Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm
This paper introduces the use of an Artificial-Intelligence (AI) based technique, Genetic Algorithm (GA), to solve single model product disassembly sequence problems. The generation of disassembly sequence is modeled using Design for Assembly (DfA) working principles. In this paper, the performances...
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| Format: | Thesis |
| Language: | en en |
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2006
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| Online Access: | https://etd.uum.edu.my/23/1/lau_lee_lyn.pdf https://etd.uum.edu.my/23/2/lau_lee_lyn.pdf https://etd.uum.edu.my/23/ |
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| _version_ | 1833435301939249152 |
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| author | Lau, Lee Lyn |
| author_facet | Lau, Lee Lyn |
| author_sort | Lau, Lee Lyn |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| description | This paper introduces the use of an Artificial-Intelligence (AI) based technique, Genetic Algorithm (GA), to solve single model product disassembly sequence problems. The generation of disassembly sequence is modeled using Design for Assembly (DfA) working principles. In this paper, the performances of Design for
Disassembly (DfD) and GA in selecting optimum disassembly sequence were tested. The problem is involves minimizing the total disassembly time by proper feeder allocation and component sequencing. The objective is to find out the optimum disassembly sequence with minimum disassembly time. The study started by manual disassembly using DfD which involves manual handling and manual insertion
guideline in estimating time to search for optimum sequence. Finally, GA technique is applied to search for the optimum sequence. The results were compared between DfD
and GA to show the efficiency of the proposed GA approach. |
| format | Thesis |
| id | my.uum.etd-23 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.uum.etd-232013-07-24T12:05:20Z https://etd.uum.edu.my/23/ Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm Lau, Lee Lyn TS Manufactures This paper introduces the use of an Artificial-Intelligence (AI) based technique, Genetic Algorithm (GA), to solve single model product disassembly sequence problems. The generation of disassembly sequence is modeled using Design for Assembly (DfA) working principles. In this paper, the performances of Design for Disassembly (DfD) and GA in selecting optimum disassembly sequence were tested. The problem is involves minimizing the total disassembly time by proper feeder allocation and component sequencing. The objective is to find out the optimum disassembly sequence with minimum disassembly time. The study started by manual disassembly using DfD which involves manual handling and manual insertion guideline in estimating time to search for optimum sequence. Finally, GA technique is applied to search for the optimum sequence. The results were compared between DfD and GA to show the efficiency of the proposed GA approach. 2006 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/23/1/lau_lee_lyn.pdf application/pdf en https://etd.uum.edu.my/23/2/lau_lee_lyn.pdf Lau, Lee Lyn (2006) Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm. Masters thesis, Universiti Utara Malaysia. |
| spellingShingle | TS Manufactures Lau, Lee Lyn Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title | Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title_full | Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title_fullStr | Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title_full_unstemmed | Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title_short | Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm |
| title_sort | product disassembly planning using design for disassembly and genetic algorithm |
| topic | TS Manufactures |
| url | https://etd.uum.edu.my/23/1/lau_lee_lyn.pdf https://etd.uum.edu.my/23/2/lau_lee_lyn.pdf https://etd.uum.edu.my/23/ |
| url_provider | http://etd.uum.edu.my/ |