Refine
Year of publication
Document Type
- Article (9)
- Book (4)
- Part of a Book (25)
- Conference Proceeding (86)
- Contribution to a Periodical (17)
- doctorallecture (1)
- Doctoral Thesis (1)
- Lecture (4)
- Internet Paper (4)
- Preprint (1)
Language
- German (64)
- English (95)
- Multiple languages (2)
Is part of the Bibliography
- no (161)
Keywords
- 02 (19)
- 03 (3)
- 3GPP (1)
- 5G (5)
- 5G mobile communication (2)
- 5G use case (1)
- 5G-Mobilfunk (1)
- 5G-Technology (1)
- AI (2)
- Aachener PPS-Modell (1)
- Abschlussbericht (1)
- Adaptability (1)
- Additive Fertigung (1)
- Adherence To Delivery Dates (1)
- After-Sales-Service (1)
- Agile management Systems (1)
- Agriculture (1)
- Anlaufmanagement (1)
- Arbeit 4.0 (2)
- Arbeitsgestaltung (2)
- Artificial intelligence (1)
- Assembly (1)
- Asset Management (1)
- Assistance Systems (1)
- Augmented Reality (1)
- Automobilindustrie (1)
- B2B customer service (1)
- BITKOM (1)
- Beratung (1)
- Big Data (2)
- BigPro (1)
- Blockchain (1)
- Business analytics (2)
- Business ecosystems (1)
- Business model innovation (1)
- Business-Ecosystems (1)
- CPS (4)
- CPSL (1)
- Capacity Utilization (1)
- Carrier (1)
- Case study research (1)
- Change Management (1)
- Change Request (2)
- Changeability (1)
- Chatbot (1)
- Circular economy (1)
- Cloud (1)
- Cluster Smart Logistik (1)
- Co-Creation (2)
- Competencies (1)
- Crisis management (1)
- Cross-Industry Innovation (1)
- Customer Perspective (1)
- Customer Success Management (1)
- Customer success managementl (1)
- Customer-Success-Management (1)
- Cyber Security (1)
- Cyber physical production control (1)
- DMS (1)
- Data Analytics (1)
- Data Products (1)
- Data Quality (1)
- Data analytics (1)
- Data-Centric Platform (1)
- Data-based pricings (1)
- Data-driven Services (1)
- Data-driven decision (1)
- Data-driven services (1)
- Datenaustausch (2)
- Datenmanagement (1)
- Datenpotenziale (1)
- Datensouveränität (1)
- Decision Support (2)
- Decision Support System (1)
- Decision support (1)
- Demand Forecasting (1)
- Design of Experiments (1)
- Deviation Detection (1)
- Dienstleistung (1)
- Dienstleistungssektor (1)
- Dienstleistungswende (1)
- Digital Office (1)
- Digital Transformation (1)
- Digital architecture management (1)
- Digital platform design (1)
- Digital transformation (1)
- Digital-Architecture-Management (1)
- Digital-Business-Model (1)
- Digitale Infrastrukturen (1)
- Digitale Steuerung (1)
- Digitale Transformation (2)
- Digitales Zeitalter (1)
- Digitalisation (1)
- Digitalisierung (10)
- Digitalization (1)
- Digitization (2)
- Digitization of SMEs (1)
- Discrete Event Simulation (1)
- Disruption Management (1)
- Disruptions (1)
- Distribution (1)
- Distribution management (1)
- Distributionsplanung (1)
- Disturbance Management (1)
- Do-it-together (1)
- E-Learning (1)
- ECM (1)
- EPCIS (1)
- ERP (2)
- ERP-System (1)
- Echtzeitfähige Systeme (1)
- Echtzeitfähigkeit (1)
- Ecosystem-Design (1)
- Efficiency Improvement (1)
- Employee qualification (1)
- End-2-End-Transparenz (1)
- Energiemanagement (2)
- Enterprise-Resource-Planning (1)
- Entscheidungsunterstützung (3)
- Ersatzteillogistik (1)
- Evaluation (2)
- Event Data (1)
- Expertise (1)
- Fallstudien (1)
- Feedback data (1)
- Finanzkrise (1)
- Flexibilität (1)
- Flexible manufacturing system (1)
- Food Production (1)
- Footprint design (1)
- Forecasting capability (1)
- Forschung (1)
- Forschungsbeirat (1)
- Freight forwarder (1)
