Refine
Year of publication
Document Type
- Conference Proceeding (114) (remove)
Is part of the Bibliography
- no (114)
Keywords
- 02 (9)
- 03 (9)
- 04 (1)
- 5G (2)
- AI (2)
- APMS (1)
- APS (1)
- Advanced Planning System (1)
- Anlaufmanagement (1)
- Anomaly detection (1)
- Architektur <Informatik> (1)
- Artificial intelligence (1)
- Asset Management (1)
- Auction Mechanism (1)
- Auftragsabwicklung (1)
- Auto-ML (2)
- Automobilindustrie (1)
- Beschaffungsplanung (1)
- Best practices (1)
- Big Data (1)
- Blockchain (1)
- Business Analytics (1)
- Business Analytics Methods (1)
- Business Model (1)
- Business Related Services (1)
- Business analytics (1)
- Business reference model (1)
- Business-Analytics-Methoden (1)
- CMM (1)
- CO2 accounting (1)
- CPS (3)
- CPSL (1)
- Case study research (1)
- Change Management (1)
- Change Request (2)
- Circular economy (1)
- Circular ecosystems (1)
- Circular product management (1)
- Co-creation (1)
- Compliance (2)
- Condition Monitoring (1)
- Condition monitoring (1)
- Controlling (1)
- Conversational interfaces (1)
- Coordination Need (1)
- Cost Calculation (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Cyber Security (2)
- Cyber-Security (1)
- DES (1)
- Data Quality (1)
- Data ecosystem (1)
- Data set (1)
- Data-based pricings (1)
- Data-driven services (1)
- Datenmigration (1)
- Decision Support System (1)
- Delphi study (1)
- Deviation identification strategies (1)
- Dienstleistung (1)
- Dienstleistungsentwicklung (1)
- Dienstleistungsmanagement (1)
- Digital Transformation (1)
- Digital product passport (1)
- Digital sovereignty (1)
- Digital technologies (2)
- Digital transformation (1)
- Digitaler Schatten (3)
- Digitalisation (1)
- Digitalisierung (1)
- Digitalization (3)
- Discrete Event Simulation (1)
- Distribution management (1)
- Do-it-together (1)
- EMISA (1)
- EPCIS (2)
- ERP (1)
- Echtzeit (1)
- Effizienzsteigerung (1)
- Energieeffizienz (1)
- Energieflexibilitäten (1)
- Energiemanagement (2)
- Energietechnik (1)
- Enterprise-Resource-Planning (1)
- Erfolg (1)
- Erfolgsfaktor (2)
- Evaluation (1)
- Event Data (1)
- Event-driven IT-Architecture (1)
- FlAixEnergy (1)
- Geschäftsmodell (1)
- Geschäftsmodelle (1)
- Heuristik (1)
- Hybrides Leistungsbündel (1)
- IH-Check (1)
- ILN (1)
- IPS-System (1)
- IS Landscape (1)
- IS-architectrue of manufacturing companies (1)
- IT OT Integration (1)
- IT complexity (2)
- IT landscape (2)
- IT organization (1)
- IT-Security (1)
- Incorrect Data (1)
- Industrial Production Companies (1)
- Industrie 4.0 (13)
- Industrie 5.0 (1)
- Industrie-4.0-Environments (1)
- Industrie-4.0-Maturity-Index (1)
- Industry 4.0 (2)
- Industry 5.0 (1)
- Information System Architecture (1)
- Information Systems Integration (1)
- Information modeling (1)
- Information systems (3)
- Information workflow (1)
- Informationslogistik (2)
- Informationsmanagement (1)
- Informationsqualität (1)
- Informationssicherheit (1)
- Informationstechnologie (1)
- Instandhaltung (4)
- Instandhaltungsassessment (1)
- Instandhaltungsmanagement (1)
- Instandhaltungsstrategie (1)
- Instandhaltungsstrategien (1)
- Instandhaltungstools (1)
- Insufficient Data (1)
- Intelligente Produkte (1)
- Intelligentes Stromnetz (1)
- Intelligentes Werkzeug-Maschine System (1)
- Internet of Production (4)
- Investment Scenarios (1)
- IoP (1)
- KMU (1)
- KPI (1)
- Kennzahlen (1)
- Komplexität (1)
- Konfiguration (1)
- Kosten (1)
- Kybernetik (3)
- Künstliche Intelligenz (2)
- Lastverteilung <Energietechnik> (1)
- Leistungsfähigkeit (1)
- Leistungssysteme (2)
- Literature Review (1)
- MES (1)
- Machine Learning (2)
- Maintenance (1)
- Maintenance Services (1)
- Management (1)
- Management-Cybernetics (1)
- Manufacturing (1)
- Manufacturing Companies (3)
- Manufacturing Execution System (1)
- Manufacturing companies (1)
- Manufacturing firms (1)
- Manufacturing-Execution (1)
- Maturity Index (2)
- Maturity Model, Maturity Index (1)
- Middleware+ (1)
- Modellierung (1)
- Modularization (1)
- Morphological framework (1)
