Refine
Year of publication
Document Type
- Article (3)
- Part of a Book (12)
- Conference Proceeding (105)
- Contribution to a Periodical (3)
- Lecture (2)
Language
- English (125) (remove)
Is part of the Bibliography
- no (125)
Keywords
- 02 (11)
- 03 (9)
- 04 (1)
- 5G (2)
- AI (2)
- APMS (1)
- APS (1)
- Adaptability (1)
- Advanced Planning System (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)
- Bewertung (1)
- Big Data (1)
- Blockchain (1)
- Business Analytics (1)
- Business Analytics Methods (1)
- Business Model (1)
- Business Related Services (1)
- Business analytics (1)
- Business management (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 (1)
- Circular economy (1)
- Circular ecosystems (1)
- Circular product management (1)
- Co-creation (1)
- Compliance (2)
- Condition Monitoring (1)
- Controlling (1)
- Conversational interfaces (1)
- Coordination Need (1)
- Corporate management (1)
- Cost Calculation (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Cyber Security (1)
- Cyber physical production control (1)
- Cyber-Security (1)
- DES (1)
- Data Quality (1)
- Data analytics (1)
- Data ecosystem (1)
- Data set (1)
- Data-based pricings (1)
- Data-driven decision (1)
- Data-driven services (1)
- Datenmigration (1)
- Decision Support System (1)
- Decision support (1)
- Delphi study (1)
- Deviation detection (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 (2)
- Echtzeit (1)
- Echtzeitfähigkeit (1)
- Energieeffizienz (1)
- Energieflexibilitäten (1)
- Energiemanagement (3)
- Energietechnik (1)
- Energy Management (1)
- Enterprise-Resource-Planning (3)
- Erfolg (1)
- Erfolgsfaktor (2)
- Ersatzteillogistik (2)
- Evaluation (1)
- Event Data (1)
- Event-driven IT-Architecture (1)
- Exzellenzcluster (1)
- FlAixEnergy (1)
- Footprint design (1)
- General Engineering (1)
- Geschäftsmodelle (1)
- Global production (1)
- Heuristik (1)
- IH-Check (1)
- ILN (1)
- IS Landscape (2)
- IS-architectrue of manufacturing companies (1)
- IT OT Integration (1)
- IT complexity (3)
- IT landscape (2)
- IT organization (1)
- Incorrect Data (1)
- Industrial Production Companies (1)
- Industrie 4.0 (14)
- 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 (4)
- Information workflow (1)
- Informationslogistik (2)
- Informationsmanagement (1)
- Informationsqualität (2)
- Informationstechnologie (1)
- Instandhaltung (3)
- Instandhaltungsassessment (1)
- Instandhaltungsstrategien (1)
- Instandhaltungstools (1)
- Insufficient Data (1)
- Integrative Production Technology for High-Wage Countries (1)
- Intelligente Produkte (1)
- Intelligentes Stromnetz (1)
- Intelligentes Werkzeug-Maschine System (1)
- Internet of Production (3)
- Investment Scenarios (1)
- IoP (1)
- KPI (1)
- Kennzahlen (1)
- Komplexität (1)
- Konfiguration (2)
- Kosten (1)
- Kybernetik (4)
- Künstliche Intelligenz (1)
- Lastmanagement (1)
- Lastverteilung <Energietechnik> (2)
- Learning-based scheduling (1)
- Leistungsfähigkeit (1)
- Leistungssysteme (1)
- Literature Review (2)
- Load Management (1)
- Logistik (1)
- MES (1)
- Machine Learning (2)
- Maintenance (1)
- Maintenance Services (1)
- Management (1)
- Management Science and Operations Research (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)
- Network configuration (1)
- Netzwerkmanagement (1)
- Outsourcing (1)
- PLM (1)
- PPC (2)
- PPS (3)
- Parameter prediction (1)
- Performance measurement system (1)
- Performance-Management (1)
- Platform (2)
- Predictive quality (1)
- Pricing (1)
- ProSense (2)
- Process analysis (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 (3)
- Production networks (1)
- Production-Management (1)
- Production-Networks (1)
- Produkt-Service-System (1)
- Produktionsmanagement (2)
- Produktionsnetzwerke (1)
- Produktionsplanung (5)
- Produktionsplanung und -steuerung (1)
- Produktionssteuerung (4)
- Produktionssystem (2)
- Produktivität (2)
- Produktkomplexität (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)
- SCM (2)
- SCOR (1)
- SGAM (1)
- SIM-ERP (1)
- SME (1)
- SMEs (1)
- SV7185 (1)
- SV7213 (1)
- SV7312 (1)
- SV7427 (1)
- Sales management (1)