- Furniture Production Process (1)
- Führungskraft (1)
- Geschäftsmodell (2)
- Geschäftsmodelle (1)
- Global production (1)
- Heterogene Netze (1)
- Heterogeneous networks (1)
- Human-centered work design (1)
- Humanitarian logistics (1)
- IT complexity (1)
- IT-Architektur (2)
- IT-Komplexität (1)
- IT-Unterstützung (1)
- Implementation barriers (1)
- Implementation success factors (1)
- Incorrect Data (1)
- Industrial Internet of Things (1)
- Industrial communication (1)
- Industrial sustainability (1)
- Industrie (1)
- Industrie 4.0 (18)
- Industrielle Kommunikationstechnik (1)
- Industry 4.0 (1)
- Information Logistics (1)
- Information Transparency (1)
- Information management (1)
- Informationslogistik (1)
- Informationsmanagement (1)
- Innovation (1)
- Innovative Furniture (1)
- Instandhaltung (1)
- Insufficient Data (1)
- Integration management (1)
- Integrationsmangement (1)
- Intelligent Product (1)
- Interface definition (1)
- Internet der Dinge (2)
- Internet of Production (4)
- Internet of Production (IoP) (1)
- Internet of Things (3)
- IoP (1)
- IoT (1)
- IoT platform (1)
- IoTPlattform (1)
- KI (5)
- KMAT (1)
- KMU (2)
- KPI (2)
- Kennzahlen (1)
- Key Performance Indicators (1)
- Key-Performance-Indicator (1)
- Knowledge representation (1)
- Kommunikation (1)
- Kompetenzentwicklung (2)
- Kompetenzmanagement (3)
- Konferenz (2)
- Konfigurierbare Materialien (1)
- Kongress (1)
- Konzepte (1)
- Krise (1)
- Kundendienst (1)
- Kundenprobleme (1)
- Kybernetik (1)
- Künstliche Intelligenz (5)
- Lean Manufacturing (1)
- Learning Game (1)
- Lebensmittelindustrie (1)
- Leistungsfähigkeit (2)
- Lernen (1)
- Lernen und Arbeiten (2)
- Letzte-Meile-Logistik (1)
- Lieferketten (1)
- Logistik (5)
- Logistikdienstleister (1)
- MES (1)
- Machine Learning (1)
- Machine learning (1)
- Machine-to-machine communications (1)
- Manufacturing (2)
- Manufacturing Companies (2)
- Manufacturing Execution System (1)
- Manufacturing firms (1)
- Manufacturing industry (1)
- Maschinen- und Anlagenbau (1)
- Matching (2)
- Maturity Index (1)
- Maturity Model, Maturity Index (1)
- Maturity model (1)
- Mechanical and Plant Engineering (1)
- Mittelstand (1)
- Mixed-Model Assembly (1)
- Mobile Datenkommunikation (1)
- Modellierung (1)
- Morphology (2)
- Multi-RAT (1)
- Nachhaltigkeit (1)
- Natural-Language-Processing (1)
- Network (1)
- Network architecture (1)
- Network configuration (1)
- Network function virtualization (1)
- Network slicing (1)
- Networked (1)
- Netzwerk (1)
- Netzwerkarchitektur (1)
- New Industrial Work (2)
- New Work (2)
- New learning (1)
- Online retail (1)
- Onlinehandel (1)
- Ontology (1)
- Operating models (1)
- Operations planning (1)
- Optimized capacity utilization (1)
- Order Quantity (1)
- PPC (1)
- PPS (3)
- PPS-Buch (1)
- Performance-Management (1)
- Plastics industry (1)
- Platform (1)
- Platform economy (1)
- Plattform Industrie 4.0 (1)
- Potential Benefits (1)
- Practical experience (1)
- Predictive Maintenance (1)
- Prescriptive Maintenance (2)
- Pricing Models (1)
- Procurement Strategy (1)
- Product Characteristics (1)
- Product-as-a-service business (1)
- Production (1)
- Production Control (3)
- Production Management System (1)
- Production Planning (1)
- Production facilities (1)
- Production management (2)
- Production networks (1)
- Produktdatenmanagement (1)
- Produktentwicklung (1)
- Produktionsabläufe (1)
- Produktionsmanagement (2)
- Produktionsplanung (6)
- Produktionsplanung und -steuerung (2)
