A multi-objective optimisation methodology towards product design for sustainability Online publication date: Mon, 11-Jun-2018
by Yunpeng Li; Utpal Roy
International Journal of Strategic Engineering Asset Management (IJSEAM), Vol. 3, No. 2, 2018
Abstract: Design for sustainability (DFS) brings broader disciplines into the design decision making process. Numerous DFS approaches can be separately used to evaluate a product design's performance in a particular domain. However, taking consideration of all sustainability related domains together into the early design stages impose large amounts of design variables and constraints onto the design problem and possibly make the problem infeasible to solve. In this paper, we propose an object-oriented multi-objective optimisation methodology to help designers to determine an optimal combination of design parameters (DP), based on a set of predefined design variables, sustainability related constraints and objective functions, to achieve the functional requirements (FR). By encapsulating design variables into few global objects, the searching space for the optimisation model is reduced. A case study has been presented to illustrate and to validate the feasibility of the proposed methodology.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Strategic Engineering Asset Management (IJSEAM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com