Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization
Hybrid flow shop with energy consumption (HFS-EC) combine the flow shop scheduling and parallel machine scheduling problem with the aim to optimize energy utilization, besides regular makespan in the production scheduling. This paper optimizes an HFS-EC case study using Moth Flame Optimization (MFO)...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/37575/ http://umpir.ump.edu.my/id/eprint/37575/1/2022%20i3mf%20HFS%20EE%20MFO.pdf http://umpir.ump.edu.my/id/eprint/37575/7/Hybrid%20flow%20shop%20scheduling%20with%20energy%20consumption%20in%20machine%20shop%20.pdf |
| _version_ | 1848825287584776192 |
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| author | M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose N. M. Zuki, N. M. |
| author_facet | M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose N. M. Zuki, N. M. |
| author_sort | M. F. F., Ab Rashid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Hybrid flow shop with energy consumption (HFS-EC) combine the flow shop scheduling and parallel machine scheduling problem with the aim to optimize energy utilization, besides regular makespan in the production scheduling. This paper optimizes an HFS-EC case study using Moth Flame Optimization (MFO). The case study has been conducted in a machine shop concentrating on three machining types; lathe, milling and deburring. The objectives were to optimize makespan and total energy consumption in the machine schedule. Optimization using MFO has been conducted and the results was compared with well-established algorithm like Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization. The results were also compared with relatively recent algorithm such as Whale Optimization Algorithm and Harris Haws Optimization. Based on the optimization results, the MFO outperformed other comparison algorithms for the mean fitness and also the best fitness. Although there were other solutions with better individual optimization objectives, but results obtained by MFO compromised between minimum makespan and energy consumption. The proposed HFS-EC model and MFO algorithm has a great potential to be implemented in other scheduling case study due to benefit of reducing carbon emission and at the same time maintain the production output. |
| first_indexed | 2025-11-15T03:26:32Z |
| format | Conference or Workshop Item |
| id | ump-37575 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:26:32Z |
| publishDate | 2022 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-375752023-05-12T02:07:48Z http://umpir.ump.edu.my/id/eprint/37575/ Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose N. M. Zuki, N. M. TJ Mechanical engineering and machinery TS Manufactures Hybrid flow shop with energy consumption (HFS-EC) combine the flow shop scheduling and parallel machine scheduling problem with the aim to optimize energy utilization, besides regular makespan in the production scheduling. This paper optimizes an HFS-EC case study using Moth Flame Optimization (MFO). The case study has been conducted in a machine shop concentrating on three machining types; lathe, milling and deburring. The objectives were to optimize makespan and total energy consumption in the machine schedule. Optimization using MFO has been conducted and the results was compared with well-established algorithm like Genetic Algorithm, Ant Colony Optimization and Particle Swarm Optimization. The results were also compared with relatively recent algorithm such as Whale Optimization Algorithm and Harris Haws Optimization. Based on the optimization results, the MFO outperformed other comparison algorithms for the mean fitness and also the best fitness. Although there were other solutions with better individual optimization objectives, but results obtained by MFO compromised between minimum makespan and energy consumption. The proposed HFS-EC model and MFO algorithm has a great potential to be implemented in other scheduling case study due to benefit of reducing carbon emission and at the same time maintain the production output. Springer 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37575/1/2022%20i3mf%20HFS%20EE%20MFO.pdf pdf en http://umpir.ump.edu.my/id/eprint/37575/7/Hybrid%20flow%20shop%20scheduling%20with%20energy%20consumption%20in%20machine%20shop%20.pdf M. F. F., Ab Rashid and Ahmad Nasser, Mohd Rose and N. M. Zuki, N. M. (2022) Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization. In: Lecture Notes in Electrical Engineering; Innovative Manufacturing, Mechatronics and Materials Forum, iM3F 2020 , 6 August 2020 , Gambang, Kuantan. pp. 77-86., 730 (262829). ISSN 1876-1100 ISBN 978-981334596-6 (Published) https://doi.org/10.1007/978-981-33-4597-3_8 |
| spellingShingle | TJ Mechanical engineering and machinery TS Manufactures M. F. F., Ab Rashid Ahmad Nasser, Mohd Rose N. M. Zuki, N. M. Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title | Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title_full | Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title_fullStr | Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title_full_unstemmed | Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title_short | Hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| title_sort | hybrid flow shop scheduling with energy consumption in machine shop using moth flame optimization |
| topic | TJ Mechanical engineering and machinery TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/37575/ http://umpir.ump.edu.my/id/eprint/37575/ http://umpir.ump.edu.my/id/eprint/37575/1/2022%20i3mf%20HFS%20EE%20MFO.pdf http://umpir.ump.edu.my/id/eprint/37575/7/Hybrid%20flow%20shop%20scheduling%20with%20energy%20consumption%20in%20machine%20shop%20.pdf |