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...

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Main Authors:	K. H., Khalib, Nur Hairunnisa, Kamarudin, M. F. F., Ab Rashid
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2019
Subjects:	TJ Mechanical engineering and machinery
Online Access:	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

id	ump-24526
recordtype	eprints
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 https://doi.org/10.1088/1757-899X/469/1/012014
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
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
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.
format	Conference or Workshop Item
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
title	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_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_sort	evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint
publisher	IOP Publishing
publishDate	2019
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
first_indexed	2023-09-18T22:37:10Z
last_indexed	2023-09-18T22:37:10Z
_version_	1777416673217740800

Evaluation of rank-based crossovers to optimize real-life assembly line balancing with resource constraint

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