- Morphology (1)
- MyCarEvent (1)
- Netzwerkmanagement (1)
- Outsourcing (1)
- PLM (1)
- PPC (2)
- PPS (3)
- Performance measurement system (1)
- Performance-Management (1)
- Platform (2)
- Pricing (1)
- ProSense (1)
- Product Service Systems (1)
- Product-Service Systems (1)
- Product-Service-Systems (1)
- Product-as-a-service business (1)
- Product-service system (1)
- Production Planning (1)
- Production Planning and Control (1)
- Production management (2)
- Production-Management (1)
- Production-Networks (1)
- Produkt-Service-System (1)
- Produktentwicklung (1)
- Produktionsmanagement (1)
- Produktionsnetzwerke (1)
- Produktionsplanung (5)
- Produktionsplanung und -steuerung (1)
- Produktionssteuerung (4)
- Produktivität (2)
- Produktkomplexität (1)
- Prognose (1)
- Prozessindustrie (1)
- Prozesskomplexität (1)
- Real-Time Data (1)
- Reference Model (1)
- Reference data model (1)
- Reference model (1)
- Regulation (2)
- Regulatory framework (1)
- Reifegrad (1)
- Reifegradmodell Instandhaltung (1)
- Remote-Service (1)
- Resources (1)
- Ressourcen (1)
- Revenue model (1)
- Risikomanagement (1)
- SCEM (1)
- SCOR (1)
- SGAM (1)
- SIM-ERP (1)
- SME (1)
- SMEs (2)
- SV7185 (1)
- SV7213 (1)
- SV7312 (1)
- SV7313 (1)
- SV7427 (1)
- Sales management (1)
- Sales organization (1)
- Self-managed (1)
- Sensorsystem (1)
- Service Engineering (1)
- Service Transformation (1)
- Service modules (1)
- Service-Dominant Logic (1)
- Servicemanagement (1)
- Servitization (1)
- SiZu (1)
- Simulation (4)
- Smart Machines (1)
- Smart Products (2)
- Smart product service system (1)
- Smart product service systems (1)
- Smartification (1)
- Solution Provider (1)
- Spieltheorie (1)
- Standardisierung (1)
- Structural Model (1)
- Störungsmanagement (2)
- Subscription (1)
- Subscription Business (2)
- Subscription Business Models (1)
- Subscription business (2)
- Subscription economy (1)
- Subskription (1)
- Supply Chain (1)
- Supply Chain Event Management (2)
- Supply Chain Management (2)
- Supply Chain Management User Diversity Gamer types Human Behavior Beer Game Serious Gaming (1)
- Supply chain event management (1)
- Supply-Chain-Data-Management (1)
- Supply-Chain-Management (3)
- System Dynamics Simulation Model (1)
- Task-oriented Reference Model (1)
- TechFit (1)
- Technologiemanagement (2)
- Tele-Service (1)
- Teleservice (1)
- Transformation (1)
- Typification (2)
- VSM (1)
- Value-based Pricing (1)
- Value-based pricing (1)
- Value-in-Use (1)
- Value-in-use (2)
- Virtual Collaboration, Organizations, and Networks, (1)
- Virtuelle Organisation (1)
- Werkzeugbau (1)
- Wertorientiertes Instandhaltungsmanagement (1)
- Windenergie (1)
- Zielsystem (1)
- Zuverlässigkeit (1)
- acquisition cycle (1)
- agile and learning companies (1)
- agile development (1)
- artificial intelligence (2)
- artificial intelligence lifecycle (1)
- asset management (1)
- behavioral management (1)
- blockchain (1)
- blockchain-based services (1)
- business transformation (1)
- capability maturity model (1)
- case study research (1)
- characteristic curves (1)
- classification (1)
- companies (1)
- complexity management (1)
- complexity theory (1)
- concurrent engineering (1)
- configuration (1)
- control (1)
- critical success factors (1)
- criticality analysis (1)
- customer (1)
- customer data (1)
- customer journey (1)
- customer productivity (1)
- customer suitability (1)
- cybernetics (2)
- data analytics (2)
- data mining (1)
- data value (1)
- data value assessment (1)
- data-driven services (1)
- decision-maker (1)
- demand response (1)
- design fields (1)
- development process (1)
- deviation management (1)
- digital products (1)
- digital services (1)
- digital shadow (5)
- digital technologies (1)
- digital transformation (2)
- digital twin (1)
- digitalization (1)
- dispatching rules (1)
- disruptions (1)
- dynamic systems (1)
- e.GO (1)
- eMobility (1)
- economic quantification (1)
- electric vehicle communication (1)
- energy management (3)
- energy management use cases (1)
