Refine
Year of publication
Document Type
- Article (1)
- Book (1)
- Part of a Book (4)
- Conference Proceeding (31)
- Contribution to a Periodical (8)
- Lecture (2)
- Internet Paper (1)
- Working Paper (3)
Is part of the Bibliography
- no (51)
Keywords
- 02 (3)
- 03 (1)
- 04 (1)
- 5G (2)
- AI (2)
- Architektur <Informatik> (1)
- Artificial intelligence (1)
- Auftragsabwicklung (1)
- Auto-ML (2)
- Beratung (1)
- Big Data (2)
- CPS (3)
- Collaborative Planning (1)
- Compliance (2)
- Conversational interfaces (1)
- Cyber Security (2)
- Cyber-Security (1)
- Data ecosystem (1)
- Datenanalyse (1)
- Datenaustausch (1)
- Datenauswertung (1)
- Datenmanagement (1)
- Datensouveränität (1)
- Delphi study (1)
- Digital Transformation (1)
- Digital sovereignty (1)
- Digital technologies (2)
- Digital transformation (1)
- Digitaler Schatten (2)
- Digitalisierung (1)
- Digitalization (2)
- EMISA (1)
- ERP (1)
- Echtzeitfähigkeit (1)
- Energieflexibilitäten (1)
- Energiemanagement (3)
- Energy Management (1)
- Enterprise-Resource-Planning (1)
- Event-driven IT-Architecture (1)
- Fallstudien (1)
- Finanzkrise (1)
- FlAixEnergy (1)
- General Engineering (1)
- Geschäftsmodelle (1)
- GradeIT (1)
- ILN (1)
- IS Landscape (2)
- IS-architectrue of manufacturing companies (1)
- IT OT Integration (1)
- IT complexity (3)
- IT organization (1)
- IT-Security (1)
- IT-Service-Management (1)
- IT-Unterstützung (1)
- Industrie 4.0 (9)
- Industrie 5.0 (1)
- Industrie-4.0-Environments (1)
- Industry 4.0 (2)
- Industry 5.0 (1)
- Information System Architecture (1)
- Information Systems Integration (1)
- Information systems (3)
- Informationslogistik (1)
- Informationsqualität (2)
- Informationssicherheit (1)
- Informationstechnologie (1)
- Intelligente Produkte (1)
- Intelligentes Stromnetz (1)
- Internet of Production (1)
- KI (2)
- KMU (1)
- Konzepte (1)
- Krise (1)
- Künstliche Intelligenz (4)
- Lastmanagement (1)
- Lastverteilung <Energietechnik> (1)
- Literature Review (2)
- Load Management (1)
- Machine Learning (2)
- Management (1)
- Management Science and Operations Research (1)
- Manufacturing Companies (2)
- Manufacturing companies (1)
- Maturity Index (1)
- Modellierung (1)
- Natural-Language-Processing (1)
- PLM (2)
- Platform (1)
- ProSense (2)
- Product-Lifecycle-Management (1)
- Product-Service-Systems (1)
- Produktdatenmanagement (1)
- Produktion (2)
- Produktionsplanung (1)
- Produktionssteuerung (1)
- Produktlebenszyklus (2)
- RFID (1)
- Regulation (2)
- Rezepte (1)
- SDM (1)
- SGAM (1)
- SME (1)
- SMEs (2)
- SV7185 (1)
- SV7313 (1)
- SV7427 (1)
- SV7459 (1)
- Self-managed (1)
- Sensorsystem (2)
- Smart Data (1)
- Smart Machines (1)
- Smart Products (2)
- Smartification (1)
- Stammdaten (1)
- Stammdatenmanagement (1)
- Strategy and Management (1)
- Studie (2)
- Störungsmanagement (1)
- Subscription Business (1)
- Subscription Business Models (1)
- Supply-Chain-Management (2)
- Supply-Chain-Planning (1)
- TechFit (2)
- Technologiemanagement (2)
- Trends (1)
- Unternehmensberatung (1)
- Wandlungsfähigkeit (1)
- Whitepaper (1)
- Wirtschaftskrise (1)
- Zielsystem (1)
- agile and learning companies (1)
- agile development (1)
- artificial intelligence (1)
- artificial intelligence lifecycle (1)
- cyber-physische Systeme (1)
- data mining (1)
- decision-maker (1)
- development process (1)
- digital technologies (1)
- digital transformation (2)
- eMobility (1)
- economic quantification (1)
- electric vehicle communication (1)
- energy management (3)
- energy management use cases (1)
- energy monitoring (2)
- fix and intersection point of eMobility (1)
- grid management (1)
- information logistics (1)
- information quality (1)
- information system architecture (1)
- load management (2)
- machine learning (1)
- manufacturing companies (2)
- manufacturing company (2)
- manufacturing industry (1)
- product development process (1)
- renewable energies (1)
- rev (8)
- serious gaming (1)
- smart grid architecture model (1)
- smart products (2)
