Generic Systems Engineering by Nadine Schlüter

Generic Systems Engineering by Nadine Schlüter

Author:Nadine Schlüter
Language: eng
Format: epub
ISBN: 9783662679944
Publisher: Springer Berlin Heidelberg


4.4 Possible Sequence of Steps for Creating the GSE Thinking Model for Technical Systems with DeCoDe

While the previous chapter described how the views of the system can be transparently represented, it will now be illustrated how a representation of a system can be structured and systematically created step by step—while simultaneously implementing the requirements for system modeling. Only the procedure for creating a GSE thinking model is characterized. How a system analysis or system design using the model is to be carried out will be described in Chap. 5.

The procedure for creating a GSE thinking model is understood as the temporally logical, step-by-step description of creating the views of the system model and their links. The result of Sect. 4.3 determined that systems can essentially be represented in a standardized way in a minimal manner using the requirement, component, function, and process view, with the help of DeCoDe tools. Their logical and temporal combination in creating a system image is problem-oriented and characterizes the DeCoDe workflow.

The four-stage model of system design recommends first a requirement analysis, then a function analysis, and finally an architecture analysis to ultimately provide proof of the system’s requirement fulfillment (Scheithauer 2014). This sequence of steps can also be realized with the DeCoDe tools. As a result of applying the four-stage model of system design with the DeCoDe tools, the requirement view can be created from the requirement analysis, the function view can be created from the function analysis, and the component view can be created from the architecture view. The proof of the system’s requirement correctness is provided by the networking of the three aforementioned views. This linear approach of the four-stage model is hardly found in practice in system design. Here, other approaches, such as Smart Engineering, are in demand (Anderl 2012). In general, a metamodel is also needed in the Industry 4.0 era so that transdisciplinary teams can work in a targeted, problem-solving-oriented manner. The use of DeCoDe tools for this is a possible solution approach. This raises a number of questions that still need to be answered, such as:With which perspective is the description of the product system started?



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