Multi-level decomposed systems design: Converting a requirement specification into an optimization problem

8Citations
Citations of this article
19Readers
Mendeley users who have this article in their library.

Abstract

Complex technological artefacts are often decomposed into smaller components to keep their design manageable. The resulting challenge is to coordinate decisions that involve multiple components and to design components such that high-level targets are met. Analytical Target Cascading (ATC) is an analytical coordination method for the optimization of decomposed systems, which we aim to incorporate in systems engineering design process. To this extent, we relate the domain of engineering optimization to the domain of requirements engineering, and propose a method that constructs an ATC problem from functional specifications and requirements written in the newly developed Elephant Specification Language. The proposed method is demonstrated in the two-level design of an automotive powertrain. This contribution is a step towards design automation and is expected to increase the usability of decomposed optimization techniques.

Cite

CITATION STYLE

APA

Beernaert, T. F., & Etman, L. F. P. (2019). Multi-level decomposed systems design: Converting a requirement specification into an optimization problem. In Proceedings of the Design Society: International Conference on Engineering Design (Vol. 2019-August, pp. 3691–3700). Cambridge University Press. https://doi.org/10.1017/dsi.2019.376

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free