Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics
The cost-based hybrid flow shop (CHFS) scheduling has been immensely studied due to its huge impact on productivity. For any profit-oriented organization, it is important to optimize total production costs. However, few researchers have studied hybrid flow shops (HFS) with total production cost util...
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| Format: | Article |
| Language: | English |
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SRN Intellectual Resources
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/40059/ http://umpir.ump.edu.my/id/eprint/40059/1/Modeling%20and%20optimization%20of%20cost-based%20hybrid%20flow.pdf |
| _version_ | 1848825940235255808 |
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| author | Ullah, Wasif Mohd Fadzil Faisae, Ab Rashid Muhammad Ammar, Nik Mu’tasim |
| author_facet | Ullah, Wasif Mohd Fadzil Faisae, Ab Rashid Muhammad Ammar, Nik Mu’tasim |
| author_sort | Ullah, Wasif |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | The cost-based hybrid flow shop (CHFS) scheduling has been immensely studied due to its huge impact on productivity. For any profit-oriented organization, it is important to optimize total production costs. However, few researchers have studied hybrid flow shops (HFS) with total production cost utilization. This paper aims to develop a computational model and test the exploration capability of metaheuristics algorithms while optimizing the CHFS problem. Carlier and Neron defined three hypothetical benchmark problems for computational experiments. The popular optimization algorithms PSO, GA, and ACO were implemented on the CHFS model with ten optimization runs. The experimental results proven that ACO performed well regarding mean fitness value for all benchmark problems. Besides this, CPU time for PSO was very high compared to other algorithms. In the future, other optimization algorithms will be tested for the CHFS model, such as Teaching Learning Based Optimization (TLBO) and the Crayfish Optimization Algorithm (COA). |
| first_indexed | 2025-11-15T03:36:54Z |
| format | Article |
| id | ump-40059 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:36:54Z |
| publishDate | 2023 |
| publisher | SRN Intellectual Resources |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-400592024-01-17T06:25:03Z http://umpir.ump.edu.my/id/eprint/40059/ Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics Ullah, Wasif Mohd Fadzil Faisae, Ab Rashid Muhammad Ammar, Nik Mu’tasim TJ Mechanical engineering and machinery The cost-based hybrid flow shop (CHFS) scheduling has been immensely studied due to its huge impact on productivity. For any profit-oriented organization, it is important to optimize total production costs. However, few researchers have studied hybrid flow shops (HFS) with total production cost utilization. This paper aims to develop a computational model and test the exploration capability of metaheuristics algorithms while optimizing the CHFS problem. Carlier and Neron defined three hypothetical benchmark problems for computational experiments. The popular optimization algorithms PSO, GA, and ACO were implemented on the CHFS model with ten optimization runs. The experimental results proven that ACO performed well regarding mean fitness value for all benchmark problems. Besides this, CPU time for PSO was very high compared to other algorithms. In the future, other optimization algorithms will be tested for the CHFS model, such as Teaching Learning Based Optimization (TLBO) and the Crayfish Optimization Algorithm (COA). SRN Intellectual Resources 2023-12 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/40059/1/Modeling%20and%20optimization%20of%20cost-based%20hybrid%20flow.pdf Ullah, Wasif and Mohd Fadzil Faisae, Ab Rashid and Muhammad Ammar, Nik Mu’tasim (2023) Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics. International Journal of Global Optimization and Its Application, 2 (4). pp. 244-254. ISSN 2948-4030. (Published) https://doi.org/10.56225/ijgoia.v2i4.265 https://doi.org/10.56225/ijgoia.v2i4.265 |
| spellingShingle | TJ Mechanical engineering and machinery Ullah, Wasif Mohd Fadzil Faisae, Ab Rashid Muhammad Ammar, Nik Mu’tasim Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title | Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title_full | Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title_fullStr | Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title_full_unstemmed | Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title_short | Modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| title_sort | modeling and optimization of cost-based hybrid flow shop scheduling problem using metaheuristics |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/40059/ http://umpir.ump.edu.my/id/eprint/40059/ http://umpir.ump.edu.my/id/eprint/40059/ http://umpir.ump.edu.my/id/eprint/40059/1/Modeling%20and%20optimization%20of%20cost-based%20hybrid%20flow.pdf |