- Produktionssteuerung (6)
- Produktionssystem (2)
- Quarrying Industry (1)
- Quarrying industry (1)
- Re- & upskilling (1)
- Reaktionsfähigkeit (1)
- Realisierung (1)
- Reference data model (1)
- Reference model (1)
- Regulatory framework (1)
- Relay traffic (1)
- Reliability (1)
- Replenishment Time (1)
- Requirements (1)
- Resource deployment (1)
- Return on Investment (1)
- Rezepte (1)
- Risikomanagement (2)
- Risk assessment (1)
- Risks (1)
- Route sectioning algorithm (1)
- SCEM (1)
- SCM (2)
- SME (1)
- SV7067 (1)
- SV7088 (1)
- SV7113 (1)
- SV7126 (1)
- SV7131 (1)
- SV7136 (1)
- SV7169 (1)
- SV7190 (1)
- SV7213 (1)
- SV7240 (1)
- SV7242 (1)
- SV7261 (1)
- SV7266 (1)
- SV7276 (1)
- SV7289 (1)
- SV7344 (1)
- SV7371 (1)
- SV7404 (1)
- SV7420 (1)
- SV7427 (1)
- SV7436 (1)
- SV7459 (1)
- Scenario pattern (1)
- Scenario technique (1)
- Selbstoptimierung (2)
- Sensors (1)
- Service (1)
- Service engineering (1)
- Service-Management (1)
- Setup time optimizing sequencing (1)
- Similarity Analysis (1)
- Simulation (1)
- Skills forecasting (1)
- Skills management (1)
- Smart Service (1)
- Smart Services (4)
- Smart farming (1)
- Smart product service system (1)
- Smart services (1)
- Smartification (1)
- Social Manufacturing (1)
- Socio-technical analysis (1)
- Sociotechnical (1)
- Software defined networking (1)
- Software defined platform (1)
- Softwaretool (1)
- Strategie (1)
- Strategy (1)
- Studie (3)
- Störungsmanagement (2)
- Subscription (2)
- Subscription Business (1)
- Subscription Business Models (1)
- Subscription business (2)
- Subscription-Economy (1)
- Subscription-Modelle (1)
- Suchmaschine (1)
- Supply Chain Event Management (2)
- Supply Risks (1)
- Supply chain (1)
- Supply-Chain (1)
- Supply-Chain-Design (2)
- Supply-Chain-Management (10)
- Supply-Chain-Networks (1)
- Supply-Chain-Resilienz (1)
- Sustainability (4)
- Swarm robotics (1)
- Systemplattform (1)
- Task View (1)
- Task-oriented Reference Model (1)
- Taxonomy (1)
- Technischer Wandel (1)
- Training (1)
- Transformation (1)
- Transport order (1)
- Trends (1)
- Twin transition (1)
- Type-specific (1)
- Typification (2)
- Typology (1)
- U1021 (1)
- Unternehmensberatung (1)
- Urbane Logistik (1)
- User-Story (1)
- Value capture (1)
- Value creation (1)
- Value-based Pricing (1)
- Value-in-Use (1)
- Value-in-use (2)
- Variantenfließfertigung (1)
- Vernetzung (1)
- Viable System Model (2)
- Visual Analytics (1)
- Vorgabezeit (1)
- Vorgehensmodell (1)
- Weiterbildung (1)
- Whitepaper (1)
- Wireless communication (1)
- Wirtschaft (1)
- Wirtschaftskrise (1)
- Wissenschaft (2)
- Wissensmanagement (1)
- Zeitwirtschaft (1)
- Zertifikatskurs (1)
- acatech industrie 4.0 Maturity Index (1)
- acquisition cycle (1)
- agile company (1)
- air mobility (1)
- analysis of potential (1)
- artificial intelligence (1)
- artificial neural networks (1)
- asset management (1)
- attribute and data harmonization (1)
- autonomous technology scouting (1)
- blockchain (1)
- blockchain-based services (1)
- bullwhip effect (1)
- business ecosystems (1)
- business model (3)
- case study research (3)
- classification systems (1)
- condition monitoring (2)
- control theory (1)
- counter measures (1)
- criticality analysis (1)
- cyber-physische Systeme (1)
- cybernetics (1)
- data democratization (1)
- data valuation framework (2)
- data value (3)
- data value assessment (1)
- datenbasierte Entscheidungen (1)
- decision making (1)
- decision support (2)
