UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

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.

[thumbnail of lau_lee_lyn.pdf] PDF
lau_lee_lyn.pdf
Restricted to Registered users only

Download (6MB) | Request a copy
[thumbnail of lau_lee_lyn.pdf]
Preview
PDF
lau_lee_lyn.pdf

Download (561kB) | Preview

Abstract

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)
Supervisor : UNSPECIFIED
Item ID: 23
Uncontrolled Keywords: Product Disassembly Planning, Artificial - Intelligence, Genetic Algorithm
Subjects: T Technology > TS Manufactures
Divisions: Faculty and School System > Sekolah Siswazah
Date Deposited: 26 Oct 2008 09:04
Last Modified: 24 Jul 2013 12:05
Department: Graduate School
URI: https://etd.uum.edu.my/id/eprint/23

Actions (login required)

View Item
View Item