Refine
Document Type
- Contribution to a Periodical (20)
- Working Paper (12)
- Conference Proceeding (9)
- Article (6)
- Part of a Book (6)
- Report (6)
- Book (4)
- Internet Paper (2)
Language
- German (52)
- English (11)
- Multiple languages (2)
Is part of the Bibliography
- no (65)
Keywords
- 01 (3)
- 02 (10)
- 03 (3)
- 3PhasenKonzept (3)
- AM4Industry (3)
- APS-System (1)
- Additive Fertigung (1)
- Algorithmus (1)
- Anforderungsmanagement (1)
- Anomaly detection (1)
- Auftragsabwicklung (1)
- Bahn (2)
- Bewertung (1)
- Blockchain (1)
- Business Applications (1)
- CO2 accounting (1)
- CO2-Bilanzierung (2)
- CO2-Emission (1)
- Co-Creation (1)
- Customer Perspective (1)
- DQC (1)
- DaFuER (3)
- Data Quality (1)
- Data platform (1)
- Data set (1)
- Datenanalyse (1)
- Datenaustausch (1)
- Datenfusion (4)
- Datenintegration (1)
- Datenplattform (1)
- Datenqualität (5)
- Datenökosystem (1)
- Deviation identification strategies (1)
- Digital Architecture Management (1)
- Digital Transformation (1)
- Digitale Plattform (1)
- Digitaler Schatten (1)
- Digitalisierung (3)
- Disruptions (1)
- Do-it-together (1)
- EFRE-0801707 (1)
- EPCIS (1)
- ERP (6)
- ERP-/PPS-Auswahl (1)
- ERP-Systeme (6)
- ERSC (1)
- Electric freight truck (1)
- Elektro-LKW (1)
- End-2-End-Transparenz (1)
- Energiequartiere (1)
- Energy quarters (1)
- Enterprise Resource Planning (1)
- Enterprise-Resource-Planning (3)
- Entscheidungsfusion (1)
- Entscheidungsunterstützung (1)
- Expertise (1)
- FIR-Leitfaden (1)
- Forschungsbeirat (1)
- Furniture Production Process (1)
- Förderkennzeichen EFRE-0801707 (1)
- Herstellung (1)
- IT landscape (3)
- IT-Systemauswahl (1)
- IT-Systeme (1)
- IT-Systemlandschaften (1)
- Industrie 4.0 (3)
- Industrie-4.0-Maturity-Index (1)
- Information system (1)
- Informationssystem (1)
- Informationssysteme (1)
- Innovative Furniture (1)
- Insufficient Data (1)
- Internet of Production (3)
- KI (3)
- KMU (1)
- Kollaborationplattform (1)
- Konferenz (2)
- Kongress (1)
- Kosten-Nutzen-Analyse (1)
- Kosten-Nutzenbewertung (1)
- Kunden-Lieferanten-Beziehungen (1)
- Künstliche Intelligenz (3)
- Lebenszykluskosten (1)
- Lieferketten (1)
- Literature review (1)
- Logistics (1)
- Logistik (1)
- MES (1)
- Manufacturing (1)
- Manufacturing Execution System (1)
- Manufacturing-Execution-System (1)
- Marktspiegel (3)
- Marktübersicht (1)
- Mobilität in Deutschland (1)
- Modulare IT-Systeme (1)
- Modularität (2)
- Modularization (1)
- Nachhaltigkeit (6)
- Natural-Language-Processing (1)
- Nutzenpotenzial (1)
- PPC (1)
- PPS (5)
- PPS sys Markt FIR 9141 (1)
- Plattform Industrie 4.0 (1)
- Predictive Maintenance (1)
- Process Management (1)
- Process-Mining (4)
- Procurement Strategy (1)
- Product Characteristics (1)
- Production Planning (1)
- Produktion (1)
- Produktionsplanung (5)
- Produktionsplanung und -steuerung (2)
- Produktionsprozess (1)
- Produktionssteuerung (2)
- Prozessanalyse (2)
- Prozesse (1)
- Prozessmanagement (1)
- Prozessmodell (1)
- Rapid Prototyping (1)
- Reaktionsfähigkeit (1)
- Reifegradmodell (1)
- Resilienz (3)
- Risikomanagement (2)
- Rückmeldedaten (1)
- SCEM (1)
- SCM (1)
- SV7133 (1)
- SV7248 (1)
- SV7291 (1)
- SV7315 (1)
- SV7335 (1)
- SV7392 (1)
- SV7420 (1)
- SV7421 (1)
- SV7422 (1)
- SV7432 (1)
- SV7435 (1)
- SV7447 (1)
- Schatten-IT (1)
- Schienengüterverkehr (1)
- Schienenverkehr (2)
- Sector coupling (1)
- Sektorenkopplung (1)
- Software (1)
- Softwareauswahl (1)
- Stammdaten (1)
- Stammdatenqualität (1)
- Studie (1)
- Subscription (1)
- Supply Chain Event Management (1)
- Supply Chain Management (1)
- Supply Risks (1)
- Supply chain event management (1)
- Supply chain management (1)
- Supply-Chain (1)
- Supply-Chain-Design (1)
- Supply-Chain-Event-Management (1)
- Supply-Chain-Management (6)
- Supply-Chain-Resilienz (1)
- Supply-Chain-Risk-Management (1)
- Sustainability (2)
- Technologieauswahl (1)
- Tracking & Tracing (1)
- Trovarit (1)
- U1032 (1)
- Vorgehen (1)
- Wertschöpfungsnetzwerke (3)
- Whitepaper (1)
- additive Fertigung (2)
- additive manufacturing (3)
- benefits (1)
- betriebliche Rückmeldedaten (1)
- betriebliche Rückmeldung (1)
- business applications (1)
- business case (1)
- configuration (1)
- cost benefit model (2)
- cost-benefit-model (1)
- costs (1)
- data democratization (1)
- disruptions (2)
- enterprise resource planning system (1)
- fourth industrial revolution (1)
- framework (1)
- gap analysis (1)
- incorrect data (1)
- information system (2)
- literature review (1)
- manufacturing (2)
- modularization (1)
- order processing (1)
- process mining (1)
- procurement (1)
- procurement strategy (1)
- railconnect (2)
- resilience (2)
- resilience principles (1)
- rev (8)
- supply risks (1)
- sustainability (1)
- textile supply chain (1)
- use case canvas (1)
Institute
