Simulation Model and Genetic Algorithm to Assembly Line Balancing

Assembly lines are flow-line production systems which are of great importance in the industrial production of high quantity standardized commodities and more recently even gained importance in low volume production of customized products. The assembly line involves many famous problems that is unbal...

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Main Authors:	Ali, A. J. Adham, Ahmad Nazif, Noor Kamar, Abdullah, Ibrahim, Sorooshian, Shahryar
Format:	Article
Language:	English English
Published:	Universiti Malaysia Pahang 2013
Subjects:	T Technology (General) TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/14106/ http://umpir.ump.edu.my/id/eprint/14106/ http://umpir.ump.edu.my/id/eprint/14106/1/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/14106/4/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm1.pdf

id	ump-14106
recordtype	eprints
spelling	ump-141062018-02-01T07:10:46Z http://umpir.ump.edu.my/id/eprint/14106/ Simulation Model and Genetic Algorithm to Assembly Line Balancing Ali, A. J. Adham Ahmad Nazif, Noor Kamar Abdullah, Ibrahim Sorooshian, Shahryar T Technology (General) TJ Mechanical engineering and machinery Assembly lines are flow-line production systems which are of great importance in the industrial production of high quantity standardized commodities and more recently even gained importance in low volume production of customized products. The assembly line involves many famous problems that is unbalancing cycle time among the workstations. Simulation Model (SM) is one of the most useful modelling tool for the design of many types of systems. It can combine with Genetic Algorithm system (GAs) to obtain the optimum solution in any type of issue area. In this study the SM and GAs will be applied to solve the unbalancing problem at the automobile manufacture system. This method will improve the efficiency of the assembly line through reduces the queuing among the workstation, increase the labor of working time then to increase the ratio of the productions. Universiti Malaysia Pahang 2013 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14106/1/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14106/4/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm1.pdf Ali, A. J. Adham and Ahmad Nazif, Noor Kamar and Abdullah, Ibrahim and Sorooshian, Shahryar (2013) Simulation Model and Genetic Algorithm to Assembly Line Balancing. International Journal of Technology Management, 2. pp. 63-72. ISSN 2289-2753 http://www.ump.edu.my/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	T Technology (General) TJ Mechanical engineering and machinery
spellingShingle	T Technology (General) TJ Mechanical engineering and machinery Ali, A. J. Adham Ahmad Nazif, Noor Kamar Abdullah, Ibrahim Sorooshian, Shahryar Simulation Model and Genetic Algorithm to Assembly Line Balancing
description	Assembly lines are flow-line production systems which are of great importance in the industrial production of high quantity standardized commodities and more recently even gained importance in low volume production of customized products. The assembly line involves many famous problems that is unbalancing cycle time among the workstations. Simulation Model (SM) is one of the most useful modelling tool for the design of many types of systems. It can combine with Genetic Algorithm system (GAs) to obtain the optimum solution in any type of issue area. In this study the SM and GAs will be applied to solve the unbalancing problem at the automobile manufacture system. This method will improve the efficiency of the assembly line through reduces the queuing among the workstation, increase the labor of working time then to increase the ratio of the productions.
format	Article
author	Ali, A. J. Adham Ahmad Nazif, Noor Kamar Abdullah, Ibrahim Sorooshian, Shahryar
author_facet	Ali, A. J. Adham Ahmad Nazif, Noor Kamar Abdullah, Ibrahim Sorooshian, Shahryar
author_sort	Ali, A. J. Adham
title	Simulation Model and Genetic Algorithm to Assembly Line Balancing
title_short	Simulation Model and Genetic Algorithm to Assembly Line Balancing
title_full	Simulation Model and Genetic Algorithm to Assembly Line Balancing
title_fullStr	Simulation Model and Genetic Algorithm to Assembly Line Balancing
title_full_unstemmed	Simulation Model and Genetic Algorithm to Assembly Line Balancing
title_sort	simulation model and genetic algorithm to assembly line balancing
publisher	Universiti Malaysia Pahang
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/14106/ http://umpir.ump.edu.my/id/eprint/14106/ http://umpir.ump.edu.my/id/eprint/14106/1/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm.pdf http://umpir.ump.edu.my/id/eprint/14106/4/ftech-2013-ali-%20Simulation%20Model%20and%20Genetic%20Algorithm1.pdf
first_indexed	2023-09-18T22:17:29Z
last_indexed	2023-09-18T22:17:29Z
_version_	1777415434055712768

Simulation Model and Genetic Algorithm to Assembly Line Balancing

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