scholarly journals DETERMINATION OF ENGINEERING DIGITALIZATION MATURITY

2021 ◽  
Vol 1 ◽  
pp. 1193-1202
Author(s):  
Mona Tafvizi Zavareh ◽  
Martin Eigner

AbstractEngineering 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.

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.


Author(s):  
Valeria Perelman ◽  
Amira Sharon ◽  
Dov Dori

Developing and sustaining complex systems requires collaboration of multidisciplinary teams, coordination of processes, methods and tools, allocation of resources and utilization of adequate facilities within enterprises. The system engineering management comprises three intertwined domains: the product, the project and the enterprise. Despite the obvious links between them, each is carried out using its distinct ontology and toolset. This conceptual separation hinders effective handling of the project and product lifecycle activities within the enterprise. Testing activities of complex products are focused on verifying the performance of increasingly large modules, from software and hardware components, through subassemblies to the entire operational system. What needs to be developed, tested, and delivered is determined by the product requirements, its functions, architecture, components, and their interactions. When each component should and can be developed and tested is determined by the project plan, which is dynamically re-estimated, re-evaluated, and re-planned depending on different parameters such as the project actual status compared with the plan, recourses availability, risks, technological breakthroughs or other impacting issues. Whether carrying out the development mission is feasible is determined by the responsible enterprise, its size, structure, management criteria, other projects running in parallel, commitments, and many other aspects. This paper introduces a unified project-product lifecycle management framework that attempts to address the problems cause by separating the product from the project that is supposed to deliver it within the executing enterprise.


2019 ◽  
Vol 2 (1) ◽  
pp. 425-434
Author(s):  
Aleksander Buczacki

Abstract An effective and efficient New Product Development (NPD) and implementation process is crucial for creation of competitive advantage for each company. Due to this fact, companies are more and more often looking for methods and tools for improvement of NPD processes. The paper deals with an integrated Model Based Systems Engineering (MBSE) and lean approach to NPD. The individual stages of the NPD process are predisposed to different degrees to the use of MBSE and Lean. The research conducted shows that the use of advanced MBSE and lean tools and techniques in the development of new products is not widespread. There is a room for future research.


2021 ◽  
Author(s):  
Sergej Japs ◽  
Harald Anacker ◽  
Lydia Kaiser ◽  
Jorg Holtmann SE-TRIP ◽  
Roman Dumitrescu ◽  
...  

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.


Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 187-192
Author(s):  
Sergej Japs ◽  
Harald Anacker ◽  
Roman Dumitrescu

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