In diesem White Paper wird zunächst die Bedeutung von Nachhaltigkeit beschrieben und die neue CSRD-Berichtspflicht in einen größeren Zusammenhang gestellt. Anschließend wird aufgezeigt, wie ein ERP-System bei der Erstellung des CSRD-Berichts unterstützen kann. Mit einer Reihe verschiedener Praxisbeispiele wird das Thema veranschaulicht.
Process mining has emerged as a crucial technology for digitalization, enabling companies to analyze, visualize, and optimize their processes using system data. Despite significant developments in the field over the years, companies—notably small and medium-sized enterprises—are not yet familiar with the discipline, leaving untapped potential for its practical application in the business domain. They often struggle with understanding the potential use cases, associated benefits, and prerequisites for implementing process mining applications. This lack of clarity and concerns about the effort and costs involved hinder the widespread adoption of process mining. To address this gap between process mining theory and real-world business application, we introduce the “Process Mining Use Case Canvas,” a novel framework designed to facilitate the structured development and specification of suitable use cases for process mining applications within manufacturing companies. We also connect to established methodologies and models for developing and specifying use cases for business models from related domains targeting data analytics and artificial intelligence projects. The canvas has already been tested and validated through its application in the ProMiConE research project, collaborating with manufacturing companies.
Systematisation Approach
(2023)
Current megatrends such as globalisation and digitalisation are increasing complexity, making systems for well-founded and short-term decision support indispensable. A necessary condition for reliable decision-making is high data quality. In practice, it is repeatedly shown that data quality is insufficient, especially in master and transaction data. Moreover, upcoming approaches for data-based decisions consistently raise the required level of data quality. Hence, the importance of handling insufficient data quality is currently and will remain elementary. Since the literature does not systematically consider the possibilities in the case of insufficient data quality, this paper presents a general model and systematic approach for handling those cases in real-world scenarios. The model developed here presents the various possibilities of handling insufficient data quality in a process-based approach as a framework for decision support. The individual aspects of the model are examined in more detail along the process chain from data acquisition to final data processing. Subsequently, the systematic approach is applied and contextualised for production planning and supply chain event management, respectively. Due to their general validity, the results enable companies to manage insufficient data quality systematically.
For developing a European industrial cooperation and involvement in the furniture industry, the international research project INEDIT conducted a survey for furniture customers. By finding out the needs and wishes of the customer regarding innovative products and the production process the project will establish a new way for designing and producing furniture. Within INEDIT a platform is built on which customized, technologically innovative and sustainable furniture can be created and produced in a co-creation process. The furniture industry should thus become significantly more flexible, transparent and sustainable. Following the "do-it-together" approach, a business ecosystem will be generated which creates added value not only for customers but also for designers, suppliers and manufacturing companies. In order to involve the customer even more actively in the design process and the production, the platform will provide access to a mix of digital and physical services and is linked to all other stakeholders in the value chain. To match the platform and the process to the needs, wishes and demands of the customer an anonymous survey with 300 participants was developed and conducted. By analyzing the survey, important factors were found for buying and for using furniture considering new technological inventions (e.g. 3D-printing or smart objects), sustainability of the products and the production process. Furthermore, the potential customer-group and their usage of the do-it-together process and additional activities can be tightened.
In der Ära, in der Daten als „neues Gold“ bezeichnet werden, deckt eine Expertise die Kluft zwischen Erkennen und Nutzen dieses Schatzes auf. Sie bietet präzise Einblicke in die Datenmonetarisierung in Deutschland, legt verborgene Potenziale offen und liefert praxisnahe Handlungsempfehlungen, um produzierenden Unternehmen zu helfen, den wahren Wert ihrer Daten gewinnbringend zu nutzen.