- smart services (1)
- smartification (1)
- supply chain event management (1)
- text data (1)
- text mining (1)
- use case modeling (1)
Institute
- Informationsmanagement (51) (remove)
Im Kontext Industrie 4.0 kommt der Erfassung der anfallenden Daten in der Produktion und deren Nutzung eine zentrale Bedeutung zu. Analysen betrieblicher Daten, welche auf verschiedenen Ebenen generiert werden, lassen Rückschlüsse und Erkenntnisse zur besseren Entscheidungsfindung zu. Die Basis für den Einsatz von Verfahren der Datenanalyse und -auswertung stellt ein hinreichend genaues Abbild der relevanten Daten - der Digitale Schatten - in der Auftragsabwicklung, Produktion, Entwicklung oder angrenzenden Bereichen dar.
Im Rahmen des vorliegenden Beitrages wird ein Modell für den Digitalen Schatten in der Auftragsabwicklung vorgestellt, welches die Basis für die Implementierung von Methoden der Datenanalytik darstellt.
Im Rahmen der vernetzten Digitalisierung stehen insbesondere kleine und mittlere IT-Organisationen und IT-Dienstleister vor der großen Herausforderung, in einem immer dynamischer werdenden Umfeld Leistungen in hoher Qualität zu liefern. Die Verknüpfung dieser Leistungen mit den zu unterstützenden Geschäftsprozessen und Geschäftsmodellen gestaltet sich schwierig und erfordert eine service- und prozessorientierte Denkweise.
Zur Bewältigung dieser Herausforderungen und der Umsetzung des "service- und prozessorientierten Denkens" bietet das IT-Service-Management (ITSM) Methoden und Maßnahmen zur kundenorientierten, prozessgesteuerten und transparenten Erbringung von IT-Services. Trotz bestehender ITSM-spezifischer Referenzmodelle und Regelwerke werden die beschriebenen Methoden von kleinen und mittleren IT-Organisationen und IT-Dienstleistern kaum genutzt. Der Grund hierfür liegt unter anderem in der hohen Komplexität der Regelwerke und dem damit verbundenen großen Implementierungsaufwand. Es fehlt ein Vorgehen, das die Fähigkeiten und Möglichkeiten von kleinen und mittleren Unternehmen (KMU) berücksichtigt, um IT-Prozesse eigenständig hinsichtlich der Serviceorientierung zu bewerten und zu optimieren.
Das Ergebnis des Forschungsvorhabens "GradeIT" ist eine Vorgehensweise, die KMU dabei unterstützt, relevante IT-Service-Prozesse für sich selbst zu identifizieren, um diese dann eigenständig zu bewerten und auf Basis transparent dargestellter Wirkungszusammenhänge zu spezifischen Einflussfaktoren erfolgversprechende Handlungsempfehlungen auszusprechen.
Due to the drastically increasing amount of data, decision making in companies heavily relies on having the right data available. Also because of an increasing complexity of structures and processes, quick and precise flows of information become more important.
This paper introduces a new approach for modelling information flows, creating a basis for an efficient information management. It can be used to structure the information requirements and identify gaps within the information processing.
To display its benefits, the proposed Information Logistics Notation (ILN) is applied to the information logistics of todays and future energy market and grid stability management, both processes of increasing complexity.
The manufacturing industry has to exploit trends like “Industrie 4.0” and digitization not only to design production more efficiently, but also to create and develop new and innovative business models. New business models ensure that even SMEs are able to open up new markets and canvass new customers. This means that in order to stay competitive, SMEs must transform their existing business models.
The creation of new business models require smart products. The required data base for new business models cannot be provided by SMEs alone, whereas smart products are able to provide a foundation, given the creation of smart data and smart services they enable. These services then expand functions and functionality of smart products and define new business models.