- energy monitoring (1)
- energy-efficiency (1)
- engineering to order (1)
- enterprise resource planning system (1)
- enterprise social network (1)
- evaluation (1)
- everything-as-a-service (1)
- external factor (1)
- fix and intersection point of eMobility (1)
- food industry (1)
- framework (1)
- gap analysis (1)
- grid management (1)
- guidelines (1)
- human-technology-organisation concept (1)
- improvement program (1)
- incorrect data (1)
- industrial services (1)
- industrielle Dienstleistung (1)
- industrielle Dienstleistungen (1)
- information logistics (1)
- information logistics model (1)
- information sharing (1)
- information system (2)
- information system architecture (1)
- integrated solutions (1)
- intelligent support system (1)
- internet of production (1)
- job release (1)
- job shop (1)
- lean management for service industries (1)
- literature review (1)
- load management (2)
- logistics (1)
- logistics operation curves (1)
- machine learning (1)
- machinery and plant engineering (1)
- machinery and plant engineering industry (1)
- maintenance (1)
- maintenance management (1)
- management (1)
- manufacturing (1)
- manufacturing companies (3)
- manufacturing company (2)
- manufacturing industry (1)
- modularization (1)
- morphology (1)
- optimization (1)
- order management (1)
- organizational transformation (1)
- parameters (1)
- performance (1)
- performance management (1)
- portfolios (1)
- process industries (1)
- procurement (1)
- product development process (1)
- product returns (1)
- product service systems (1)
- production control (1)
- production networks (1)
- production planning (1)
- production planning and control (3)
- production systems (1)
- productivity (1)
- ramp-up (1)
- real-time architecture (1)
- real-time capability (1)
- real-time enterprise (1)
- reference model (1)
- reliability (1)
- remote work (1)
- resilience (1)
- resilience principles (1)
- rev (28)
- reverse logistics (1)
- reverse supply chain (1)
- reverse supply chain management (1)
- risk analysis system (1)
- risk management (1)
- scheduling (1)
- scheduling parameters (1)
- serious gaming (1)
- service (1)
- service based business model (1)
- service lifecycle management (1)
- service process (1)
- service production (2)
- service productivity (1)
- service range complexity (1)
- servitization (2)
- simulation (1)
- small and medium enterprises (1)
- smart grid architecture model (1)
- smart product service systems (1)
- smart product-service systems (1)
- smart products (2)
- smart services (1)
- smartification (1)
- social network (1)
- social software (1)
- socio-technical system (1)
- stress (1)
- structural equation modeling (1)
- subscription business (1)
- subscription business models (2)
- success factors (2)
- supply chain event management (1)
- supply chain planning (1)
- sustainability (1)
- system dynamics (3)
- task model (1)
- text data (1)
- text mining (1)
- use case modeling (1)
- value based maintenance (1)
- value-based pricing (1)
- variant-creating factors (1)
- working capital management (1)
- Änderungsmanagement (1)
Institute
The House of Maintenance
(2009)
In order to guarantee an efficient and effective employment of production equipment, it is essential to identify any possible potential for improving performance, not only in the production process, but also in supporting areas such as maintenance. One of the major tasks in increasing maintenance performance consists of systematically identifying the company’s most significant weaknesses in maintenance organisation and thus being able to implement improvements there where they are most needed.
But how is a company to tackle this important task? To answer this question, this paper describes an assessment and improvement approach, based on a capability maturity model (CMM). By means of this approach, the status-quo of a maintenance organisation can be analysed and its individual improvement opportunities identified.
