As a part of the research project ReStroK, a learning game has been developed to support the training and familiarization of maintenance technicians with the concepts and underlying principles of this maintenance approach. In this paper, the concept for the development of a learning game will be presented. Multiple scenarios for its usage and their corresponding requirements will be discussed and an overview over the game will be given.
In manufacturing, adherence to delivery dates is one of the main logistic goals. The production control department has to cope with short-term deviations from the planned route sheets. Because of unforeseen disruptions, e.g. machine breakdowns or shortage of material or personnel, in some situations, the promised delivery date to the customer is at stake. In practice, a fast and reasonable decision on how to deal with the delayed order is required. This decision process is often based on a qualitative analysis relying on the planner’s subjective assessment of a complex situation. To improve the quality of possible countermeasures this paper presents an application, which supports the decision process through a quantified analysis using real-time data from business application systems in combination with a simulation of the value stream. The developed app is part of the decision process and estimates the effect of selected countermeasures to accelerate a delayed order. Performance indicators illustrate the effect of the countermeasures on the specific order as well as the whole system. This approach empowers the planner to assess unforeseen situations and aims to improve the quality of the decision-making process. This paper describes the architecture of the application, its simulation ecosystem, the relevant data and the decision process to select the most effective countermeasures.
In road haulage, transports are interrupted by truck drivers to comply with driving and rest times. On long-distance routes, these interruptions lead to a considerable increase in transport time. Transport interruption can be avoided by so-called relay traffic: a vehicle (e. g. semi-trailer) is handed over to a rested driver at the end of the driving time. This type of transport requires a certain company size. In Germany, however, transport companies have 11 employees on average. Intra-company relay traffic is therefore not economically viable for most transport companies. To organize an intermodal transport across forwarding companies, long-distance routes need to be split into partial routes to divide them between freight forwarders and carriers. This paper presents a data concept for an algorithm to find the best possible route sections along a previously defined start and endpoint. The developed data concept includes order-specific data, forwarder-specific data, real-time traffic data, geographical data as well as data from freight forwarding software and telematics to be the basis for the route sectioning algorithm. In this paper, different data sources, external services and logistic systems are analyzed and evaluated. It is shown which data is needed and what the best ways are to select and derive this data from the different data sources.