Modelling and optimization of energy efficient assemblyline 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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| Format: | Article |
| Language: | English |
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Penerbit UTHM
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/35148/ http://umpir.ump.edu.my/id/eprint/35148/1/Modelling%20and%20optimization%20of%20energy%20efficient%20assembly%20line%20balancing%20using%20modified%20moth%20flame%20optimizer.pdf |
| _version_ | 1848824701442326528 |
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| author | Mohd Fadzil Faisae, Ab Rashid Nik Mohd Zuki, Nik Mohamed Oumer, Ahmed Nurye |
| author_facet | Mohd Fadzil Faisae, Ab Rashid Nik Mohd Zuki, Nik Mohamed Oumer, Ahmed Nurye |
| author_sort | Mohd Fadzil Faisae, Ab Rashid |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:17:13Z |
| format | Article |
| id | ump-35148 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:17:13Z |
| publishDate | 2022 |
| publisher | Penerbit UTHM |
| recordtype | eprints |
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| spelling | ump-351482022-10-31T09:14:06Z http://umpir.ump.edu.my/id/eprint/35148/ Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer Mohd Fadzil Faisae, Ab Rashid Nik Mohd Zuki, Nik Mohamed Oumer, Ahmed Nurye TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery 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 Article PeerReviewed pdf en cc_by_nc_sa_4 http://umpir.ump.edu.my/id/eprint/35148/1/Modelling%20and%20optimization%20of%20energy%20efficient%20assembly%20line%20balancing%20using%20modified%20moth%20flame%20optimizer.pdf Mohd Fadzil Faisae, Ab Rashid and Nik Mohd Zuki, Nik Mohamed and Oumer, Ahmed Nurye (2022) Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer. International Journal of Integrated Engineering, 14 (1). pp. 25-39. ISSN 2229-838X. (Published) https://doi.org/10.30880/ijie.2022.14.01.003 https://doi.org/10.30880/ijie.2022.14.01.003 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery Mohd Fadzil Faisae, Ab Rashid Nik Mohd Zuki, Nik Mohamed Oumer, Ahmed Nurye Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title | Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title_full | Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title_fullStr | Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title_full_unstemmed | Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title_short | Modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| title_sort | modelling and optimization of energy efficient assemblyline balancing using modified moth flame optimizer |
| topic | TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/35148/ http://umpir.ump.edu.my/id/eprint/35148/ http://umpir.ump.edu.my/id/eprint/35148/ http://umpir.ump.edu.my/id/eprint/35148/1/Modelling%20and%20optimization%20of%20energy%20efficient%20assembly%20line%20balancing%20using%20modified%20moth%20flame%20optimizer.pdf |