Due to shorter product life cycles the number of production ramp-ups is increasing, while customers have a soaring demand for more variable and individualized products. In the future, optimizing the production ramp-up will become an important differentiation criterion for companies. Considering the whole supply chain in the ramp-up process becomes therefore indispensable. This is what the presented research in this paper concentrates on. The intention of the research project is to develop a model of a supply chain in the production ramp-up stage. Through this model, approaches for optimizing the production ramp-up in the whole supply chain will be derived.
Further the research project concentrates on measuring the production ramp-up performance in the supply chain, showing the impact on economic and financial measures. The result of this research is an approach to align the tasks and objectives of Supply Chain Management with the tasks and objectives of ramp-up management in order to optimize the whole supply chain in the ramp-up stage.
The Aim of this article is to provide a framework which enhances the existing scope of manufacturing asset management by specifically addressing industrial services provided by external suppliers as an integral part of today’s manufacturing structures. Existing research shows that sourcing industrial services from specialized service organizations establishes complex and unique interdependencies and links total production efficiency to the performance of the external service suppliers. Within the context of the EU-Project InCoCo-S - “Innovation, Coordination and Collaboration in Service Driven Manufacturing Supply Chains” a standard business reference model with key focus on operation and integration of business related services (BRS) in the supply chain has been developed. Based on the service type retrofit this paper aims on the one hand to present the modules of the reference model and on the other hand to explain how the model can be used to enhance the retrofit business.
Outsourcing of logistics operations (especially transportation, distribution & warehousing) is one of the most viable options exercised by the customers to excel in their logistic operations. Despite the growing outsourcing of logistics services to 3PL providers, both the service providers & their customers are facing tremendous problems in synchronizing the business processes & analyzing the performance using common key performance indicators. There is a huge demand for an integrated approach to help 3PL and their customers better synchronize their business processes and have common goals & perspectives. Such integrated approaches often take shape of a process oriented reference model covering many diverse aspects related to the operations & controlling of any business. In this paper, an integrated reference model to support 3PL service operations is presented. The Logistics Reference Model (LRM) developed & validated in some 3PL service companies encompasses standard business processes, performance measurement system and best practices.
In most European countries a structural change from a production dominated towards a service oriented society is progressing. Companies increasingly consider services as means to gain competitive advantages in a global competition. In order to provide holistic, value-adding solutions while simultaneously guaranteeing high quality standards, production companies increasingly join forces with external services‘ providers. Models, methods and tools for service development are rare and in most cases immature. In the context of virtual services‘ development this leads to a dual set of simultaneous chal-lenges: an alignment of systematic services‘ and product development and the coordination of distributed R&D partners. The objective is to provide a meta-process that identifies all steps and decision points necessary to successfully develop innovative services. It is a result of combined service development and virtual enterprises‘/ networks‘ research.
