Volker Stich
Refine
Year of publication
Document Type
- Article (8)
- Book (7)
- Part of a Book (19)
- Conference Proceeding (47)
- Contribution to a Periodical (13)
- Doctoral Thesis (2)
- Lecture (2)
- Internet Paper (4)
- Preprint (1)
- Report (1)
Language
- German (62)
- English (52)
- Multiple languages (2)
Is part of the Bibliography
- no (116) (remove)
Keywords
- 02 (1)
- 03 (1)
- 3GPP (1)
- 5G (5)
- 5G mobile communication (2)
- 5G-Mobilfunk (1)
- ADAM (1)
- Abschlussbericht (1)
- Additive Fertigung (1)
- Adherence To Delivery Dates (1)
- After-Sales-Service (1)
- Agile Entwicklung (1)
- Agile management Systems (1)
- Anlaufmanagement (1)
- Anwendungen (1)
- Arbeit 4.0 (2)
- Arbeitsgestaltung (2)
- Asset Management (1)
- Augmented Reality (1)
- Automobilindustrie (1)
- Beratung (1)
- Big Data (2)
- BigPro (1)
- Blockchain (2)
- Business ecosystems (1)
- CPS (2)
- CPSL (1)
- Change Request (1)
- Circular economy (1)
- Cloud (1)
- Cluster Smart Logistik (1)
- Customer-Success-Management (1)
- Cyber Security (1)
- DLT (1)
- Data Products (1)
- Data-driven Services (1)
- Datenaustausch (2)
- Datenbasierte Dienstleistungen (1)
- Datenmanagement (1)
- Datenpotenziale (1)
- Datensouveränität (1)
- Decision Support (1)
- Decision Support System (1)
- Design of Experiments (1)
- Dienstleistung (1)
- Dienstleistungssektor (1)
- Dienstleistungswende (1)
- Digital Transformation (1)
- Digital platform design (1)
- Digital-Business-Model (1)
- Digitale Infrastrukturen (1)
- Digitale Steuerung (1)
- Digitale Transformation (3)
- Digitales Zeitalter (1)
- Digitalisierung (9)
- Digitization (1)
- Digivation (1)
- Discrete Event Simulation (1)
- Disruptions (1)
- Distributed-Ledger-Technology (1)
- Distribution (1)
- Distributionsplanung (1)
- Disturbance Management (1)
- E-Learning (1)
- EPCIS (1)
- ERP (1)
- Echtzeitfähige Systeme (1)
- Echtzeitfähigkeit (1)
- End-2-End-Transparenz (1)
- Energiemanagement (2)
- Entscheidungsunterstützung (3)
- Ersatzteillogistik (1)
- Evaluation (1)
- Event Data (1)
- Expertise (1)
- Fallstudien (1)
- Finanzkrise (1)
- Flexibilität (1)
- Food Production (1)
- Forecasting capability (1)
- Forschung (1)
- Forschungsbeirat (1)
- Geschäftsmodell (2)
- Geschäftsmodelle (1)
- Heterogene Netze (1)
- Heterogeneous networks (1)
- IT complexity (1)
- IT-Architektur (1)
- IT-Komplexität (1)
- IT-Unterstützung (1)
- Incorrect Data (1)
- Industrial Internet of Things (1)
- Industrial communication (1)
- Industrial sustainability (1)
- Industrie (2)
- Industrie 4.0 (13)
- Industrielle Kommunikationstechnik (1)
- Information management (1)
- Informationslogistik (1)
- Informationsmanagement (2)
- Innovation (1)
- Instandhaltung (3)
- Integration management (1)
- Integrationsmangement (1)
- Intelligent Product (1)
- Internet der Dinge (1)
- Internet of Production (4)
- Internet of Production (IoP) (1)
- Internet of Things (3)
- IoP (1)
- IoT (1)
- IoT platform (1)
- IoTPlattform (1)
- KI (4)
- KMU (2)
- KPI (2)
- Kennzahlen (1)
- Key-Performance-Indicator (1)
- Kommunikation (1)
- Kompetenzentwicklung (2)
- Kompetenzmanagement (3)
- Konferenz (2)
- Kongress (1)
- Konzepte (1)
- Krise (1)
- Kundendienst (1)
- Kundenprobleme (1)
- Kybernetik (1)
- Künstliche Intelligenz (4)
- Learning Game (1)
- Lebensmittelindustrie (1)
- Leistungsfähigkeit (2)
- Lernen (1)
- Lernen und Arbeiten (2)
- Lieferketten (1)
- Logistik (2)
- Logistikdienstleister (1)
- Machine-to-machine communications (1)
- Manufacturing (1)
- Manufacturing Companies (1)
- Marktspiegel (1)
- Matching (2)
- Morphology (1)
- Multi-RAT (1)
- Nachhaltigkeit (1)
- Natural-Language-Processing (1)
- Network (1)
- Network architecture (1)
- Network function virtualization (1)
- Network slicing (1)
- Netzwerk (1)
- Netzwerkarchitektur (1)
- New Industrial Work (2)
- New Work (2)
- New learning (1)
- Onlinecommunity (1)
- Operating models (1)
- Optimized capacity utilization (1)
- Organisationsstruktur (1)
- PPS (4)
- PPS sys Markt FIR 9141 (1)
- 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 (1)
- Pricing Models (1)
- Procurement Strategy (1)
- Product Characteristics (1)
- Production Control (1)
- Production facilities (1)
- Production management (1)
- Produktdatenmanagement (1)
- Produktentwicklung (1)
- Produktion (1)
