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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...

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Main Author: Julirose , Gonzales
Format: Thesis
Published: 2018
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://studentsrepo.um.edu.my/8528/2/All.pdf
http://studentsrepo.um.edu.my/8528/6/julirose.pdf
http://studentsrepo.um.edu.my/8528/
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spelling my.um.stud.85282020-06-10T19:27:19Z Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales Julirose , Gonzales TJ Mechanical engineering and machinery TS Manufactures 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. 2018-01 Thesis NonPeerReviewed application/pdf http://studentsrepo.um.edu.my/8528/2/All.pdf application/pdf http://studentsrepo.um.edu.my/8528/6/julirose.pdf Julirose , Gonzales (2018) Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales. PhD thesis, University of Malaya. http://studentsrepo.um.edu.my/8528/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Student Repository
url_provider http://studentsrepo.um.edu.my/
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
Julirose , Gonzales
Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
description 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.
format Thesis
author Julirose , Gonzales
author_facet Julirose , Gonzales
author_sort Julirose , Gonzales
title Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
title_short Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
title_full Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
title_fullStr Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
title_full_unstemmed Genetic algorithm optimization of product design for environmental impact reduction / Julirose Gonzales
title_sort genetic algorithm optimization of product design for environmental impact reduction / julirose gonzales
publishDate 2018
url http://studentsrepo.um.edu.my/8528/2/All.pdf
http://studentsrepo.um.edu.my/8528/6/julirose.pdf
http://studentsrepo.um.edu.my/8528/
_version_ 1738506153153789952
score 13.211869

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