Produktionsmanagement
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Prozesse in der produzierenden Industrie sind über Jahre gewachsen. Nicht selten bilden diese einen eingeschwungenen Zustand ab, der seit Jahren unverändert ist oder nur geringen Anpassungen unterlag. Die aktuellen Trendthemen und Krisen erhöhen den wirtschaftlichen und sozialen Druck auf Unternehmen, sich verstärkt mit den eigenen Prozessen auseinanderzusetzen und insbesondere durch effiziente Nutzung der eigenen Ressourcen Verschwendungen zu reduzieren.
The COVID-19 pandemic has shown companies that their on-premise infrastructures often reach their limits with a large number of remote accesses. The transition to cloud-based solutions could represent a more efficient alternative. However, many German companies, especially small and medium-sized enterprises (SME), are still hesitant to take this big step of transferring applications to the cloud. For this reason, this paper examines the question of whether existing migration approaches in the analysis phase fit the specific requirements of SMEs. Using a literature review methodology, we first identify and analyze determinant factors for cloud adoption in SMEs. On this basis, we analyze existing methods in the analysis phase for migrations from on-premise software to cloud solutions. We investigate whether these factors are considered in the analysis phase of the approaches and conclude their suitability for SMEs. Of the migration approaches we examined, none included all the factors we identified as relevant to SMEs. Fewer have considered all factors fully and in detail. We present the results of the literature search process in tabular form and conclude this paper with a discussion and synthesis of the literature as well as an outlook on further research fields.
Blockchain-Lösungen sind bisher vor allem im Finanzbereich bekannt
und erfolgreich. Doch ihre unbestreitbaren Vorteile bieten weit darüber
hinaus Potenzial und machen sie auch für industrielle Anwendungen
interessant. Vor allem Lieferketten mit ihren komplexen Strukturen,
vielen Beteiligten sowie verschiedensten Material-, Informations- und
Finanzströmen lassen sich mit der Technologie erheblich effizienter
gestalten.
The Impact Of Manufacturing Execution Systems On The Digital Transformation Of Production Systems
(2021)
With the focus of manufacturing companies on the digital transformation, Manufacturing Execution Systems are market-ready, modular software solutions for manufacturing companies to integrate the value-adding and supporting processes horizontal and vertical in the company. Companies, especially small and mediumsized companies, face high internal and external costs for the implementation of the MES modules. An advantage of MES is the possibility to implement the systems in a continually, module-by-module approach, with the benefit of timely distributed investments. By realizing fast improvements, companies can use the benefits for further module implementations. This paper proposes a maturity model to measure the impact of an MES on the digital transformation of the company’s production systems. The model fulfils two purposes. The first, companies can measure the impact based on the difference between its current maturity index and the potential index of an implemented MES. The second is, the user can identify what impact an MES has in general on the digital transformation since the developed maturity model is derived from an established industry 4.0 maturity model. The development of the maturity model is based on the methodologies of AKKASOGLU and focuses on the further development of an established model. As an outlook, the application of the model will be described briefly. The proposed maturity model can directly be used by practitioners and offers implications for further development of MES functionalities.
Wenn ein Produkt mit jedem Bearbeitungsschritt ein Unternehmen wechselt, bleiben in der gesamten Prozesskette viele Informationen außer Acht. Daher sinken die Flexibilität innerhalb der Prozesskette sowie die Transparenz über den genauen Produktzustand. Genau das ist der Fall in der Stahlindustrie. Komplexe Stahlbearbeitungsprozesse werden erst durch eine Spezialisierung und große hergestellten Mengen lukrativ, was dazu führt, dass mehrere Unternehmen an der Wertschöpfung beteiligt sind. Im Projekt ‚E2E-Parameter‘ wollen das Institut für Bildsame Formgebung (IBF) und der FIR e. V. an der RWTH Aachen die Transparenz und Flexibilität der Prozessketten durch überbetrieblichen Datenaustausch erhöhen.
Trotz technischer Möglichkeiten für eine hochfrequentere Planung werden noch immer nächtliche IT-Planungsläufe zur „Aktualisierung“ von Daten in der PPS durchgeführt. Produzierende Unternehmen sind nicht in der Lage zu bewerten, in welcher Häufigkeit Planungsläufe durchzuführen und welche Rahmenbedingungen dazu notwendig sind. Ergebnisse dieser Arbeit sind eine Unterstützung zur Bewertung der Häufigkeit von Planungsläufen sowie Gestaltungsempfehlungen für relevante Rahmenbedingungen der PPS.
IT-Systeme zur Planung, Steuerung, Durchführung und Überwachung der komplexen Stoff- und Informationsflüsse (PPS-Systeme) sind heute für einen effizienten Produktionsablauf nahezu unverzichtbar. Mit der Weiterentwicklung zu Enterprise Resource Planning-Systemen (ERP Systeme) wurden angrenzende Aufgabenbereiche (Einkauf, Rechungswesen, Vertrieb, Lagerhaltung, usw.) integriert, sodass heute ein breites Spektrum für ERP Systeme unterschiedlichster Herkunft und Funktionalität am Markt angeboten wird.
In dem Marktspiegel werden knapp 500 der derzeit am deutschen Markt verfügbaren ERP/PPS-Lösungen untersucht.
The blockchain technology has been increasingly applied in industrial use-cases in recent years. Although the food industry fits in particular with the requirements for blockchain applications, since the actors barely know each other and trust plays a crucial role, it is not widely established in the food industry. There are efforts to increase transparency and enable traceability in food supply chains by applying blockchain technology to share data in a trustworthy way across companies and to ensure food quality standards. This technology can be further used to enable the identification of inconsistencies in sensor data and more efficient handling of food recalls across the food supply chain. The success of a new technology depends to a large extent on its acceptance by companies and their employees. This paper deals with the acceptance of such a blockchain application and presents a systematic literature review to summarize the methods and results of acceptance analyses of the blockchain technology in food supply chain s. Particular attention has been devoted to traceability. For this objective, research is analysed based on scientific methods and the results are systematically analysed.
The digital transformation brings up various new tasks to manage new business application software and integrate them into existing business processes and legacy systems, which are necessary to keep e.g. a production system running. Today, all these tasks are on the one hand not clearly defined and on the other hand, responsibility of these cross-disciplinary tasks is unclear in companies being mostly structured in a function-oriented way. While quality management has developed to a firmly established function of process excellence years ago, IT-application management is still to become an inevitable part of the digital transformation. There are just a few authors trying to define and describe this part, the related tasks, and necessary roles in an organization. In this paper, we show how the business needs of a company can influence the ideal adaptation of the digitization solutions and thus become the success of the digital transformation. We base the paper on a use case in manufacturing companies. We then describe how companies deal with business application systems today. Based on the framework Aachen Digital Architecture Management we describe how a company can holistically improve the management of business application systems.