- deep learning (1)
- design (1)
- deviation detection (1)
- digital services (1)
- digital shadow (3)
- digitale Technologien (2)
- digitale Transformation (1)
- digitalization (1)
- disruption management (1)
- disruptions (1)
- disturbance management (2)
- ecosystem design (1)
- energy consumption (1)
- energy efficiency (1)
- energy revolution (1)
- engineering valley (1)
- enterprise resource planning system (1)
- flight demand (1)
- fourth industrial revolution (1)
- human-robot collaboration (1)
- hybride Systeme (1)
- hype cycle (1)
- i4.0 (1)
- iIntangible assets (1)
- industrial pilots (1)
- industry (1)
- industry 4.0 (1)
- information logistics model (1)
- information management (1)
- infrared sensor (1)
- innovation processes (1)
- intangible assets (1)
- intelligent maintenance systems (1)
- intelligent support system (1)
- internet of production (1)
- inventory management (2)
- it-architecture (1)
- logistics (1)
- machine learning (3)
- machine tools (1)
- machinery and plant engineering industry (1)
- maintenance engineering (1)
- maintenance services (1)
- maintenance value contribution (1)
- manufacturing (1)
- manufacturing companies (2)
- microgrids (1)
- milling (1)
- natural language processing (1)
- nonlinear optimization (1)
- order (1)
- order processing (1)
- peak flattening (1)
- predictive maintenance (1)
- process mining (1)
- procurement (1)
- procurement strategy (1)
- production control (1)
- production management (1)
- production network (1)
- production networks (1)
- production planning and control (1)
- reaction strategy (1)
- real-time systems (1)
- realtime capability (1)
- recursion level (1)
- resilience (1)
- rev (31)
- risk analysis system (1)
- risk management (1)
- science (1)
- service engineering (1)
- smart product service systems (2)
- smart services (1)
- subscription business (1)
- subscription business models (1)
- supply chain (3)
- supply chain event management (1)
- supply chain management (2)
- supply risks (1)
- switchgear (1)
- system dynamics (3)
- task model (1)
- technology management (1)
- technology scouting (1)
- text mining (1)
- textile supply chain (1)
- thermal monitoring (1)
- thin-haul (1)
- transport demand (1)
- viable system model (2)
- Änderungsmanagement (2)
- übergreifende Koordination (1)
Institute
- Business Transformation (14)
- Dienstleistungsmanagement (35)
- FIR e. V. an der RWTH Aachen (161)
- Informationsmanagement (43)
- Produktionsmanagement (72)
Towards a Methodology to Determine Intersubjective Data Values in Industrial Business Activities
(2021)
This paper contributes to a valuation framework for valuing data as an intangible asset. Especially those industrial manufacturers developing and delivering holistic digital solutions are limited in calculating the true business value of data initiatives. Since the value of data is strongly dependent on the respective use case, a completely objective valuation is not possible. This complicates decision-making on the internal side regarding investments in digital transformation, and on the external side to communicate existing benefits to third parties via financial reporting. Therefore, the target is to design a valuation framework that allows industrial manufacturers to determine an intersubjective, i.e., traceable and transparent, data value. In order to develop a framework that can be applied in practice, the approach is based on industrial case study research.