Companies in the manufacturing sector are confronted with an increasingly dynamic environment. Thus, corporate processes and, consequently, the supporting IT landscape must change. This need is not yet fully met in the development of information systems. While best-of-breed approaches are available, monolithic systems that no longer meet the manufacturing industry's requirements are still prevalent in practical use. A modular structure of IT landscapes could combine the advantages of individual and standard information systems and meet the need for adaptability. At present, however, there is no established standard for the modular design of IT landscapes in the field of manufacturing companies' information systems. This paper presents different ways of the modular design of IT landscapes and information systems and analyzes their objects of modularization. For this purpose, a systematic literature research is carried out in the subject area of software and modularization. Starting from the V-model as a reference model, a framework for different levels of modularization was developed by identifying that most scientific approaches carry out modularization at the data structure-based and source code-based levels. Only a few sources address the consideration of modularization at the level of the software environment-based and software function-based level. In particular, no domain-specific application of these levels of modularization, e.g., for manufacturing, was identified. (Literature base: https://epub.fir.de/frontdoor/index/index/docId/2704)
Pricing is one of the most important, but underestimated tools, to enhance a company's profitability. Especially value-based pricing has a high potential to reach higher levels of satisfaction because it equates the needs of providers and customers. Even though, it is a well-known price model and promises higher satisfaction, many companies struggle to implement it. Especially the manufacturing industry is characterized by cost-plus pricing and competition-based pricing. However, especially for digital products these pricing strategies are insufficient. Therefore, this paper aims at exploring the design fields for value-based pricing of digital products in the manufacturing industry. To achieve this, the basics of digital products and value-based pricing are explored. Furthermore, an expert workshop is conducted that follows a framework for value-based pricing consisting of four consecutive steps analysis, price strategy, pricing, and market launch to capture the design fields. This paper concludes with limitations, and practical and research implications.
Reinforced through the pandemic and shaped by digitalization, today's professional working environment is in a state of transformation. Working remotely has become a vital component of many professions' regular routines. The design of remote work environments presents challenges to organizations of all sizes. By providing a classification, this paper reveals a comprehensive understanding of the fields of design to be considered to establish lasting remote work concepts in organizations. A hierarchical classification with four dimensions consisting of human, technology, organization, and culture, seven design elements and, twenty design parameters indicates to organizations the fields of design that need to be examined. To satisfy both the theoretical foundation and the practical application, design elements are derived by implementing a systematic review of the literature that represents key areas of interest for remote work. Additionally, these are verified and complemented by a dedicated case study research to incorporate practice-oriented design parameters.
Gap Analysis for CO2 Accounting Tool by Integrating Enterprise Resource Planning System Information
(2023)
Detailed carbon accounting is the foundation for reducing CO2 emissions in manufacturing companies. However, existing accounting approaches are primarily based on manual data preparation, although manufacturing companies already have a variety of IT systems and resulting data available. The gap analysis carried out based on the GHG Protocol and an reference ERP system shows how much of the required information for CO2 accounting can be integrated from an ERP system. The ERP system can cover 20 % of the required information. The information availability can be increased to 49 % through additionally identified modifications of the ERP system. Integrating the CO2 accounting tool with other systems of the IT landscape, e. g. Energy Information System, enables an additional increase.
Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural language processing, provides a solution to extract valuable insights from unstructured data, enabling manufacturing companies to make informed decisions and improve their processes. Despite the potential benefits of text mining technology, many manufacturing companies struggle to implement use cases due to various reasons. Therefore, the project VoBAKI (IGF-Project No.: 22009 N) aims to enable manufacturing companies to identify and implement text mining use cases in their processes and decision-making processes. The paper presents an analysis of text mining use cases in manufacturing companies using Mayring's content analysis and case study research. The study aims to explore how text mining technology can be effectively used in improving production processes and decision-making in manufacturing companies.
