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Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer

Energy utilization is a global issue due to the reduction of fossil resources and also negative environmental effect. The assembly process in the manufacturing sector needs to move to a new dimension by taking into account energy utilization when designing the assembly line. Recently, researchers st...

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Main Authors: M. F. F., Ab Rashid, N. M. Zuki, N. M., Oumer, A. N.
Format: Article
Language:English
English
Published: Penerbit UTHM 2022
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/37576/1/4861
http://umpir.ump.edu.my/id/eprint/37576/2/2022%20IJIE%20ALB%20EE%20using%20MMFO.pdf
http://umpir.ump.edu.my/id/eprint/37576/
https://doi.org/10.30880/ijie.2022.14.01.003
https://doi.org/10.30880/ijie.2022.14.01.003
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spelling my.ump.umpir.375762023-05-11T07:06:47Z http://umpir.ump.edu.my/id/eprint/37576/ Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer M. F. F., Ab Rashid N. M. Zuki, N. M. Oumer, A. N. TJ Mechanical engineering and machinery TS Manufactures Energy utilization is a global issue due to the reduction of fossil resources and also negative environmental effect. The assembly process in the manufacturing sector needs to move to a new dimension by taking into account energy utilization when designing the assembly line. Recently, researchers studied assembly line balancing (ALB) by considering energy utilization. However, the current works were limited to robotic assembly line problem. This work has proposed a model of energy efficient ALB (EE-ALB) and optimize the problem using a new modified moth flame optimizer (MMFO). The MMFO introduces the best flame concept to guide the global search direction. The proposed MMFO is tested by using 34 cases from benchmark problems. The numerical experiment results showed that the proposed MMFO, in general, is able to optimize the EE-ALB problem better compared to five comparison algorithms within reasonable computational time. Statistical test indicated that the MMFO has a significant performance in 75% of the cases. The proposed model can be a guideline for manufacturer to set up a green assembly line in future. Penerbit UTHM 2022-03 Article PeerReviewed text en http://umpir.ump.edu.my/id/eprint/37576/1/4861 pdf en cc_by_nc_sa_4 http://umpir.ump.edu.my/id/eprint/37576/2/2022%20IJIE%20ALB%20EE%20using%20MMFO.pdf M. F. F., Ab Rashid and N. M. Zuki, N. M. and Oumer, A. N. (2022) Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer. International Journal of Integrated Engineering, 14 (1). pp. 25-39. ISSN 2229-838X (Print); 2600-7916 (Online) https://doi.org/10.30880/ijie.2022.14.01.003 https://doi.org/10.30880/ijie.2022.14.01.003
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
English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
M. F. F., Ab Rashid
N. M. Zuki, N. M.
Oumer, A. N.
Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
description Energy utilization is a global issue due to the reduction of fossil resources and also negative environmental effect. The assembly process in the manufacturing sector needs to move to a new dimension by taking into account energy utilization when designing the assembly line. Recently, researchers studied assembly line balancing (ALB) by considering energy utilization. However, the current works were limited to robotic assembly line problem. This work has proposed a model of energy efficient ALB (EE-ALB) and optimize the problem using a new modified moth flame optimizer (MMFO). The MMFO introduces the best flame concept to guide the global search direction. The proposed MMFO is tested by using 34 cases from benchmark problems. The numerical experiment results showed that the proposed MMFO, in general, is able to optimize the EE-ALB problem better compared to five comparison algorithms within reasonable computational time. Statistical test indicated that the MMFO has a significant performance in 75% of the cases. The proposed model can be a guideline for manufacturer to set up a green assembly line in future.
format Article
author M. F. F., Ab Rashid
N. M. Zuki, N. M.
Oumer, A. N.
author_facet M. F. F., Ab Rashid
N. M. Zuki, N. M.
Oumer, A. N.
author_sort M. F. F., Ab Rashid
title Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
title_short Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
title_full Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
title_fullStr Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
title_full_unstemmed Modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
title_sort modelling and optimization of energy efficient assembly line balancing using modified moth flame optimizer
publisher Penerbit UTHM
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/37576/1/4861
http://umpir.ump.edu.my/id/eprint/37576/2/2022%20IJIE%20ALB%20EE%20using%20MMFO.pdf
http://umpir.ump.edu.my/id/eprint/37576/
https://doi.org/10.30880/ijie.2022.14.01.003
https://doi.org/10.30880/ijie.2022.14.01.003
_version_ 1768006871640178688
score 13.222552

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