However, the development of smart products by small and medium-sized enterprises is still lined with obstacles. Regarding the product development process the inclusion of smart products means that new and SME-unknown domains diffuse during the process. Although there are many models regarding this process there appears to be a substantial lack of taking into account the competencies enabled by the implementation of digital technologies. Hence, several SME-supporting approaches fail to address the two major challenges these enterprises are faced with. This paper generally describes valid objectives containing relevant stakeholders and their allocation to the phases of the product life cycle.
Within each objective the potential benefit for customers and producers is analyzed. The model given in this paper helps SMEs in defining the initiation of a product development project more precisely and hence also eases project scoping and targeting for the smartification of an already existing product.
In order to introduce load management in the manufacturing industry, some obstacles need to be pointed out. This paper presents a feasible approach on how to implement load management measures in companies.
To this end, load management and energy management are explained and distinguished in a first step. Subsequently, the implementation method is introduced. Therefore, by means of this paper, companies will be enabled to use load management measures and significantly reduce their energy costs. In the second part of the paper, the introduced approach will be applied.
Hence, a use case of a manufacturing company is described. Alongside energy analyses with consumption data, specific measures are presented.
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.
In order to introduce load management in the manufacturing industry, some obstacles need to be pointed out. This paper presents a feasible approach on how to implement load management measures in companies. To do so, load management and energy management are explained and distinguished in a first step. Subsequently, the implementation method is introduced. Therefore, by using this paper, companies will be enabled to use load management measure and reduce their energy costs significantly.
Industry 4.0 is driven by Cyber-Physical Systems and Smart Products. Smart Products provide a value to both its users and its manufacturers in terms of a closer connection to the customer and his data as well as the provided smart services. However, many companies, especially SMEs, struggle with the transformation of their existing product portfolio into smart products. In order to facilitate this process, this paper presents a set of smart product use-cases from a manufacturer’s perspective. These use-cases can guide the definition of a smart product and be used during its architecture development and realization. Initially the paper gives an introduction in the field of smart products. After that the research results, based on case-study research, are presented. This includes the methodological approach, the case-study data collection and analysis. Finally, a set of use-cases, their definitions and components are presented and highlighted from the perspective of a smart product manufacturer.
Management of information and the IT systems it is stored in becomes a crucial capability for the industry. However, companies are struggling with the management of the various requirements and frequent changes of technology. Thus, IT complexity has become a major challenge for companies. At the same time, especially manufacturing companies are striving to implement Industrie 4.0 concepts. Many of these even have developed an Industrie 4.0 roadmap including various projects to change the company. Companies can develop such roadmaps by applying the Industrie 4.0 Maturity Index that gives a broad view on necessary capabilities for Industrie 4.0.
In our research, we analyzed data sets from over 10 manufacturing companies that have performed an Industrie 4.0 maturity assessment. Our hypothesis was that IT complexity challenges are hindering the implementation of Industrie 4.0 roadmaps significantly. We could prove this hypothesis at least for the companies analyzed and give insights on the specific challenges. Based on our analysis, we conclude our article by giving concrete recommendations on how to tackle IT complexity.
Digital technologies such as 5G, augmented reality, and artificial intelligence (AI) are currently being used in various ways by manufacturing companies. As the fourth industrial revolution progresses, it has become apparent that reckless use and inadequate regulation of these technologies have a detrimental effect on the environment in which they are utilized. Therefore, regulation of digital technologies is imperative today to ensure more responsible and sustainable use. While governments usually establish regulations, progress is not keeping pace with the demands and hazards of employing digital technologies. The European AI law serves as an example of the considerable distance yet to be covered before binding guidelines are established. Consequently, companies must take proactive measures today to ensure that they use digital technologies responsibly in their environments. In this context, identifying which digital technologies are pertinent to manufacturing companies in terms of regulation is crucial. Furthermore, a comprehensive approach is required to design compliance holistically for digital technologies and to systematically derive the corresponding guidelines. This paper introduces a set of models that not only determine the importance of
compliance in the application of different technologies but also present a framework for methodically designing compliance. Furthermore, the paper contributes to the development of an AI platform in the German research project PAIRS by investigating the compliance relevance of applications such as artificial intelligence.