This thesis addresses the complexities in the design of System of Systems, by providing a flexible, case independent method to analyse and rank the alternatives that are capable of performing the desired missions or operations assigned by decision makers. Although its methods involve only low-fidelity models, these proved to be the best choice as the design space created and, consequently, the number of analysis grow explosively with the increase of available options to perform the required tasks. This is due to the combinatory approach used in the generation of the design space. Another goal is to provide a demonstration of possible improvements with the addition of ontologies to the early stages of design, especially when complex solutions are expected. This also diminishes the probability of human error by decreasing the amount of work demanded when adding alternatives or changing their characteristics, displaying again the feasible application of knowledge based and automated solutions to the engineering design process. With these advantages, the flexibility of altering the set of inputs is enhanced, adding to the resilience of the framework, as it can be attached to any available compatible ontology and perform in that specific domain without hindrance. Due to the lack of techniques and the probable cost of these once made available, the evaluation of emergence is not considered in this work, and is not reccomended to be directly done once ready for use, at least not on the full result array. Moreover, the modular implementation of the framework makes the exchange of functions a rather simple task, enabling users to adapt it to their own needs. Some immediate implementations are mentioned to greatly improve the general performance and relevance of results provided.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-149607 |
| Date | January 2018 |
| Creators | Marchiori, Rodolfo Henrique |
| Publisher | Linköpings universitet, Fluida och mekatroniska system |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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