Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management
The objective of this research paper is to demonstrate the application of hybrid knowledge-based system, gauging absences of pre-requisites (GAP), and analytic hierarchy process (AHP) approaches for selecting the improvement programs for Collaborative Green Manufacturing Management (CGMM) system. In...
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Trans Tech Publications, Switzerland
2015
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Online Access: | http://umpir.ump.edu.my/id/eprint/9521/1/Hybrid%20Knowledge-Based%20System%20for%20Collaborative%20Green%20Automotive%20Manufacturing%20Management.pdf.pdf.pdf http://umpir.ump.edu.my/id/eprint/9521/ http://www.scientific.net/AMM.752-753.1333 |
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my.ump.umpir.95212018-01-09T03:31:53Z http://umpir.ump.edu.my/id/eprint/9521/ Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management N. M. Zuki, N. M. Mohd Kamal, Mohd Nawawi Adam Shariff Adli, Aminuddin TJ Mechanical engineering and machinery The objective of this research paper is to demonstrate the application of hybrid knowledge-based system, gauging absences of pre-requisites (GAP), and analytic hierarchy process (AHP) approaches for selecting the improvement programs for Collaborative Green Manufacturing Management (CGMM) system. In this research, a generic knowledge-based system is developed to measure the level of CGMM adoption in automotive manufacturers compared to the ideal system. Using the GAP and AHP tools, the key green manufacturing improvement programs can be prioritized and demonstrated with an illustrative example. Trans Tech Publications, Switzerland 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9521/1/Hybrid%20Knowledge-Based%20System%20for%20Collaborative%20Green%20Automotive%20Manufacturing%20Management.pdf.pdf.pdf N. M. Zuki, N. M. and Mohd Kamal, Mohd Nawawi and Adam Shariff Adli, Aminuddin (2015) Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management. Applied Mechanics and Materials, 752/53. pp. 1333-1338. ISSN 1662-7482 http://www.scientific.net/AMM.752-753.1333 DOI: 10.4028/www.scientific.net/AMM.752-753.1333 |
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TJ Mechanical engineering and machinery N. M. Zuki, N. M. Mohd Kamal, Mohd Nawawi Adam Shariff Adli, Aminuddin Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
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The objective of this research paper is to demonstrate the application of hybrid knowledge-based system, gauging absences of pre-requisites (GAP), and analytic hierarchy process (AHP) approaches for selecting the improvement programs for Collaborative Green Manufacturing Management (CGMM) system. In this research, a generic knowledge-based system is developed to measure the level of CGMM adoption in automotive manufacturers compared to the ideal system. Using the GAP and AHP tools, the key green manufacturing improvement programs can be prioritized and demonstrated with an illustrative example. |
format |
Article |
author |
N. M. Zuki, N. M. Mohd Kamal, Mohd Nawawi Adam Shariff Adli, Aminuddin |
author_facet |
N. M. Zuki, N. M. Mohd Kamal, Mohd Nawawi Adam Shariff Adli, Aminuddin |
author_sort |
N. M. Zuki, N. M. |
title |
Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
title_short |
Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
title_full |
Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
title_fullStr |
Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
title_full_unstemmed |
Hybrid Knowledge-Based System for Collaborative Green Automotive Manufacturing Management |
title_sort |
hybrid knowledge-based system for collaborative green automotive manufacturing management |
publisher |
Trans Tech Publications, Switzerland |
publishDate |
2015 |
url |
http://umpir.ump.edu.my/id/eprint/9521/1/Hybrid%20Knowledge-Based%20System%20for%20Collaborative%20Green%20Automotive%20Manufacturing%20Management.pdf.pdf.pdf http://umpir.ump.edu.my/id/eprint/9521/ http://www.scientific.net/AMM.752-753.1333 |
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