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
Industrial companies are moving to a solution driven business by offering smart product service systems (Smart PSS). In addition to an existing portfolio of physical goods and technical services, companies develop new digital services and combine all three offerings to an integrated digital solution business. While the development of new digital services does not pose any major challenges for companies, the successful sale of Smart PSS does. Due to changing customer requirements and value propositions of a solution, the sale of Smart PSS requires new design principles for the sales organization compared to the simple sale of physical goods or technical services. While there are already many publications on the topic of industrial sales in research, the description of Smart PSS in particular represents a new field of research. The combination of both topics is therefore not only interesting from a theoretical point of view, but also has a particularly high practical relevance and impact for industrial companies. This paper therefore describes on the one hand, which characteristics can be used to derive customer requirements for Smart PSS and on the other hand, which effects these requirements have on the sales organization of the industrial company. The design principles give recommendations for the organizational structure, the resources, the information systems and the culture of the company depending on the targeted customer type. In order to identify and describe both the customer requirements and the design principles, two morphological boxes were developed based on a literature research and semi-structured interviews with industrial companies. The paper gives an outlook on the different characteristics of the design recommendations and describes first best practices for the successful transformation of the sales organization.
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.
The European Commission set out the goal of carbon neutrality by 2050, which shall be achieved by fostering the twin transition - sustainability through digitalization. A keystone in this transition is the implementation of a prospering Circular Economy (CE). However, product information required to establish a flourishing CE is hardly available or even accessible. The Digital Product Passport (DPP) offers a solution to that problem but in the current discussion, two separate topics are focused on: its architecture and its application on batteries. The content of the DPP has not been an essential part of the discussion, although access to high-quality data about a product's state, composition and ecological footprint is required to enable sustainable decision-making. Therefore, this paper presents a classification of product data for circularity in the manufacturing industry to emphasize the discussion about the DPP's content. Developed through a systematic literature review combined with a case-study-research based on common operational information systems, the classification comprises three levels with 62 data points in four main categories: (1) Product information, (2) Utilization information, (3) Value chain information and (4) Sustainability information. In this paper, the potential content structure of a DPP is demonstrated for a use case in the machinery sector. The contribution to the science and operations community is twofold: Building a guideline for DPP developers that require scientific input from available real-world data points as well as motivating manufacturers to share the presented data points enabling a circular product information management.
The almost boundless possibilities of realizing saving potentials and innovations drive manufacturing companies to implement Business Analytics as part of the digitalization roadmap. The increasing research within the field of algorithm design and the wide range of user-friendly tools simplify generating first insights from data also for non-professionals. However, small and medium sized companies struggle implementing Business Analytics company-wide due to the lack of competencies. Especially the customization of a multitude of analytic methods in order to match a superordinate, business-relevant question is not done easily. This paper enables researchers as well as practitioners to close the gap between business relevant questions and algorithms. From a practical point of view, this paper helps shortening the search time for a suitable algorithm. Out of a research perspective, it aims to help positioning new algorithms within a structured framework in order to enhance the communication of algorithms’ capabilities.
Pricing is one of the most important, but underestimated tools, to enhance a company's profitability. Especially in the furniture sector, customers place a special interest in cost-efficient products and easy processes. Individualised and sustainable furniture can help to create a unique selling point and deliver real value to the customers. Therefore, a platform to create designs together is needed and can involve several stakeholders in the design and production phase. However, in order to include several stakeholders, the pricing and revenue model need to reflect individual needs and be a benefit to all. In this paper, the initial situation and potential revenue model options will be presented. Furthermore, multiple scenarios for practical use will be discovered and an overview given.
Digital technologies have gained significant importance in the course of the 4th Industrial Revolution and these technologies are widely implemented, nowadays. However, it is necessary to bear in mind that an ill-considered use can quickly have a negative impact on the environment in which the technology is used. For more responsible and sustainable use, the regulation of digital technologies is therefore necessary today. Since the government is taking a very slow response, as the example of the AI Act shows, companies need to take action themselves today. In this context, one of the central questions for companies is: "Which digital technologies are relevant for manufacturing companies in terms of regulation? This paper conducted a quantitative Delphi study to answer this question. The results of the Delphi study are presented and evaluated within the framework of a data analysis. In addition, it will be discussed how to proceed with the results so that manufacturing companies can benefit from them. Furthermore, the paper contributes to the development of an AI platform in the German research project PAIRS by investigating the compliance relevance of artificial intelligence applications.
The digital transformation is changing the way companies think and design their manufacturing environment. Both due to the increasing number of connections between IoT-Devices, tooling machines, and production lines and the phenomenon of the convergence of IT and OT, systems are becoming more complex than years ago. Organizational and cultural changes within manufacturing companies strengthen this trend and form Industry 4.0 environments and cyber-physical production systems (CPPS). As these systems do not longer stay alone but are connected to each other and the company’s outside, the size of the potential attack surface is increasing as well. Besides that, manufacturing companies, small and medium-sized in particular, are facing complex challenges based on lack of knowledge, budget, and time to understand as well as to interpret their current situation and risk level and therefore to derive necessary counter-measures. Efficient as well as pragmatic tools and methods for these companies do not exist. This paper shows a research approach in which the company-specific set-up of Industry 4.0 environment and CPPS is characterized by its potential vulnerabilities. This enables companies to evaluate their risk potential before setting up this kind of environments and to undJo,erstand the potential consequences more precisely. By doing so, companies can derive and prioritize important counter-measures and so to strengthen their level of cyber-security efficiently. This will decrease the number of cyber-security attacks and increase the company’s competitiveness.
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.
Blockchain as Middleware+
(2019)
In supporting decision making of manufacturing companies, the added value of cross-domain data exchange for aggregating information is well established in enterprise organization research and is represented, for example, in the reference model “Internet of Production” (IoP). Currently, there is little research regarding the role of Blockchain technology in such a reference model and how specifically the IoP needs to be expanded to address cross-company data exchange. This paper presents a proposal for such an extension to outline the use of Blockchain technology and to elaborate the open research demands for implementation. In particular, desk research and the development of concrete use cases for cross-company data exchange between business application systems were carried out. The results are, on the one hand, extending the IoP by a third dimension, which corresponds to the supply chain, and, on the other hand clarification of the role Blockchain technology can take in this context.
This paper won the John Burbidge Best Paper Award (see Attachment 2).
In order to cope with the challenges of an increased demand for flexibility, quality and availability of production, maintenance measures provide a major competiveness factor for manufacturing companies. Yet, interdependencies between maintenance and production activities as well as differing target systems within the functional units of an enterprise, especially production and maintenance, raise needs for extended coordination efforts. This paper aims to develop an innovative approach for the coordination between maintenance and production activities for industrial production companies. To achieve this, the novel coordination mechanism is used. It helps to achieve maximised operational availability— for a maximised output of the production system at optimal costs. Based on the developed model, the present paper identifies findings regarding the impact of different maintenance strategies on the medium-term economic efficiency of the production system.