In immer komplexer werdenden Wertschöpfungsketten wird die Geschwindigkeit, mit der Informationen weitergegeben und entsprechende Maßnahmen umgesetzt werden können, zu einem entscheidenden Wettbewerbsvorteil. In der Realität kommt es jedoch auf dem Weg zwischen einem Ereignis und einer passenden Reaktion zu verschiedenen zeitlichen Verzögerungen, sogenannten Latenzen, die die Agilität eines Unternehmens erheblich hemmen. Insbesondere das Supply-Chain-Management mit seiner koordinierenden Funktion wird dadurch vor enorme Herausforderungen gestellt. Schlüsseltechnologien im Zeitalter von Digitalisierung und Industrie 4.0 bieten jedoch enorme Potenziale, die verschiedenen Formen von Latenzen zu reduzieren. Der Beitrag untersucht die unternehmensübergreifenden Effekte dieser Verzögerungen entlang der Supply-Chain und beleuchtet darüber hinaus die Potentiale konkreter digitaler Technologien auf selbige.
A large number of product-accompanying services in the machinery and plant engineering industry is based on the cross-company exchange of data and information. By providing services, additional sales potential on the manufacturer side as well as far-reaching product and process advantages for appliers can be reached. However, the necessary cross-company exchange of information is nowadays limited due to a lack of trust in the interacting partner and the applicable existing technologies, which results in significant losses in the terms of business potential. The uncovering of this potential now seems to be made possible by the use of the Blockchain technology. Through the key factors security, immutability, transparency and decentralisation, it serves as an enabler for cross-company communication and product-accompanying services. The technological implementation of a Blockchain can take on a broad spectrum of attributes, which can lead to decisive restrictions for the execution of services. This justifies the necessity for a qualified and context-related assessment of service-types-individual specifications and the resulting requirements on the system. Within the scope of this paper, different types of product-accompanying services are identified and analysed regarding their requirements for a Blockchain-based machinery and plant connection. This can serve as a basis for a qualified and goal-oriented configuration of the Blockchain.
The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.
The aim of the related research project eCloud is to enable small and medium sized enterprises (SMEs) to implement flexible energy management without in-depth energy knowledge and with little distraction from day-to-day business, which is prepared for current and future challenges in the field of energy use. The overall result is a validated prototype for a plug and automate capable (i.e. without implementation effort) operational energy management, which can be successively set up in SMEs based on a cloud platform. Through its gradual and modular implementation, energy management meets the individual needs of each company and contributes to energy system transformation and climate protection by reducing energy costs and greenhouse gas emissions by up to 25%. In total, three expansion stages are available with the levels of monitoring, load management and grid usage, which consist of various Software as a Service (SaaS) modules from the cloud that can be retrieved as required. Thus, the user only needs a minimal hardware intervention in his production and saves a complex IT infrastructure. The methodology developed has been successfully applied by two user companies so far. This proves the effectiveness of the method.
Since 2016, the “Digital in NRW” Competence Centre has been supporting SMEs in the manufacturing industry in designing their individual digital transformation. With an Industry 4.0 maturity assessment, we define the status quo of SMEs, derive SME-specific measures from this, develop a digitalization roadmap and accompany the SME transformation. This paper presents the results of the four-year SME support. By analyzing the results of all maturity assessments, potential analysis and design workshops, we present the most frequent and most effective measures for a successful digital transformation of SMEs. The result of the paper is an action guideline for SMEs to initiate their own digital transformation based on formalized experience.
Störungen und Änderungen des Produktionssystems führen zu Kosten und Aufwänden, bieten jedoch auch die Chance zur kontinuierlichen Verbesserung.
