Maintaining pace with ongoing changes due to digitalization is challenging for manufacturing companies. For successful implementation of digitalization, manufacturing companies must consider their existing technical systems, organizational structures, and processes, as well as social aspects. With the support of a maturity model, a company-specific digitalization level can be evaluated to provide manufacturing companies with an initial insight into their particular status quo; this can serve as a starting point for future optimization and digitalization projects. Furthermore, the results of such an analysis allow objective comparison of different areas within the company and with competitors. In this paper, the “Integrierte Arbeitssystemgestaltung in digitalisierten Produktionsunternehmen” (InAsPro) maturity model is presented, which considers the Development, Production, and Assembly product lifecycle phases, as well as Aftersales, and assesses their digitalization level focusing on the four dimensions of Technology, Organization, Social Issues, and Corporate Strategy. The maturity model’s rating scale distinguishes between four maturity levels. The results given by the InAsPro maturity model for an entire company are presented, along with those for each product lifecycle phase. Extensive descriptions for each specific maturity level are also provided.
ZusammenfassungMit dem Ziel, produzierende Unternehmen methodisch bei der Digitalisierung ihrer Arbeitssysteme zu unterstützen, wurde im BMBF-Verbundforschungsprojekt InAsPro (Integrierte Arbeitssystemgestaltung in digitalisierten Produktionsunternehmen) ein anwenderorientiertes, modulares Transformationskonzept entwickelt und in einer webbasierten IT-Anwendung, dem Digitalisierungsplaner, umgesetzt und öffentlich zugänglich gemacht. Kernbestandteile des Transformationskonzepts sind die vier Konzeptbausteine Reifegradmodell, Digitalisierungsstrategie, Technologieatlas und Digitalisierung des Arbeitssystems. Mithilfe dieses InAsPro-Transformationskonzepts können die Unternehmen ganzheitliche Digitalisierungszustände im Hinblick auf Technologie, Organisation und das eigentliche Arbeitssystem bestimmen und individualisierte Digitalisierungsstrategien, -lösungen und -umsetzungsmaßnahmen erarbeiten.
Engineering Digitalization enables development of new high intelligent products containing mechanical, electrical, software and communication components. As these complex products are result of multidisciplinary engineering processes, digitalization also enforces companies to raise, adapt and revise their engineering competencies and process capabilities to increase agility and maintain competitiveness. Also, the growing amount of data related to product and processes requires a well-structured management concept. In order to encounter all these changes and new requirements companies should identify their specific strengths and weaknesses and derive needs for action. This paper presents a novel maturity model for evaluation of capabilities of Engineering Digitalization in areas of processes, products, services, data, human and organization. The maturity model enables the detection of enhancement potentials and conception of individual digitalization plans for production companies. It has been composed based on a proven multidisciplinary engineering methodology along the product lifecycle process, which includes Model Based Systems Engineering Methods, and a multilevel IT architecture integration concept.
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