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Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm

Lau, Lee Lyn (2006) Product Disassembly Planning Using Design For Disassembly and Genetic Algorithm. Masters thesis, Universiti Utara Malaysia.

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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.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Product Disassembly Planning, Artificial - Intelligence, Genetic Algorithm
Subjects: T Technology > TS Manufactures
Divisions: Faculty and School System > Sekolah Siswazah
Depositing User: Mr Husni Ismail
Date Deposited: 26 Oct 2008 09:04
Last Modified: 24 Jul 2013 12:05
URI: http://etd.uum.edu.my/id/eprint/23

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