Um Änderungsanfragen zu erfassen, können etablierte Ansätze genutzt werden. Diese vernachlässigen jedoch die Anforderungen, denen sich ein Produktionssystem im Zeitalter der Digitalisierung ausgesetzt sieht. Der vorliegende Beitrag stellt einen Ansatz zur standardisierten Erfassung von Änderungsanfragen vor, welcher die Ausgangsbasis für die Bewertung von Änderungsanfragen in bestehenden IT-Systemen bietet.
In recent years, the complexity of the management of supply chains has increased significantly due to the growing individualization of products and dynamics of the market environment. To remain competitive, ensuring efficient and flexible processes and procedures along the entire supply chain are of particular importance for companies. Especially in the inter-company context, decisions must be made as quickly and correctly as possible. To enable good decision-making processes data must be processed and provided in a targeted manner. Currently, however, the necessary transparency is often lacking within the supply chains. In this article, a software-based assistance system for decision support on supply chain level is presented that aims to increase the transparency and efficiency of the decision-making process. A concept for decision support on supply chain level is presented. This paper focuses on the conceptual linkage of relevant decisions and data. Therefore, indicators are identified and linked with the relevant decisions. Moreover, a suitable way of visualizing the identified indicators for each decision in a user-friendly manner is defined. These results are then used to implement the software tool.
Data Driven Services
(2020)
Als größter Berufsverband für Beschäftigte im Kundendienst und im After-Sales-Service innerhalb der DACH-Region verbindet der Kundendienst-Verband Deutschland e. V., kurz KVD, unterschiedliche Akteure
im Thema Service, so zum Beispiel aus Wissenschaft und Wirtschaft. Dabei gelingt es dem KVD nicht nur, seine Mitglieder untereinander zu vernetzen, sondern ihnen stets brandaktuelle Inhalte anzubieten.
Die enge Kooperation mit Forschungseinrichtungen ermöglicht es dem KVD und seinen Mitgliedern immer wieder, neue Themen und nützliche Werkzeuge für die praktische Anwendung zur Verfügung zu stellen.
Progress in the development of small electric and hybrid aircraft promises business opportunities for thin-haul air mobility services. In order to develop demand-oriented flight plan scenarios for Germany, this paper presents a model to estimate the marked volume of thin-haul air mobility. To quantify the potential demand, our model includes the steps of trip generation, trip distribution and mode choice. Trip generation and distribution takes place between 412 geographic subdivisions of Germany and is based on calibrated traffic forecast data for the year 2030. For the first time the five relevant modes of transport, namely: car, intercity train, intercity bus, commercial aircraft and thin-haul air mobility services, have been included in one model. The step of choosing the transport mode is implemented via a generalized cost approach, taking into account travel costs and travel time. Additionally, route modeling of all transport modes is enhanced by real market data using large-scale data readouts of web interfaces. As primary result we predict a market share of 6 % or 81 million trips per year for thin-haul air mobility services. The demand concentrates on a small number of airports: 30 % of the trips are estimated to be between only 20 airports. Hubs and main routes are identified to offer the potential for scheduled air services.
Auf Basis einer systematischen Literaturanalyse wurden insgesamt 11 Kennzahlen identifiziert, welche die Grundlage zur Beschreibung der operativen Leistungsfähigkeit von Unternehmen bilden. Die Kennzahlen wurden in die vier Leistungsdimensionen Effizienz, Qualität, Zeit und Flexibilität eingeteilt.
Es geht um die Entwicklung eines Software-Tools zur Unterstützung bei der Auswahl von geeigneten 3D-Druckdienstleistern im Kontext der additiven Ersatzteillogistik. Im Fokus steht der Logistikdienstleister als potentieller Nutzer des Softwaretools. Das Softwaretool erfüllt zwei zentrale Funktionen: Überprüfung ob ein Ersatzteil additiv gefertigt werden soll und Auswahl eines konkreten Produzenten durch Matchingalgorithmus.
