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)
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Cost optimization; Hybrid flowshop; Scheduling; TLBO algorithm |
| Subjects: | T Technology > TS Manufactures |
| Faculty/Division: | Faculty of Mechanical and Automotive Engineering Technology Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Dr. Mohd Fadzil Faisae Ab. Rashid |
| Date Deposited: | 02 Oct 2024 07:25 |
| Last Modified: | 02 Oct 2024 07:25 |
| URI: | http://umpir.ump.edu.my/id/eprint/42704 |
| Download Statistic: | View Download Statistics |
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