With the development of publicly accessible broker systems within the last decade, the complexity of data-driven ecosystems is expected to become manageable for self-managed digitalisation. Having identified event-driven IT-architectures as a suitable solution for the architectural requirements of Industry 4.0, the producing industry is now offered a relevant alternative to prominent third-party ecosystems. Although the technical components are readily available, the realisation of an event-driven IT-architecture in production is often hindered by a lack of reference projects, and hence uncertainty about its success and risks. The research institute FIR and IT-expert synyx are thus developing an event-driven IT-architecture in the Center Smart Logistics' producing factory, which is designed to be a multi-agent testbed for members of the cluster. With the experience gained in industrial projects, a target IT-architecture was conceptualised that proposes a solution for a self-managed data-ecosystem based on open-source technologies. With the iterative integration of factory-relevant Industry 4.0 use cases, the target is continuously realised and validated. The paper presents the developed solution for a self-managed event-driven IT-architecture and presents the implications of the decisions made. Furthermore, the progress of two use cases, namely an IT-OT-integration and a smart product demonstrator for the research project BlueSAM, are presented to highlight the iterative technical implementability and merits, enabled by the architecture.
More and more companies in the mechanical and plant engineering industry are transforming their business model and evolving from product to solution providers. Subscription business models play a key role in this development. They enable companies to enter long-term collaborative relationships with customers and thus monetize the potential of Industry 4.0. However, this development is not easy for many companies and is associated with numerous hurdles. One of these hurdles is the development of a suitable range of services tailored to customer needs. In this context, the bundling of individual services to service modules plays a key role in realizing new value propositions. In practice, however, companies often lack an understanding of which services need to be combined in what way to be able to realize new value propositions. Accordingly, the goal of this work is to identify relevant services for subscription business models, to cluster them into meaningful value-adding bundles, and to derive new value propositions accordingly. The new value propositions in turn enable mechanical and plant engineering companies to strengthen customer loyalty and thus achieve long-term economic success.
The mechanical and plant engineering industry faces a stagnation in the new machinery market and is relying on innovative business models such as subscription to overcome these. In this business model, individually customized solution packages are offered. The success of these models depends directly on the future success of the customer, making the selection of the right customers crucial. The aim of this paper is to identify the criteria that indicate the suitability of customers for subscription models. While there are individual descriptions of suitability criteria in the existing literature, there is a lack of comprehensive consideration of customer relationship, customer company, and customer market, as the extensive consideration was not necessary in the transactional sale of machines until now. Therefore, in this study, expert interviews are conducted with companies in mechanical and plant engineering that offer subscription models. The results show criteria that are used to evaluate customers in the six main categories of creditworthiness, market potential, benefit potential, feasibility, relationship, and sales effort. In total, 24 criteria can provide insight into the suitability of the customer for a successful subscription relationship. These criteria are intended to develop target systems that meet the requirements of different stakeholders in the customer and thus support the economic viability of these business models.
The adoption of artificial intelligence (AI) technologies in manufacturing companies is challenging, particularly for SMEs that lack the necessary skills to develop and integrate AI-based applications (AI applications) into their existing IT system landscape. To address this challenge, the research project VoBAKI (IGF-Project No.: 22009 N) aims to enable SMEs to identify and close skill gaps related to AI application development and implementation using proper sourcing strategies. This paper presents the interim results from the second phase of the project, which involves identifying the tasks in the lifecycle of AI applications and determining the specific skills required for executing these tasks. The presented results provide a detailed lifecycle including the phases for the development and usage of AI applications, as well as the specific tasks that SMEs must consider when implementing an AI application. These results serve as the foundation for future research regarding the required skills to execute the presented tasks and provide a roadmap for SMEs to close skill gaps and successfully implement AI applications.