The shop floor is a dynamic environment, where deviations to the production plan frequently occur. While there are many tools to support production planning, production control is left unsupported in handling disruptions. The production controller evaluates the deviations and selects the most suitable countermeasures based on his experience. The transparency should be increased in order to improve the decision quality of the production controller by providing meaningful information during his decision process. In this paper, we propose a framework in which an interactive production control system supports the controller in the identification of and reaction to disturbances on the shop floor. At the same time, the system is being improved and updated by the domain knowledge of the controller. The reference architecture consists of three main parts. The first part is the process mining platform, the second part is the machine learning subsystem that consists of a part for the classification of the disturbances and one part for recommending countermeasures to identified disturbances. The third part is the interactive user interface. Integrating the user’s feedback will enable an adaptation to the constantly changing constraints of production control. As an outlook for a technical realization, the design of the user interface and the way of interaction is presented. For the evaluation of our framework, we will use simulated event data of a sample production line. The implementation and test should result in higher production performance by reducing the downtime of the production and increase in its productivity.
In manufacturing, adherence to delivery dates is one of the main logistic goals. The production control department has to cope with short-term deviations from the planned route sheets. Because of unforeseen disruptions, e.g. machine breakdowns or shortage of material or personnel, in some situations, the promised delivery date to the customer is at stake. In practice, a fast and reasonable decision on how to deal with the delayed order is required. This decision process is often based on a qualitative analysis relying on the planner’s subjective assessment of a complex situation. To improve the quality of possible countermeasures this paper presents an application, which supports the decision process through a quantified analysis using real-time data from business application systems in combination with a simulation of the value stream. The developed app is part of the decision process and estimates the effect of selected countermeasures to accelerate a delayed order. Performance indicators illustrate the effect of the countermeasures on the specific order as well as the whole system. This approach empowers the planner to assess unforeseen situations and aims to improve the quality of the decision-making process. This paper describes the architecture of the application, its simulation ecosystem, the relevant data and the decision process to select the most effective countermeasures.
Der vorliegende Beitrag beschreibt eine Vorgehensweise zur kurzfristigen Umstellung von Blended-Learning- oder Präsenzangeboten. Hierbei werden neben möglichst schnell umsetzbaren technischen Lösungen auch notwendige organisatorische Anpassungen thematisiert und anhand des E-Mas-Weiterbildungsprogramms illustriert.
Subscription business transforms traditional business models of machinery and plant engineering. Many manufacturing companies struggle to pull out the potential created by Industry 4.0 and make it economically usable. In addition to technological innovations, it is necessary to transform the business model. This leads to a shift from ownership-based and product-centric business models to outcome-based business models, which focus on the customer's value and thus realize a unique value proposition and competitive advantage – the outcome economy. Based on a case study analysis among manufacturing companies, this paper provides further clarification including a definition and constituent characteristics of subscription business models in machinery and plant engineering.
This paper contributes to an assessment framework for valuing data as an asset. Particularly industrial manufacturers developing and delivering Smart Product Service Systems (Smart PSS) are comprehensively depended on the business value derived by processing data. However, there is a lack in a framework for capturing and comparing the Smart PSS data value with the purpose of increasing the accountability of data initiatives. Therefore a qualitative data value assessment approach was developed and specified on Smart PSS, based on an industrial case study research. [https://link.springer.com/chapter/10.1007/978-3-030-57997-5_39]
Industrie 4.0 is said to have major positive effects on productivity in manufacturing companies. However, these effects are not visible yet. One reason for this is the lack of understanding of maintenance services as a crucial value contributing partner in production processes, although scientific literature already highlighted the importance of indirect maintenance costs. In order to retrieve the unused potential of maintenance services, a digital shadow in form of a sufficiently precise digital representation is required, providing a data model for the value of maintenance actions so that asset and maintenance strategies can be optimized later on. Using case study research for process manufacturers, the first research contribution of this paper consists of 21 value contributing elements being identified. The second contribution is a reference processes model, showing seven major process steps as well as the required intra-organization interaction on an information technology system level. Therefore, it provides the base for the missing data model shaping the targeted digital shadow of maintenance services’ value contribution. [https://link.springer.com/chapter/10.1007/978-3-030-57993-7_69]