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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.
Die Process-Mining-Technologie bietet eine zunehmende wichtige Grundlage für Initiativen zur Prozessoptimierung. Gerade an Systemanbieter wird die Nachfrage steigen, solche Funktionen direkt in ihre Lösungen zu integrieren. Möchten Systemanbieter ihren Kunden Process-Mining-Funktionalitäten bieten, können sie anhand eines vierschrittigen systematischen Vorgehens umetzen.
Companies in the manufacturing sector are confronted with an increasingly dynamic environment. Thus, corporate processes and, consequently, the supporting IT landscape must change. This need is not yet fully met in the development of information systems. While best-of-breed approaches are available, monolithic systems that no longer meet the manufacturing industry's requirements are still prevalent in practical use. A modular structure of IT landscapes could combine the advantages of individual and standard information systems and meet the need for adaptability. At present, however, there is no established standard for the modular design of IT landscapes in the field of manufacturing companies' information systems. This paper presents different ways of the modular design of IT landscapes and information systems and analyzes their objects of modularization. For this purpose, a systematic literature research is carried out in the subject area of software and modularization. Starting from the V-model as a reference model, a framework for different levels of modularization was developed by identifying that most scientific approaches carry out modularization at the data structure-based and source code-based levels. Only a few sources address the consideration of modularization at the level of the software environment-based and software function-based level. In particular, no domain-specific application of these levels of modularization, e.g., for manufacturing, was identified. (Literature base: https://epub.fir.de/frontdoor/index/index/docId/2704)
Process mining has emerged as a crucial technology for digitalization, enabling companies to analyze, visualize, and optimize their processes using system data. Despite significant developments in the field over the years, companies—notably small and medium-sized enterprises—are not yet familiar with the discipline, leaving untapped potential for its practical application in the business domain. They often struggle with understanding the potential use cases, associated benefits, and prerequisites for implementing process mining applications. This lack of clarity and concerns about the effort and costs involved hinder the widespread adoption of process mining. To address this gap between process mining theory and real-world business application, we introduce the “Process Mining Use Case Canvas,” a novel framework designed to facilitate the structured development and specification of suitable use cases for process mining applications within manufacturing companies. We also connect to established methodologies and models for developing and specifying use cases for business models from related domains targeting data analytics and artificial intelligence projects. The canvas has already been tested and validated through its application in the ProMiConE research project, collaborating with manufacturing companies.
The planning and implementation of migration projects in global production networks is a complex planning task that is confronted with a dynamic global environment with highly complex interdependencies. Today's migration approaches are either large projects or isolated local
investments. As such, they are not suitable for simultaneously addressing interdependencies and continuity. This paper illustrates a holistic and continuous methodology for rolling migration planning and implementation in global production networks. Seven steps enable the transformation from the current state of the production network into a target state regarding internal as well as external dynamics and interactions.
In diesem Whitepaper stellen wir Ihnen die Technologie Process-Mining vor und zeigen auf, welche enormen Potenziale in ihrer Anwendung liegen. Auch mit einer neuen Technologie ist jedoch ohne kompetente Anwendung
kein Erfolg erzielbar. Unser vorliegendes Whitepaper soll Ihnen dazu verhelfen, zu erkennen, welche Hürden Sie überwinden müssen, um das Potenzial von Process-Mining für sich zu heben, und wie wir vom FIR an der RWTH Aachen Ihnen bei der Umsetzung helfen können.
One of the major challenges for the use of the Blockchain technology in industrial applications is th elack of existing standards. They ensure the interoperability of sensors, machines and the data-sharing between stakeholders within a food supply chain. Existing Blockchain-independent implementations of technologies for increasing transparency in supply chains use communication standards whose transferability to Blockchain applications has not yet been analysed sufficiently.
Process-Mining
(2020)
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.