- Sales organization (1)
- Scale-Scope-Dilemma (1)
- Selbstoptimierung (1)
- Self-managed (1)
- Sensorsystem (2)
- Service Engineering (1)
- Service Transformation (1)
- Service modules (1)
- Service-Dominant Logic (1)
- Servicemanagement (1)
- Servitization (1)
- SiZu (1)
- Simulation (3)
- Smart Machines (1)
- Smart Products (2)
- Smart product service system (1)
- Smart product service systems (1)
- Smartification (1)
- Solution Provider (1)
- Spare Parts Logistics (1)
- Spieltheorie (1)
- Standardisierung (1)
- Strategy and Management (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 Design (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 (6)
- System Dynamics Simulation Model (1)
- Task-oriented Reference Model (1)
- TechFit (2)
- Technologiemanagement (1)
- Tele-Service (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)
- Windenergie (2)
- Zielsystem (1)
- acquisition cycle (1)
- agile and learning companies (1)
- agile development (1)
- artificial intelligence (1)
- artificial intelligence lifecycle (1)
- asset management (1)
- behavioral management (1)
- blockchain (1)
- blockchain-based services (1)
- bullwhip effect (1)
- business transformation (1)
- capability maturity model (1)
- case study research (1)
- characteristic curves (1)
- classification (1)
- cognitive automation (1)
- cognitive control unit (CCU) (1)
- companies (1)
- complexity management (1)
- complexity theory (1)
- concurrent engineering (1)
- configuration (2)
- control theory (1)
- critical success factors (1)
- criticality analysis (1)
- customer (1)
- customer productivity (1)
- customer suitability (1)
- cybernetics (4)
- 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 (4)
- digital technologies (1)
- digital transformation (1)
- digital twin (1)
- digitalization (1)
- dispatching rules (1)
- disruptions (1)
- dynamic systems (1)
- e.GO (1)
- eMobility (1)
- economies of sale (1)
- economies of scope (1)
- electric vehicle communication (1)
- energy management (3)
- energy management use cases (1)
- energy monitoring (2)
- energy-efficiency (1)
- engineering to order (1)
- enterprise resource planning system (2)
- 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)
- grasp point (1)
- grid management (1)
- guidelines (1)
- human-robot collaboration (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 quality (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 (2)
- logistics operation curves (1)
- machine learning (1)
- machinery and plant engineering (1)
- machinery and plant engineering industry (1)
- maintenance (1)
- maintenance management (1)
- manufacturing (1)
- manufacturing companies (2)
- manufacturing company (2)
- manufacturing industry (2)
- modularization (1)
- morphology (1)
- order management (1)
- organizational transformation (1)
- parameters (1)
- performance (1)
- performance management (1)
- portfolios (1)
- process coordination centres (1)
- process industries (1)
- procurement (1)
- product development process (1)
- product returns (1)
- product service systems (1)
- production control (1)
- production management (1)
- production network (1)
- production networks (1)
- production planning (1)
- production planning and control (4)
- production system (2)
- production systems (1)
- productivity (1)
- ramp-up (1)
- real-time architecture (1)
- real-time capability (1)
- real-time enterprise (1)
- realtime capability (1)
- recursion level (1)
- reference model (1)
- reliability (1)
- remote work (1)
- renewable energies (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)
- self-optimizing production systems (1)
- self-optimizing systems (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 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 (1)
- supply chain design (1)
- supply chain event management (1)
- supply chain management (2)
- supply chain planning (1)
- sustainability (1)
- system dynamics (4)
- 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)
- viable system model (3)
- working capital management (1)
Institute
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.
