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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.
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.
Der Technologie- und Trendradar 2022 enthält die neusten Technologien und Trends des vergangenen Jahres. Im aktualisierten Radar wurden die Technologiereifegrade in den Steckbriefen neu bewertet, die Anwendungen, Potenziale und Herausforderungen der Technologien wo nötig aktualisiert und neue Technologien aufgenommen.
Der Technologie- und Trendradar 2022 enthält elf neue Steckbriefe. Das Technologiefeld Vernetzung wurde um Eventgetriebene IT-Architekturen, Internet of Behaviors und Web3 erweitert. Dem Feld Virtualisierung wurde die Technologie Metaverse hinzugefügt. Das Technologiefeld Datenverarbeitung wurde um den Trend Data-Centric AI ergänzt, das Feld Prozesse um den Trend Digitale Souveränität. Im Technologiefeld Produkte wurden die Technologien Edge AI, Inter Planetary File System (IPFS), Photonische Siliziumchips, Soft-Robotik und Neuromorphic Computing aufgenommen.
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.
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.
Data Driven Services
(2020)
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.