NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints

The existing line balancing algorithm assume that any assembly task can be performed in any workstation. However, in reality, there are resource constraints to be considered such as machine, tool, skilled worker etc. In this research we consider all the resources in assembly, so that the assembly ta...

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Main Authors: M. F. F., Ab Rashid, M. M., Razali, Make, M. R. Abdullah, N. M. Zuki, N. M., A. N. M., Rose
Format: Conference or Workshop Item
Language:English
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/17321/
http://umpir.ump.edu.my/id/eprint/17321/
http://umpir.ump.edu.my/id/eprint/17321/1/317_321.pdf
id ump-17321
recordtype eprints
spelling ump-173212018-04-27T07:31:17Z http://umpir.ump.edu.my/id/eprint/17321/ NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints M. F. F., Ab Rashid M. M., Razali Make, M. R. Abdullah N. M. Zuki, N. M. A. N. M., Rose QA75 Electronic computers. Computer science The existing line balancing algorithm assume that any assembly task can be performed in any workstation. However, in reality, there are resource constraints to be considered such as machine, tool, skilled worker etc. In this research we consider all the resources in assembly, so that the assembly task assignment can be performed smoothly using the available resources in the manufacturing plant. In this research, we developed an Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) to optimize assembly line balancing with resource constraint (ALB-RC). 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17321/1/317_321.pdf M. F. F., Ab Rashid and M. M., Razali and Make, M. R. Abdullah and N. M. Zuki, N. M. and A. N. M., Rose (2016) NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints. In: Proceeding of International Competition and Exhibition on Computing Innovation 2016, 6-8 December 2016 , University Sports Complex, Universiti Malaysia Pahang. pp. 317-321.. ISBN 978-967-2054-04-7 http://icecinno.ump.edu.my/index.php/en/documents/pdf-files/proceeding-2016/177-317-321
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
M. F. F., Ab Rashid
M. M., Razali
Make, M. R. Abdullah
N. M. Zuki, N. M.
A. N. M., Rose
NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
description The existing line balancing algorithm assume that any assembly task can be performed in any workstation. However, in reality, there are resource constraints to be considered such as machine, tool, skilled worker etc. In this research we consider all the resources in assembly, so that the assembly task assignment can be performed smoothly using the available resources in the manufacturing plant. In this research, we developed an Elitist Non-Dominated Sorting Genetic Algorithm (NSGA-II) to optimize assembly line balancing with resource constraint (ALB-RC).
format Conference or Workshop Item
author M. F. F., Ab Rashid
M. M., Razali
Make, M. R. Abdullah
N. M. Zuki, N. M.
A. N. M., Rose
author_facet M. F. F., Ab Rashid
M. M., Razali
Make, M. R. Abdullah
N. M. Zuki, N. M.
A. N. M., Rose
author_sort M. F. F., Ab Rashid
title NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
title_short NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
title_full NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
title_fullStr NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
title_full_unstemmed NSGA-II Algorithm for Assembly Line Balancing with Multi-Resource Constraints
title_sort nsga-ii algorithm for assembly line balancing with multi-resource constraints
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/17321/
http://umpir.ump.edu.my/id/eprint/17321/
http://umpir.ump.edu.my/id/eprint/17321/1/317_321.pdf
first_indexed 2023-09-18T22:23:50Z
last_indexed 2023-09-18T22:23:50Z
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