Manufacturing process planning optimisation in reconfigurable multiple parts flow lines

Ismail, Napsiah and Musharavati, Farayi and Hamouda, Abdel Majid Saleem and Ramli, Abdul Rahman (2008) Manufacturing process planning optimisation in reconfigurable multiple parts flow lines. Journal of Achievements in Materials and Manufacturing Engineering, 31 (2). pp. 671-677. ISSN 1734-8412

Full text not available from this repository.

Official URL: http://www.journalamme.org/papers_vol31_2/31275.pdf

Abstract

Purpose: This paper explores the capabilities of genetic algorithms in handling optimization of the critical issues mentioned above for the purpose of manufacturing process planning in reconfigurable manufacturing activities. Two modified genetic algorithms are devised and employed to provide the best approximate process planning solution. Modifications included adapting genetic operators to the problem specific knowledge and implementing application specific heuristics to enhance the search efficiency. Design/methodology/approach: The genetic algorithm methodology implements a genetic algorithm that is augmented by application specific heuristics in order to guide the search for an optimal solution. The case study is based on the manufacturing system. Raw materials enter the system through an input stage and exit the system through an output stage. The system is composed of sixteen (16) processing modules that are arranged in four processing stages. Findings: The results indicate that the two genetic algorithms are able to converge to optimal solutions in reasonable time. A computational study shows that improved solutions can be obtained by implementing a genetic algorithm with an extended diversity control mechanism. Research limitations/implications: This paper has examined the issues of MPP optimization in a reconfigurable manufacturing framework with the help of a reconfigurable multiparts manufacturing flow line. Originality/value: The results of the case illustration have demonstrated the practical use of diversity control implemented in the MGATO technique. In comparison to MGAWTO, the implemented MGATO improves the population diversity through a customized threshold operator. It was clear that the MGATO can obtain better solution quality by foiling the tendency towards premature convergence. Keywords: Reconfigurable manufacturing; Manufacturing process planning optimisation; Process selection; Process sequencing; Parts loading scheduling

Item Type:Article
Keyword:Reconfigurable manufacturing, Manufacturing process planning optimisation
Subject:Algorithms
Subject:Manufacturing
Faculty or Institute:Faculty of Engineering
ID Code:10780
Deposited By: Erni Suraya Abdul Aziz
Deposited On:15 Mar 2011 13:32
Last Modified:15 Mar 2011 13:35

Repository Staff Only: Edit item detail

Document Download Statistics

This item has been downloaded for since 15 Mar 2011 13:32.

View statistics for "Manufacturing process planning optimisation in reconfigurable multiple parts flow lines"


Universiti Putra Malaysia Institutional Repository

Universiti Putra Malaysia Institutional Repository is an on-line digital archive that serves as a central collection and storage of scientific information and research at the Universiti Putra Malaysia.

Currently, the collections deposited in the IR consists of Master and PhD theses, Master and PhD Project Report, Journal Articles, Journal Bulletins, Conference Papers, UPM News, Newspaper Cuttings, Patents and Inaugural Lectures.

As the policy of the university does not permit users to view thesis in full text, access is only given to the first 24 pages only.