Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint
Assembly line balancing (ALB) problem has evolved in lined with the manufacturing advancement. Previous research in ALB mostly assumed that all workstations are having similar capabilities including the machines, tools and worker skills. Recently, researchers started to consider the ALB with resourc...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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IOP Publishing
2019
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| Online Access: | http://umpir.ump.edu.my/id/eprint/24526/ http://umpir.ump.edu.my/id/eprint/24526/1/Evaluation%20of%20rank-based%20crossovers%20to%20optimize%20real-life%20assembly%20line%20balancing%20with%20resource%20constraint.pdf |
| _version_ | 1848822055256981504 |
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| author | K. H., Khalib Nur Hairunnisa, Kamarudin M. F. F., Ab Rashid |
| author_facet | K. H., Khalib Nur Hairunnisa, Kamarudin M. F. F., Ab Rashid |
| author_sort | K. H., Khalib |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Assembly line balancing (ALB) problem has evolved in lined with the manufacturing advancement. Previous research in ALB mostly assumed that all workstations are having similar capabilities including the machines, tools and worker skills. Recently, researchers started to consider the ALB with resource constraint (ALB-RC) such as machine and worker. This paper aim to evaluate new rank-based crossovers to optimize real-life ALB-RC problem. Prior to this work, the authors had proposed rank-based crossover type I and II (RBC-I and II) to enhance the performance of Genetic Algorithm (GA) in optimizing ALB-RC problem. An industrial case study has been conducted in electronics industry. The results of industrial case study confirmed that the proposed ALB-RC model is capable to be used for the real industrial problem. At the same time, the result indicated that the GA with rank-based crossover is capable to optimize real-life problem. As a comparison, the number of workstation, resources and workers had reduced between 10 – 15% for the optimised layout using GA with RBC, compared with the original layout in the case study problem. |
| first_indexed | 2025-11-15T02:35:09Z |
| format | Conference or Workshop Item |
| id | ump-24526 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:35:09Z |
| publishDate | 2019 |
| publisher | IOP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-245262019-10-15T03:56:12Z http://umpir.ump.edu.my/id/eprint/24526/ Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint K. H., Khalib Nur Hairunnisa, Kamarudin M. F. F., Ab Rashid TJ Mechanical engineering and machinery Assembly line balancing (ALB) problem has evolved in lined with the manufacturing advancement. Previous research in ALB mostly assumed that all workstations are having similar capabilities including the machines, tools and worker skills. Recently, researchers started to consider the ALB with resource constraint (ALB-RC) such as machine and worker. This paper aim to evaluate new rank-based crossovers to optimize real-life ALB-RC problem. Prior to this work, the authors had proposed rank-based crossover type I and II (RBC-I and II) to enhance the performance of Genetic Algorithm (GA) in optimizing ALB-RC problem. An industrial case study has been conducted in electronics industry. The results of industrial case study confirmed that the proposed ALB-RC model is capable to be used for the real industrial problem. At the same time, the result indicated that the GA with rank-based crossover is capable to optimize real-life problem. As a comparison, the number of workstation, resources and workers had reduced between 10 – 15% for the optimised layout using GA with RBC, compared with the original layout in the case study problem. IOP Publishing 2019-01 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/24526/1/Evaluation%20of%20rank-based%20crossovers%20to%20optimize%20real-life%20assembly%20line%20balancing%20with%20resource%20constraint.pdf K. H., Khalib and Nur Hairunnisa, Kamarudin and M. F. F., Ab Rashid (2019) Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint. In: 1st International Postgraduate Conference on Mechanical Engineering, IPCME 2018 , 31 October 2018 , UMP Library, Pekan. pp. 1-8., 469 (12014). ISSN 1757-899X (Published) https://doi.org/10.1088/1757-899X/469/1/012014 |
| spellingShingle | TJ Mechanical engineering and machinery K. H., Khalib Nur Hairunnisa, Kamarudin M. F. F., Ab Rashid Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title | Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title_full | Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title_fullStr | Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title_full_unstemmed | Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title_short | Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| title_sort | evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/24526/ http://umpir.ump.edu.my/id/eprint/24526/ http://umpir.ump.edu.my/id/eprint/24526/1/Evaluation%20of%20rank-based%20crossovers%20to%20optimize%20real-life%20assembly%20line%20balancing%20with%20resource%20constraint.pdf |