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Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies


Yasin, Azman and Puteh, Nurnasran and Daud, Ruslizam (2009) Product assembly and disassembly sequence optimization based on genetic algorithm and design for assembly methodologies. In: International Conference on Computing and Informatics 2009 (ICOCI09), 24-25 June 2009, Legend Hotel, Kuala Lumpur.

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Abstract

Product assembly and disassembly sequences are the most crucial operations in product lifecycle. In this paper, an Artificial Intelligence (AI) technique, namely Genetic Algorithm (GA) is proposed to optimize product components assembly and disassembly sequences.The proposed methodology is developed and tested on an industrial product made of plastics with no integrated assembly and permanent joint parts.GA method is applied to determine the accuracy and optimum results based on 20 assembly and disassembly sequence solutions that was generated by the Design for Assembly methodology.The results indicated that GA based approach is able to obtain a near optimal solution for assembly and disassembly sequences.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983--44150-2-0 Organized by: UUM College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords: Artificial Intelligence, Genetic Algorithms, Assembly and Disassembly Sequences, Design for Assembly and Disassembly
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: College of Arts and Sciences
Depositing User: Dr. Azman Yasin
Date Deposited: 02 Apr 2015 07:03
Last Modified: 02 Apr 2015 07:03
URI: http://repo.uum.edu.my/id/eprint/13551

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