
doi: 10.25967/570421
This article discusses the progress of the refinement and testing of the Advanced Morphological Approach (AMA) in the conceptual design of aircraft. Unconventional aircraft configurations can be considered as a potential way to address the current challenges in the aviation domain to reduce emissions and increase efficiency. Taking into account the lack of idea generation methods for innovative aircraft concepts, the AMA as presented in previous work allows to decompose the system into functional and/or characteristic attributes and their corresponding sets of technological alternatives. The subsequent synthesis and clustering of potential solution configurations helps to derive a limited set of optimal aircraft concepts. The first part of this paper summarizes the recent developments of the AMA such as handling of uncertainties through fuzzy numbers and hierarchical structuring of the problem definition with the Fuzzy Analytic Hierarchy Process. Ultimately, the results of a first test use case for a flight vehicle conceptual design problem using the AMA´s current state and involving a group of experts are presented and discussed. The suggested approach considers to a larger extent the cognitive and professional bias during expert evaluations. It offers a more robust and intuitive formulation and solution of abstract conceptual design problems lacking historical data to lean on.
DGLR, expert judgment elicitation, conceptual design, DLRK, Advanced Morphological Approach, Morphological Analysis, 2022
DGLR, expert judgment elicitation, conceptual design, DLRK, Advanced Morphological Approach, Morphological Analysis, 2022
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
