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Development of a decision support framework for systems architecting in aerospace applications

Development of a decision support framework for systems architecting in aerospace applications
Development of a decision support framework for systems architecting in aerospace applications
The exploration of the architectural solution space tends to be iterative, where multiple system architectures are explored over several cycles before a final solution is selected. However the time and cost required to conduct this activity can be significant in the presence of multiple system architectures. This thesis presents a decision support framework that assists the system architect in generating, analysing, and identifying optimal system architectures. The framework achieves this by using a formal modelling approach that represents the architectural decision-making process as a Constraint Optimisation Problem (COP), resulting in a graph representation of interconnected architectural decision variables. The graph-based approach provides computational tools that enables the system architect to automatically synthesise viable architectures based on the constraints defined, and calculate high-impact decision variables within the network. This capability is enabled by synthesising concepts from decision theory, multi-objective optimisation, and centrality measures from network analysis to provide a visual representation of high-impact decision variables. In applying this framework to the design of a low-cost Unmanned Aircraft System (UAS), we identify the choice of design alternatives relating to the implementation of the payload sensor system to have a high-impact on system properties and network connectivity. Suggesting that the exploration of the solution space should be focused towards payload implementation.
Surendra, Amrith
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Surendra, Amrith
a8965a4f-47aa-4817-82d2-ac091cdb7d08
Scanlan, James
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(2015) Development of a decision support framework for systems architecting in aerospace applications. University of Southampton, Faculty of Engineering and the Environment, Doctoral Thesis, 228pp.

Record type: Thesis (Doctoral)

Abstract

The exploration of the architectural solution space tends to be iterative, where multiple system architectures are explored over several cycles before a final solution is selected. However the time and cost required to conduct this activity can be significant in the presence of multiple system architectures. This thesis presents a decision support framework that assists the system architect in generating, analysing, and identifying optimal system architectures. The framework achieves this by using a formal modelling approach that represents the architectural decision-making process as a Constraint Optimisation Problem (COP), resulting in a graph representation of interconnected architectural decision variables. The graph-based approach provides computational tools that enables the system architect to automatically synthesise viable architectures based on the constraints defined, and calculate high-impact decision variables within the network. This capability is enabled by synthesising concepts from decision theory, multi-objective optimisation, and centrality measures from network analysis to provide a visual representation of high-impact decision variables. In applying this framework to the design of a low-cost Unmanned Aircraft System (UAS), we identify the choice of design alternatives relating to the implementation of the payload sensor system to have a high-impact on system properties and network connectivity. Suggesting that the exploration of the solution space should be focused towards payload implementation.

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More information

Published date: August 2015
Organisations: University of Southampton, Computational Engineering & Design Group

Identifiers

Local EPrints ID: 397094
URI: http://eprints.soton.ac.uk/id/eprint/397094
PURE UUID: 9efec1ad-e42b-49e9-85a0-a93e447801f3

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Date deposited: 12 Jul 2016 13:44
Last modified: 23 Apr 2018 16:31

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