- Produktionsabläufe (1)
- Produktionsmanagement (1)
- Produktionsplanung (5)
- Produktionsplanung und -steuerung (2)
- Produktionsregelung (1)
- Produktionssteuerung (5)
- Produktionssystem (2)
- Projekt Digivation (1)
- Quarrying industry (1)
- Re- & upskilling (1)
- Reaktionsfähigkeit (1)
- Realisierung (1)
- Reliability (1)
- Return on Investment (1)
- Return on Maintenance (1)
- Rezepte (1)
- Risikomanagement (2)
- SCM (1)
- SV7067 (1)
- SV7088 (1)
- SV7113 (1)
- SV7126 (1)
- SV7131 (1)
- SV7136 (1)
- SV7169 (1)
- SV7190 (1)
- SV7213 (1)
- SV7240 (1)
- SV7242 (1)
- SV7251 (1)
- SV7261 (1)
- SV7266 (1)
- SV7276 (1)
- SV7289 (1)
- SV7344 (1)
- SV7371 (1)
- SV7404 (1)
- SV7420 (1)
- SV7427 (1)
- SV7430 (1)
- SV7432 (1)
- SV7436 (1)
- SV7459 (1)
- Selbstoptimierung (1)
- Sensors (1)
- Service (1)
- Service-Management (1)
- Simulation (1)
- Smart Contracts (1)
- Smart Maintenance (3)
- Smart Service (2)
- Smart Services (2)
- Smartification (1)
- Software defined networking (1)
- Software defined platform (1)
- Softwaretool (1)
- Strategie (1)
- Strategy (1)
- Studie (2)
- Störungsmanagement (1)
- Subscription (2)
- Subscription Business (1)
- Subscription Business Models (1)
- Subscription-Economy (1)
- Subscription-Modelle (1)
- Supply Chain Event Management (1)
- Supply Risks (1)
- Supply-Chain (1)
- Supply-Chain-Design (1)
- Supply-Chain-Management (5)
- Supply-Chain-Resilienz (1)
- Sustainability (2)
- Systemplattform (1)
- Taxonomy (1)
- Technischer Wandel (1)
- Training (1)
- Transformation (1)
- Trends (1)
- Twin transition (1)
- Typification (1)
- Typology (1)
- U1021 (1)
- Unternehmensberatung (1)
- Unternehmenskooperation (1)
- User-Story (1)
- Variantenfließfertigung (1)
- Vernetzung (1)
- Vertriebsorganisation (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 (1)
- acquisition cycle (1)
- agile company (1)
- air mobility (1)
- artificial intelligence (1)
- artificial neural networks (1)
- asset management (1)
- autonomous technology scouting (1)
- blockchain (1)
- blockchain-based services (1)
- business model (3)
- case study research (3)
- condition monitoring (2)
- counter measures (1)
- criticality analysis (1)
- cyber-physische Systeme (1)
- data democratization (1)
- data valuation framework (2)
- data value (3)
- data value assessment (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)
- disruption management (1)
- disruptions (1)
- disturbance management (2)
- energy consumption (1)
- energy efficiency (1)
- energy revolution (1)
- engineering valley (1)
- flight demand (1)
- fourth industrial revolution (1)
- hype cycle (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)
- 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)
- peak flattening (1)
- predictive maintenance (1)
- process mining (1)
- procurement (1)
- procurement strategy (1)
- production control (1)
- production networks (1)
- reaction strategy (1)
- real-time systems (1)
- resilience (1)
- rev (14)
- risk analysis system (1)
- risk management (1)
- science (1)
- smart product service systems (2)
- subscription business (1)
- supply chain (2)
- supply chain management (1)
- supply risks (1)
- switchgear (1)
- system dynamics (2)
- 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)
- Änderungsmanagement (2)
- übergreifende Koordination (1)
Institute
Data Driven Services
(2020)
Influenced by the high dynamic of the markets and the steadily increasing demand for short delivery times the importance of supply chain optimization is growing. In particular, the order process plays a central role in achieving short delivery times and constantly needs to evaluate the trade-off between high inventory and the risk of stock-outs. However, analyzing different order strategies and the influence of various production parameters is difficult to achieve in industrial practice. Therefore, simulations of supply chains are used in order to improve processes in the whole value chain. The objective of this research is to evaluate two different order strategies (t, q, t, S) in a four-stage supply chain. In order to measure the performance of the supply chain the quantity of the backlog will be considered. A Design of Experiments approach is supposed to enhance the significance of the simulation results.
