Quantitative risk modelling for evaluating sustainable product designs
by Christian Enyoghasi; Adam Brown; Ridvan Aydin; Fazleena Badurdeen
International Journal of Sustainable Manufacturing (IJSM), Vol. 4, No. 2/3/4, 2020

Abstract: A major limitation in sustainable product design is the lack of comprehensive methods to evaluate the effect of various risks on its total lifecycle sustainability performance. Most risk management methods are qualitative in nature, making them unsuitable to fully capture the interdependencies between risk events. In this paper, we propose a methodology for identifying risks related to a product design over its total lifecycle and developing a risk network map to capture the interdependencies between these risks. A Bayesian belief network-based method is employed to quantitatively model and evaluate risks and to conduct risk sensitivity analysis on the total lifecycle sustainability performance. An industrial case study is presented to demonstrate the application of the proposed methodology and evaluate risks related to toner cartridge design. Sensitivity analysis is conducted to assess the likelihood of performance measures such as total lifecycle cost, global warming potential (GWP), water and energy use being influenced as various risks related to the product design changes. The proposed methodology can be useful for product designers to assess how different product design performance can be affected by risks and identify designs that will meet desired performance indicators.

Online publication date: Mon, 04-May-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Sustainable Manufacturing (IJSM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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