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Modelling and optimization of assembly line balancing with multi-resource constraints

Assembly Line Balancing (ALB) is an attempt to assign tasks to various workstations along a line so that the precedence relations are satisfied and performance measures are optimised. Assumption by previous researches that any assembly task can be performed in any workstation encourages the author t...

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Main Authors:	Ab Rashid, Mohd Fadzil Faisae, Razman, Mat Tahar, Nik Mohamed, Nik Mohd Zuki, Rose, Ahmad Nasser Mohd, Baharom, Mohamad Zairi
Format:	Research Report
Language:	English
Published:	2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/36426/1/Modelling%20and%20optimization%20of%20assembly%20line%20balancing%20with%20multi-resource%20constraints.wm.pdf http://umpir.ump.edu.my/id/eprint/36426/
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spelling	my.ump.umpir.364262023-02-28T07:44:24Z http://umpir.ump.edu.my/id/eprint/36426/ Modelling and optimization of assembly line balancing with multi-resource constraints Ab Rashid, Mohd Fadzil Faisae Razman, Mat Tahar Nik Mohamed, Nik Mohd Zuki Rose, Ahmad Nasser Mohd Baharom, Mohamad Zairi TJ Mechanical engineering and machinery Assembly Line Balancing (ALB) is an attempt to assign tasks to various workstations along a line so that the precedence relations are satisfied and performance measures are optimised. Assumption by previous researches that any assembly task can be performed in any workstation encourages the author to focus on the resource usage in ALB. Limited number of resources in the industry also becomes a vital influencer to consider this constraint in ALB. This research aim to model and optimize the ALB with resource constraints. In different with existing work that assume all workstations have similar capability, this research consider the tool, worker and equipment constraints in the assembly process. The early study reveal that the current trend in production line is becoming more complex due to growth in the product development and also market force to minimize the set up cost. Therefore, beside only consider the simple assembly line problem (SALB), this research also consider two-sided assembly line problem (2S-ALB) and mixed-model assembly line problem (MMALB) that match with current trend in assembly layout. All three version of ALB problems have been modelled to include the general resource constraints. This make all three versions of ALB model is unique compared with existing model in literature. In all three ALB version, the resource constraints have been set as one of objective function to be minimized. The optimization was conducted by using different optimization algorithms. In SALB, we found that the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) have better performance. Meanwhile, for 2S-ALB and MMALB, the Particle Swarm Optimization and Ant colony Optimization have superior performance respectively. The validation for the problem ALB with resource constraints have been conducted in electronic and automotive assembly plant. The final result indicated that the proposed model is capable to improve the assembly efficiency and also capable to reduce the number of the resources required in assembly plant. 2017 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36426/1/Modelling%20and%20optimization%20of%20assembly%20line%20balancing%20with%20multi-resource%20constraints.wm.pdf Ab Rashid, Mohd Fadzil Faisae and Razman, Mat Tahar and Nik Mohamed, Nik Mohd Zuki and Rose, Ahmad Nasser Mohd and Baharom, Mohamad Zairi (2017) Modelling and optimization of assembly line balancing with multi-resource constraints. , [Research Report: Research Report] (Unpublished)
institution	Universiti Malaysia Pahang
building	UMP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang
content_source	UMP Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ab Rashid, Mohd Fadzil Faisae Razman, Mat Tahar Nik Mohamed, Nik Mohd Zuki Rose, Ahmad Nasser Mohd Baharom, Mohamad Zairi Modelling and optimization of assembly line balancing with multi-resource constraints
description	Assembly Line Balancing (ALB) is an attempt to assign tasks to various workstations along a line so that the precedence relations are satisfied and performance measures are optimised. Assumption by previous researches that any assembly task can be performed in any workstation encourages the author to focus on the resource usage in ALB. Limited number of resources in the industry also becomes a vital influencer to consider this constraint in ALB. This research aim to model and optimize the ALB with resource constraints. In different with existing work that assume all workstations have similar capability, this research consider the tool, worker and equipment constraints in the assembly process. The early study reveal that the current trend in production line is becoming more complex due to growth in the product development and also market force to minimize the set up cost. Therefore, beside only consider the simple assembly line problem (SALB), this research also consider two-sided assembly line problem (2S-ALB) and mixed-model assembly line problem (MMALB) that match with current trend in assembly layout. All three version of ALB problems have been modelled to include the general resource constraints. This make all three versions of ALB model is unique compared with existing model in literature. In all three ALB version, the resource constraints have been set as one of objective function to be minimized. The optimization was conducted by using different optimization algorithms. In SALB, we found that the Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) have better performance. Meanwhile, for 2S-ALB and MMALB, the Particle Swarm Optimization and Ant colony Optimization have superior performance respectively. The validation for the problem ALB with resource constraints have been conducted in electronic and automotive assembly plant. The final result indicated that the proposed model is capable to improve the assembly efficiency and also capable to reduce the number of the resources required in assembly plant.
format	Research Report
author	Ab Rashid, Mohd Fadzil Faisae Razman, Mat Tahar Nik Mohamed, Nik Mohd Zuki Rose, Ahmad Nasser Mohd Baharom, Mohamad Zairi
author_facet	Ab Rashid, Mohd Fadzil Faisae Razman, Mat Tahar Nik Mohamed, Nik Mohd Zuki Rose, Ahmad Nasser Mohd Baharom, Mohamad Zairi
author_sort	Ab Rashid, Mohd Fadzil Faisae
title	Modelling and optimization of assembly line balancing with multi-resource constraints
title_short	Modelling and optimization of assembly line balancing with multi-resource constraints
title_full	Modelling and optimization of assembly line balancing with multi-resource constraints
title_fullStr	Modelling and optimization of assembly line balancing with multi-resource constraints
title_full_unstemmed	Modelling and optimization of assembly line balancing with multi-resource constraints
title_sort	modelling and optimization of assembly line balancing with multi-resource constraints
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/36426/1/Modelling%20and%20optimization%20of%20assembly%20line%20balancing%20with%20multi-resource%20constraints.wm.pdf http://umpir.ump.edu.my/id/eprint/36426/
_version_	1759689594087931904
score	13.222552

Modelling and optimization of assembly line balancing with multi-resource constraints

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