Exploring Architecture Selection and System Evolvability

White, Samantha; Ferguson, Scott

doi:10.1115/detc2017-68290

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…This applies in particular to requirements arising from a modular product that is defined much later than the module (Lindemann & Maurer 2006). White and Ferguson examine the influence of an architecture on the finished product (White & Ferguson 2017), whereby Kim & Moon and also Greve & Krause address platform strategies for the sustainable reusability of technical systems (Kim & Moon 2017) (Greve & Krause 2018).…”

Section: State Of the Artmentioning

confidence: 99%

Model-based systems engineering in modular design

et al. 2019

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Modular design allows to reduce costs based on scaling effects. However, due to strong alternating effects between the resulting modules and products, methods and tools are required that enable engineers to use specific views in which the respective information can be linked and retrieved according to the situation. Within the scope of this paper, the model-based systems engineering (MBSE) approach is used to model the complex real-world problem of vehicle modular kits. The aim is to investigate the potentials in this context, how modular kits and products can be efficiently modeled and finally how MBSE can support modular design. In order to investigate this in detail, two extensive studies are carried out in a company over a period of three years. The studies show that modular kits lead to an increased complexity of development. Across industries and companies, the demand for reference product models is shown, which facilitate the unification of inhomogeneous partial models and serve as a knowledge repository for the development of future product generations. On this basis, a framework is derived which enables the reuse of large proportions of the product models of previous product generations. This framework is evaluated on the basis of five case studies.

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Section: State Of the Artmentioning

confidence: 99%

Model-based systems engineering in modular design

et al. 2019

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“…Modularity, being perhaps the most intuitive of the enabling concepts, is studied widely and often cited as a principle to promote evolvability (see for example Refs [19], [20], and [21]). In a modular systems architecture, the functions are clustered into several physical modules, which are loosely coupled with each other [7].…”

Section: Modularity/encapsulationmentioning

confidence: 99%

Evolvability and design reuse in civil jet transport aircraft

Heerden

Guenov

Molina-Cristóbal

2019

Progress in Aerospace Sciences

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A comprehensive investigation of evolvability and design reuse in new and historical civil jet transport aircraft was undertaken. The main purpose was to characterise the techniques and strategies used by aircraft manufacturers to evolve their designs. Such knowledge is essential to devise improved design methods for promoting the evolvability of new aircraft. To perform the study, jet aircraft from three large western manufacturers (Boeing, Airbus, and McDonnell Douglas) were investigated in depth. The academic and industrial literature was combed to find descriptions of design reuse and change across each major model of all three manufacturers. The causes and effects of the changes are explored, and the amenability of the different airframes to change are discussed. The evolution of the payload and range capabilities of the different aircraft was also investigated. From these studies, it was found that the initial approach to derivative designs appears somewhat ad hoc and that substantial modifications were devised in quick succession to increase both range and capacity. From the 1970s, two distinguishable patterns started to appear-a 'leap and branch' and a 'Z' pattern. The leaps correspond to major changes in both propulsion and airframe, whereas the branches are simple 'stretches' or 'shrinks'. The Z pattern, also documented by other authors, is a progressive increase in range, followed by a simple stretch, and then another increase in range. Design changes were investigated further by grouping them according to the assumed payload-range objectives set for the derivatives. Finally, the maximum changes found for salient geometrical design parameters amongst all the aircraft surveyed were documented. Developing methods to support the creation of leaps (especially across configurations) appears to be one of the most promising avenues for future research.

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Exploring System Architecture Attributes and Dynamic Change Propagation

Long

Ferguson

2018

Volume 2A: 44th Design Automation Conference

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Long-lived systems will experience many successive changes during their lifecycle as they are adapted to meet new system requirements. Existing change propagation tools predict how changes to a system’s design at a fixed point in its life are likely to spread, but have not been extended to consider a series of successive modifications where the change probabilities update. This change in propagation probabilities in response to successive changes is introduced as Dynamic Change Propagation (DCP). This paper integrates research from change propagation, network theory, and excess to achieve the following objectives: 1) describe how a DCP model predicts system propagation change trajectories, 2) use a new synthetic test case generator to correlate network parameters like degree distribution with DCP, and 3) determine the correlations between a measure of DCP and a selection of existing change propagation metrics. Results indicate that DCP is limited by reducing the number of dependencies between components (affirming the usefulness of adding modularity to a system) and including high degree component ‘hubs’ between components.

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Exploring Architecture Selection and System Evolvability

Cited by 3 publications

References 26 publications

Model-based systems engineering in modular design

Model-based systems engineering in modular design

Evolvability and design reuse in civil jet transport aircraft

Exploring System Architecture Attributes and Dynamic Change Propagation

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