Immer noch ist es um die Zufriedenheit der Kunden mit der Qualität von Diestleistungen hierzulande nicht gut bestellt. An der Verbesserung dieses Zustands müssen wir arbeiten, in den Unternehmen, in den staatlichen Organisationen und in den Bildungseinrichtungen, denn die Frage, ob und wie wir den Wandel zur uneingeschränkten Servicegesellschaft bewältigen - der ohne eine konsequente Digitalisierung der Wertschöpfung unmöglich ist -, hat auch entscheidenden Einfluss auf die Zukunft des Wirtschaftsstandorts Deutschland.
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.
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.
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.
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.
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.
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.
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.
It is crucial today that economies harness renewable energies and integrate them into the existing grid. Conventionally, energy has been generated based on forecasts of peak and low demands. Renewable energy can neither be produced on demand nor stored efficiently. Thus, the aim of this paper is to evaluate Deep Learning-based forecasts of energy consumption to align energy consumption with renewable energy production. Using a dataset from a use-case related to landfill leachate management, multiple prediction models were used to forecast energy demand.The results were validated based on the same dataset from the recycling industry. Shallow models showed the lowest Mean Absolute Percentage Error (MAPE), significantly outperforming a persistence baseline for both, long-term (30 days), mid-term (7 days) and short-term (1 day) forecasts. A potential decrease of up to 23% in peak energy demand was found that could lead to a reduction of 3,091 kg in CO2-emissions per year. Our approach requires low finanacial investments for energy-management hardware, making it suitable for usage in Small and Medium sized Enterprises (SMEs).
The digitalization of manufacturing processes is expected to lead to a growing interconnection of production sites, as well as machines, tools and work pieces. In the course of this development, new use-cases arise which have challenging requirements from a communication technology point of view. In this paper we propose a communication network architecture for Industry 4.0 applications, which combines new 5G and non-cellular wireless network technologies with existing (wired) fieldbus technologies on the shop floor. This architecture includes the possibility to use private and public mobile networks together with local networking technologies to achieve a flexible setup that addresses many different industrial use cases. It is embedded into the Industrial Internet Reference Architecture and the RAMI4.0 reference architecture. The paper shows how the advancements introduced around the new 5G mobile technology can fulfill a wide range of industry requirements and thus enable new Industry 4.0 applications. Since 5G standardization is still ongoing, the proposed architecture is in a first step mainly focusing on new advanced features in the core network, but will be developed further later.
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.
This paper addresses the challenge of modelling individual cyber-physical systems (CPS) for small and medium-sized enterprises (SMEs) in manufacturing industries. CPS are key technology building blocks for the implementation of Industrie 4.0. Especially for SMEs the increase of production efficiency and reduction of manufacturing costs through CPS offer potential to maintain their competitiveness and innovation capacity. Although SMEs perceive the potential of CPS, they often lack financial and human resources to acquire the necessary CPS-competencies as well as an overview of all the currently available technological solutions. To overcome this issue a matching platform will offer SMEs support in finding suitable CPS-components by letting them express their functional and technical requirements. The matching logic is based on a set of morphologies that encompasses the functional and requirement spectrum of CPS-components. The matching algorithm analyses the input for congruence of requirements and available technologies and suggests suitable technology combinations. This paper describes the methodology of the matching platform, and introduces the research work to define and to develop the technology morphologies. The presented results facilitate the selection and configuration of CPS for SMEs.