Manufacturing companies face the challenge of selecting digitalization measures that fit their strategy. Measures that are initiated and not aligned with the company’s strategy carry the risk of failing due to lack of relevance. This leads to an ineffective use of scarce human and financial resources. This paper presents a target system to help companies select relevant digitalization measures compliant with their strategy for IT-OT-integration projects. The target system was developed based on literature research and expert interviews, and later validated in two use cases. The target system considers the goals of production companies and combines them with digitalization measures. The measures are classified by different maturity levels required for their realization. Thus, the target system enables manufacturing companies to evaluate digitalization measures with regards to their strategic relevance and the required Industrie 4.0 maturity level for their realization. This ensures an effective use of resources.
Industrial companies face tremendous challenges to plan the resources needed to meet future market demands when implementing a PSS based solution portfolio. This paper deals with enhancing the PSS research landscape by presenting an approach to enable better resource-planning in PSS based businesses. In particular, a model is proposed which links resource structures with customer offerings. Linkages are implemented, which connect resources and their use in processes. The model contributes to better understand the complexity in resource structures and elements in the PSS and helps to better understand and describe the structural integration of resources in PSS. This is an important prerequisite for the planning of PSS and allows a qualitative and quantitative description of the service resources allocation enabling companies to build the competence needed to meet customer requirements. A case study based approach was applied for model development.
In an increasingly changing market environment, the long-term survival of companies depends on their ability to reduce latencies in adapting to new market conditions. One strategy to meet this challenge is the anchoring of data-driven decision making, which leads to an increasing use of advanced information technologies and, subsequently, to an increase in the amount of data stored. The complexity of processing these data spurred the demand for advanced statistical methods and functions called Business Analytics. Companies are, despite all promised benefits, overwhelmed with the implementation of Business Analytics as indicated by a failure rate of 65 to 80 %. This paper provides an empirically validated, multi-dimensional model that takes an integrative look at critical success factors for the implementation
of Business Analytics and based on which management recommendations can be generated. For this purpose, constructs of the model are conceptualized, before a structural equation model is developed. This model is then validated with data from 69 industrial partners in the food industry. It is shown amongst others, that the three success factors top management support, IT infrastructure and system quality are pivotal to increase the company performance.
Remote services are services enabled by information and communication components and therefore do not require the physical presence of a service technician at the service object to provide a task. The impact of remote service on the capital goods industry has been increasingly significant over the recent yeas. Still many companies struggle with developing and implemenling successful business model, for remote service. This leads to a lot of unaccomplished benefits for the customer as well as for the companies themselves. A survey throughout companies in Ihe industrial machine and plant production sector was conducted in order to determine what successful companies do differently from those that cannot efficiently implement remote service business models.
The study presented in this chapter identifies key suceess factors of companies that effectively implemented remote services for their products. In order to identify the successful companies a scale for measuring remote service success was developed. Only by the use of this scale further findings regarding the success factors were possible. Key findings include the fact that successful companies actively market their remotle service to their customers. Generally they try to approach their remote service business from the operating company's perspective.
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.
In this paper, we firstly present a target system which is deduced to assess the economic profitability of reverse supply chains. Considering this, we analyse process reference models to define relevant components of an appropriate target system.
Subsequently, we define applicable business models which are the basis for the manufacturer to offer new services to its customers on the one hand and to manage a goal-oriented return, recovery and resell of used products and components on the other hand. This will be done based on the morphology methodology in order to understand the characteristics and attributes of reverse supply chains.
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.
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.
Systematization models for taylor-made sensor system applications and sensor data fit in production
(2015)
Industrial digitalization to realize smart factories is driven by an informatory base of high-resolution data provided by sensor systems on the shop-floor level. The challenge of technical availability of fitting measurement solutions nowadays turns in a struggle of finding the optimal solution for a specific task in an ever-growing sensor market. This paper analyzes and specifies necessary models to systematically derive and describe organizational, technical and informatory requirements for sensor system applications increasing the technological fit for faster integration and lower misinvestment rates.