Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
The growing environmental awareness of today’s consumers has put the manufacturing companies with the burden of taking responsibility for their own product’s environmental impact. This incited the need to develop product management systems which focus on minimizing a product’s impact across its l...
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://studentsrepo.um.edu.my/8528/ http://studentsrepo.um.edu.my/8528/2/All.pdf http://studentsrepo.um.edu.my/8528/6/julirose.pdf |
| Summary: | The growing environmental awareness of today’s consumers has put the manufacturing
companies with the burden of taking responsibility for their own product’s environmental
impact. This incited the need to develop product management systems which focus on
minimizing a product’s impact across its life cycle. However, a survey conducted on
Malaysian design companies suggests that there are no systems available for them to
include environmental considerations in their product design processes. This dissertation
presents a study on product design optimization which focuses on the inclusion of the
potential environmental impact in the design consideration. The aim of this research is
to develop a methodology that will aid designers to reduce the potential environmental
impact of a product’s design, which does not require them to train additional skills in
environmental impact analysis. Analysis of the effect of changing the product design
parameters such as its dimensions, and basic features on the environmental impact of
machining process in terms of its power consumption, waste produced and the chemicals
and other consumables used up during the process is the key method in this research. A
novel feature-based product design methodology based on an integrated CAD-LCA
approach is developed which analyzes a product design’s environmental impact. Genetic
Algorithm is applied to the product design parameters to create a feedback system in order
to get the best possible product design solutions with the least environmental impact
within the product design functionality limitation. The results using the proposed
methodology yields 50 pareto optimal design solutions for every run, allowing the
designers the freedom to choose the suitable design. The developed methodology aids
designers in providing design solutions that satisfies the customer requirements and at the
same time adding value to their work through the suggestion of eco-friendly alternatives. |
|---|