## 5 Final Remarks
### Limitations and Contributions  
The present research and implementation generated a visual design assistant following the guiding structure of AD complemented by CBR and SN. Also, the literature research was exploratory and thus not proven to miss out on important information to complement the proposed theoretical method. Complex problems depend on multiple layers of problem analysis and design in the implementation process. AD does not stimulate the search for various approaches to find the best solution possible. As soon as the Design Matrix shows an uncoupled or even decoupled design, the user requirements seem to be covered and the design can go to engineering. Innovation and creativity techniques are not part of the examples provided in this article. Our proposed workflow is open to ideation techniques as its interface does not limit the Designer in using such. We recommend to incorporate further ideation techniques into the design studies to overcome this downside [24]. In our proposed method, the recommendation and evaluation are only as good as the available data, in the form of cases of already existing designs. Several design studies have to be taken into consideration until the intrinsic possibilities of CBR and the complementing methods show results in the form of recommendations or decision-making support.  
This novel method is the main contribution to the theory as the result follows the principles of a knowledge graph for a natural understanding of the relation between the requirement and solution. The intrinsic workflow guides the user through an iterative solution-finding process with a visual feedback of the design quality stated in the three categories defined by AD.  
In practice, this method can support decision making and tracing through its underlying graphical and easy-to-understand information model along different departments or areas of the subject. As a future work, the method needs to be implemented into user-centered software to showcase and evaluate its practical application within a structured design workflow. With such an application, empirical research with equipment designers can be carried out to test the applicability and further improve the mechanisms used in our proposed CADA method.  
Conceptualization, R.W.; methodology, R.W.; validation, L.T. and I.S.-A., formal analysis, R.W.; investigation, R.W.; writing--original draft preparation, R.W.; writing--review and editing, L.T. and I.S.-A.; visualization, R.W.; supervision, L.T. and I.S.-A.; project administration, R.W. All authors have read and agreed to the published version of the manuscript.  
The present study was developed in the scope of IDU at pester pac automation GmbH, NECE-UBI, Research Center for Business Sciences (UIDB/04630/2020), and the Institute of Electronics and In-formatics Engineering of Aveiro (IEETA) (UIDB/00127/2020), both funded by national funds through FCT-Fundacao para a Ciencia e a Tecnologia.  
Not applicable.  
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. [PERSON] is employee of Pester Pac Automation GmbH, who provided funding and technical support for the work. The funder had no role in the design of the study; in the collection, analysis, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.