University of Anbar
  • Register
  • Login

Anbar Journal of Engineering Sciences

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 9, Issue 1
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Facts and Figures

Reviewers in AJES

Multi-Objective GA-Based Optimization to Maximize Sustainability for Product Design and Manufacturing

    Halla Atiyab Luma Adnan Al-Kindia

Anbar Journal of Engineering Sciences, 2018, Volume 9, Issue 1, Pages 195-201
10.37649/aengs.2018.145807

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

Responding quickly and economically to the diversification of customer needs has forced manufacturing companies adopting approaches to delivering low cost, high quality sustainable products based on finding a link between the design or the manufacturing processes and other key elements of sustainability; economic, environmental, and social. However, these approaches had limited success. The most likely reason for the lack of integration between the design and manufacturing stages of the product and complexity of addressing the above mentioned three key elements of sustainability due to existing of many variables in relation to design, manufacturing, locations, logistic operations and so on. Taking into account the required integration as well as the associated complexity of considering sustainability elements can lead to large space alternative solutions and it is more difficult to use only exact methods to the optimization of such problem. This paper presents a genetic algorithm (GA) approach aiming to optimize a high sustainability performance by designing a product and the corresponding manufacturing processes for that product. Process optimization is carried out in terms of the highest fitness function achieved where different objectives are to be optimized simultaneously. The proposed GA approach is applied to the industrial case example. The proposed approach can assist decision makers to help explain when justifying their decision on what are the best product design and its manufacturing processes to obtain high sustainability performance.
Keywords:
    Product Design manufacturing genetic algorithm Optimization Sustainability multi objective
  • PDF (1000 K)
  • XML
(2018). Multi-Objective GA-Based Optimization to Maximize Sustainability for Product Design and Manufacturing. Anbar Journal of Engineering Sciences, 9(1), 195-201. doi: 10.37649/aengs.2018.145807
Halla Atiyab; Luma Adnan Al-Kindia. "Multi-Objective GA-Based Optimization to Maximize Sustainability for Product Design and Manufacturing". Anbar Journal of Engineering Sciences, 9, 1, 2018, 195-201. doi: 10.37649/aengs.2018.145807
(2018). 'Multi-Objective GA-Based Optimization to Maximize Sustainability for Product Design and Manufacturing', Anbar Journal of Engineering Sciences, 9(1), pp. 195-201. doi: 10.37649/aengs.2018.145807
Multi-Objective GA-Based Optimization to Maximize Sustainability for Product Design and Manufacturing. Anbar Journal of Engineering Sciences, 2018; 9(1): 195-201. doi: 10.37649/aengs.2018.145807
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 91
  • PDF Download: 44
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus