Abstract
AbstractAcademic CubeSat projects offer students and researchers hands‐on engineering experience and can deliver cutting‐edge research data. The CubeSat projects are highly multidisciplinary and require teamwork skills as well as engineering expertise. A challenge for academic CubeSat projects is the high turnover of graduating students, which makes knowledge management complicated. Model‐Based Systems Engineering (MBSE) offers functionality that can address many of the challenges academic CubeSat teams experience. This paper presents a trade‐off study using the Analytical Hierarchy Process (AHP) to select an MBSE software for use by students. Literature on academic application of formal trade‐off studies in student teams is limited. The case study described here shows how tangible and intangible factors are addressed using the AHP method, and a discussion of the process and results is provided.
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