Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm
A cost-based hybrid flowshop scheduling (CHFS) combines flow shop and job shop elements, with cost considerations as a key indicator. CHFS is a complex combinatorial optimization challenge encountered in real-world manufacturing and production environments. This paper investigates the optimization o...
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| Format: | Article |
| Language: | English |
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Universiti Malaysia Pahang
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42704/ http://umpir.ump.edu.my/id/eprint/42704/1/document.pdf |
| _version_ | 1848826680934662144 |
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| author | Ullah, Wasif Muhammad Ammar, Nik Mu’tasim Mohd Fadzil Faisae, Ab Rashid |
| author_facet | Ullah, Wasif Muhammad Ammar, Nik Mu’tasim Mohd Fadzil Faisae, Ab Rashid |
| author_sort | Ullah, Wasif |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | A cost-based hybrid flowshop scheduling (CHFS) combines flow shop and job shop elements, with cost considerations as a key indicator. CHFS is a complex combinatorial optimization challenge encountered in real-world manufacturing and production environments. This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. Effective CHFS is crucial for achieving production balance, reducing costs, and improving customer satisfaction. The authors formulate the CHFS scheduling problem and propose applying the TLBO algorithm to minimize total costs, including labor, energy, maintenance, and delay expenses. The performance of the TLBO technique is evaluated through computational experiments on various CHFS problem instances. The results demonstrate the effectiveness of the TLBO algorithm, which achieved the best results in 42% of the test cases, surpassing other algorithms like the Grey Wolf Optimizer and Particle Swarm Optimization. Additionally, the TLBO algorithm had the highest average performance ranking across the comparative algorithms. The study highlights the potential of the TLBO algorithm as an efficient optimization tool for complex manufacturing scheduling problems. |
| first_indexed | 2025-11-15T03:48:41Z |
| format | Article |
| id | ump-42704 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:48:41Z |
| publishDate | 2024 |
| publisher | Universiti Malaysia Pahang |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-427042024-10-02T07:25:54Z http://umpir.ump.edu.my/id/eprint/42704/ Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm Ullah, Wasif Muhammad Ammar, Nik Mu’tasim Mohd Fadzil Faisae, Ab Rashid TS Manufactures A cost-based hybrid flowshop scheduling (CHFS) combines flow shop and job shop elements, with cost considerations as a key indicator. CHFS is a complex combinatorial optimization challenge encountered in real-world manufacturing and production environments. This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. Effective CHFS is crucial for achieving production balance, reducing costs, and improving customer satisfaction. The authors formulate the CHFS scheduling problem and propose applying the TLBO algorithm to minimize total costs, including labor, energy, maintenance, and delay expenses. The performance of the TLBO technique is evaluated through computational experiments on various CHFS problem instances. The results demonstrate the effectiveness of the TLBO algorithm, which achieved the best results in 42% of the test cases, surpassing other algorithms like the Grey Wolf Optimizer and Particle Swarm Optimization. Additionally, the TLBO algorithm had the highest average performance ranking across the comparative algorithms. The study highlights the potential of the TLBO algorithm as an efficient optimization tool for complex manufacturing scheduling problems. Universiti Malaysia Pahang 2024-09 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/42704/1/document.pdf Ullah, Wasif and Muhammad Ammar, Nik Mu’tasim and Mohd Fadzil Faisae, Ab Rashid (2024) Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm. International Journal of Automotive and Mechanical Engineering (IJAME), 21 (3). pp. 11616-11628. ISSN 1985-9325(Print); 2180-1606 (Online). (Published) https://doi.org/10.15282/ijame.21.3.2024.13.0896 https://doi.org/10.15282/ijame.21.3.2024.13.0896 |
| spellingShingle | TS Manufactures Ullah, Wasif Muhammad Ammar, Nik Mu’tasim Mohd Fadzil Faisae, Ab Rashid Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title | Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title_full | Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title_fullStr | Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title_full_unstemmed | Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title_short | Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| title_sort | optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/42704/ http://umpir.ump.edu.my/id/eprint/42704/ http://umpir.ump.edu.my/id/eprint/42704/ http://umpir.ump.edu.my/id/eprint/42704/1/document.pdf |