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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| Format: | Article |
| Language: | English English |
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Universiti Malaysia Pahang
2013
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| Online Access: | 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 |
| _version_ | 1848819640056152064 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:56:46Z |
| format | Article |
| id | ump-14106 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T01:56:46Z |
| publishDate | 2013 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-141062020-06-04T06:53:05Z 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. (Published) http://www.ump.edu.my/ |
| 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 |
| title | 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_short | Simulation Model and Genetic Algorithm to Assembly Line Balancing |
| title_sort | simulation model and genetic algorithm to assembly line balancing |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| 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 |