Application of ECO-CBR Tool for Sustainability Product Design
The objective of this research is to provide a decision tool based on one of many Artificial Intelligent (AI) called Case-based Reasoning (CBR). ECO-CBR tool is specifically use to solve a problem that facing by product designer at the early stage of product design. It have a capability to provide a...
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Online Access: | http://umpir.ump.edu.my/id/eprint/16340/ http://umpir.ump.edu.my/id/eprint/16340/ http://umpir.ump.edu.my/id/eprint/16340/1/Application%20of%20ECO-CBR%20Tool.pdf |
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ump-163402018-02-28T01:07:02Z http://umpir.ump.edu.my/id/eprint/16340/ Application of ECO-CBR Tool for Sustainability Product Design Awanis, Romli Marziah, Ab Wahab QA76 Computer software The objective of this research is to provide a decision tool based on one of many Artificial Intelligent (AI) called Case-based Reasoning (CBR). ECO-CBR tool is specifically use to solve a problem that facing by product designer at the early stage of product design. It have a capability to provide an environmental impact solution constitute of carbon footprint, energy consumption, air acidification and water eutrophication by calculate the similarity based on existing case store in the library. This solution can be revised and retained into the library. This approach will benefit product designers particularly to come up with a more sustainable product design process when they create a product with a new design in future. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/16340/1/Application%20of%20ECO-CBR%20Tool.pdf Awanis, Romli and Marziah, Ab Wahab (2016) Application of ECO-CBR Tool for Sustainability Product Design. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 80-84.. ISBN 978-967-2054-04-7 http://icecinno.ump.edu.my/index.php/en/documents/pdf-files/proceeding-2016/136-80-84/file |
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Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
QA76 Computer software |
spellingShingle |
QA76 Computer software Awanis, Romli Marziah, Ab Wahab Application of ECO-CBR Tool for Sustainability Product Design |
description |
The objective of this research is to provide a decision tool based on one of many Artificial Intelligent (AI) called Case-based Reasoning (CBR). ECO-CBR tool is specifically use to solve a problem that facing by product designer at the early stage of product design. It have a capability to provide an environmental impact solution constitute of carbon footprint, energy consumption, air acidification and water eutrophication by calculate the similarity based on existing case store in the library. This solution can be revised and retained into the library. This approach will benefit product designers particularly to come up with a more sustainable product design process when they create a product with a new design in future. |
format |
Conference or Workshop Item |
author |
Awanis, Romli Marziah, Ab Wahab |
author_facet |
Awanis, Romli Marziah, Ab Wahab |
author_sort |
Awanis, Romli |
title |
Application of ECO-CBR Tool for Sustainability Product Design |
title_short |
Application of ECO-CBR Tool for Sustainability Product Design |
title_full |
Application of ECO-CBR Tool for Sustainability Product Design |
title_fullStr |
Application of ECO-CBR Tool for Sustainability Product Design |
title_full_unstemmed |
Application of ECO-CBR Tool for Sustainability Product Design |
title_sort |
application of eco-cbr tool for sustainability product design |
publisher |
Universiti Malaysia Pahang |
publishDate |
2016 |
url |
http://umpir.ump.edu.my/id/eprint/16340/ http://umpir.ump.edu.my/id/eprint/16340/ http://umpir.ump.edu.my/id/eprint/16340/1/Application%20of%20ECO-CBR%20Tool.pdf |
first_indexed |
2023-09-18T22:21:55Z |
last_indexed |
2023-09-18T22:21:55Z |
_version_ |
1777415713179303936 |