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
- Business Transformation (14)
- Dienstleistungsmanagement (35)
- FIR e. V. an der RWTH Aachen (161)
- Informationsmanagement (43)
- Produktionsmanagement (72)
Europa als erster klimaneutraler Kontinent bis 2050 – unter diesem ambitionierten Ziel treibt die Europäische Union eines der größten Transformationsprogramme dieses Jahrhunderts voran. Das Leben und die Gesellschaft wie sie heute existiert, werden in allen Bereichen signifikanten Musterwechseln unterliegen. Von zentraler Bedeutung bei dieser Transformation wird die Mobilität von Personen und Gütern sein. Eine Reduktion von 90 % der Treibhausgasemissionen soll in weniger als drei Dekaden realisiert werden. Insbesondere im Bereich der Urbanen Logistik ist ein nahtloses Zusammenspiel der verschiedensten Akteure, unterstützt durch neuartige digitale und physische Infrastrukturen, notwendig, um eine nachhaltige Zielerreichung bei mindestens konstantem Serviceniveau sicherzustellen. Cross-industrielle Ansätze, die über das Zusammenspiel von komplementären Lösungsbausteinen Co-Creation ermöglichen, werden zum zentralen Wettbewerbsvorteil für alle Akteure. Die Gestaltung von Business Ecosystems rückt deshalb zunehmend in den Fokus und wird aufgrund des enormen Potenzials für die Urbane Logistik in diesem Beitrag beleuchtet.
Anwendungsfälle wie intelligente Routenoptimierung und fortschrittliche Simulationsalgorithmen repräsentieren das riesige Einsatzspektrum von Methoden der künstlichen Intelligenz. Steigende Anforderungen an Liefertermintreue, Flexibilität und Transparenz wie bspw. Emissionsverfolgung, erfordern zunehmend den Einsatz von KI. Die Nutzung dieser Schlüsseltechnologie und die Hebung der Potenziale scheitern oft an der Komplexität in Bezug auf die Eingrenzung und Identifikation von wirtschaftlich relevanten Anwendungsfällen. Unternehmen müssen den Business Fit zwischen den wirtschaftlichen Erfolgsaussichten und den dafür benötigten digitalen Bausteinen herstellen. Mit dem Digital-Architecture Management lassen sich die relevanten KI-basierten Anwendungsfälle identifizieren und eine Roadmap aufbauen, um die datenbasierte Entscheidungsfähigkeit in der Logistik zu verbessern.
One major problem of today’s producing companies is to reach a high adherence to delivery dates while considering the volatile market situation as well as economic aspects. This problem can only be solved by using a production control that is optimally adapted to the processes. A good working, process-oriented production control is essential for being able to control the production situation and to ensure a high adherence to delivery dates. Data generation and processing determine the success of production control. Current processes and IT systems have several shortcomings in meeting these challenges.
The solution for this problem is the so called “cyber physical production control” (CPPC). It optimally supports the production scheduler in his decision making process based on real-time high-resolution data. With the help of data analytics, the production controller receives decision support over various steps. Due to CPPC, the overall goal of a high adherence to delivery dates can be fundamentally increased.
Industrie 4.0 ist in Politik, Medien, Wissenschaft und Wirtschaft derzeit omnipräsent. Intelligenter, individueller, effizienter, schneller, vernetzter – so lauten nur einige Versprechen dieses neuen industriellen Zeitalters. Tatsächlich sind die Potenziale gerade für den deutschen Maschinen- und Anlagenbau gewaltig: Sowohl für Anbieter als auch für Anwender von Technologien rund um das Thema Industrie 4.0. Aber noch existieren viele ungelöste Fragen, Unsicherheiten und Aufgaben. Hier wollen wir mit unserer Readiness-Studie ansetzen und Hilfestellung leisten. Denn ein Selbstläufer wird Industrie 4.0 nicht. Mit der vorliegenden Studie soll die große Vision näher an die betriebliche Realität gebracht werden. Auch zeigen wir die anspruchsvollen Wegmarken auf, die für viele Unternehmen hinsichtlich ihrer Industrie 4.0-Fähigkeit noch zu passieren sind. Die Studie untersucht, an welcher Stelle der Maschinen- und Anlagenbau aktuell bei der Umsetzung steht. Motivation und Hemmnisse der Unternehmen werden ebenso in den Blick genommen wie die Unterschiede, die sich zwischen Mittelstand und großen Unternehmen ergeben. Im Ergebnis ist es erstmals möglich, die „Industrie 4.0-Readiness“ der Maschinenbau-Industrie detailliert und systematisch abzubilden.
Industrie 4.0 is all around us today: in politics, in the media, and on the agendas of researchers and entrepreneurs. Smarter, faster, more personalized, more efficient, more integrated – those are just some of the promises of this new industrial era. The potential, especially for Germany ́s mechanical
engineering industry and plant engineering sector, is indeed great, both for providers and for users of technologies across the spectrum of Industrie 4.0.
But there are still many unresolved questions, uncertainties, and challenges. Our readiness study seeks to address this need and offer insight. Because Industrie 4.0 will not happen on its own.
This study is intended to bring the grand vision closer to the business reality. We also highlight the challenging milestones that many companies must still pass on the road to Industrie 4.0 readiness.
The study examines where companies in the fields of mechanical and plant engineering currently stand, focusing on what motivates them and what holds them back, and on the differences that emerge between small and medium enterprises on the one hand and large enterprises on the other.
The results make it possible for the first time to develop a detailed, systematic picture of Industrie 4.0 readiness in the engineering sector.
The study concludes with recommendations for action in the business community, complementing the diverse suite of programs and activities offered by VDMA’s Forum Industrie 4.0. We would like to take this opportunity to thank the two sponsors of this project from the VDMA Forum, Dietmar Goericke and Dr. Christian Mosch, whose efforts played a critical role in making this study a success.
We are convinced that Industrie 4.0 can become a success story for Germany’s engineering sector. May our “Industrie 4.0 Readiness” study do its part in this effort.
Erfolgreiche Serviceinnovation im Zeitalter industrieller, datenbasierter Dienstleistungen unterscheidet sich deutlich von bisherigen Ansätzen der klassischen Dienstleistungsentwicklung. Diese Erkenntnis konnte aus einem breit angelegten Benchmarking in der deutschen Industrie gewonnen werden. Die Benchmarking-Studie identifizierte besonders erfolgreiche Unternehmen, deren Methoden und Ansätze zur Gestaltung innovativer Dienstleistungen in Form von Fallstudien im Detail untersucht wurden. Als Kernergebnis ergeben sich sechs Prinzipien, die erfolgreiche Serviceinnovation für datenbasierte Dienstleistungen auszeichnen.
Changing customer demands lead to increasing product varieties and decreasing delivery times, which in turn pose great challenges for production companies. Combined with high market volatility, they lead to increasingly complex and diverse production processes. Thus, the susceptibility to disruptions in manufacturing rises, turning the task of Production Planning and Control (PPC) into a complex, dynamic and multidimensional problem. Addressing PPC challenges such as disruption management in an efficient and timely manner requires a high level of manual human intervention. In times of digitization and Industry 4.0, companies strive to find ways to guide their workers in this process of disruption management or automate it to eliminate human intervention altogether. This paper presents one possible application of Machine Learning (ML) in disruption management on a real-life use case in mixed model continuous production, specifically in the final assembly. The aim is to ensure high-quality online decision support for PPC tasks. This paper will therefore discuss the use of ML to anticipate production disruptions, solutions to efficiently highlight and convey the relevant information, as well as the generation of possible reaction strategies. Additionally, the necessary preparatory work and fundamentals are covered in the discussion, providing guidelines for production companies towards consistent and efficient disruption management.
Smart Service Engineering
(2019)
In our digitalized economy, many traditional service engineering models lack flexibility, efficiency and adaptability. As today’s market differs significantly from the market of the late 20th century, service engineering models must meet different requirements today than they had to meet in the past. The present paper starts off by providing an overview of the requirements that modern service engineering models need to fulfill in order to succeed in today’s economic environment. Afterwards, three promising models that meet several of these requirements will be introduced.
Nowadays, cyber physical systems support the improvement of efficiency in intralogistics by controlling and manipulating the production and logistic environment autonomously. Due to the complexity of the individual production processes, designing suitable cyber-physical systems based on their existing production environment is a challenge for companies.
This paper presents a new methodology on how to design cyber-physical systems conceptually to suit an individual production environment. Compared to existing design approaches, this methodology matches immediately the required functions to existing information and communication technology’s components insisting on the neutral assimilation of requirements.
Therefore, the requirement specification asks for needed functions in relating to offered functions of information and communication technology (ICT) components. The paper focusses the use case of implementing a cutting-edge mobile network technology into an existing tracking and tracing process.
Manufacturing companies are constantly increasing their efforts in the subscription business, also known as product-as-a-service business, offering usage and outcome based solutions (value-in-use) instead of transactional services and products (value-in-exchange). Customers are becoming contractual subscribers of the solution in return for recurring, performance-related payments. To address arising, inevitable challenges like (1) reducing customer churn, (2) increasing usage intensity and outcome quality, (3) ensuring the adoption of product and software releases as well as (4) fostering customer loyalty, leading manufacturing companies are setting up a new organizational, customer-facing unit, called Customer Success Management (CSM). This unit has its origins in the software-as-a-service business, operating next to established entities like sales, key account management and customer service. Since there are currently no holistic models for an end-to-end description of CSM-tasks in the manufacturing industry, this paper contributes to a taskoriented reference model, using a grounded theory approach, examining both manufacturing and software companies. Containing a reference framework with 8 main tasks, 17 basic tasks and 76 elementary tasks, the reference model supports manufacturing companies in adapting and customizing a company-specific CSM concept.