Mohd Fadzil Faisae, Ab Rashid and Muhammad Ammar, N. M. (2022) A novel Tiki-Taka algorithm to optimize hybrid flow shop scheduling with energy consumption. Engineering and Applied Science Research, 49 (2). pp. 189-200. ISSN 2539-6218. (Published)
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Abstract
Hybrid flow shop scheduling (HFS) has been thoroughly studied due to its significant impact on productivity. Besides the impact on productivity, the abovementioned problem has attracted researchers from different background because of its difficulty in obtaining the most optimum solution. HFS complexity provides good opportunity for researcher to propose an efficient optimization method for the said problem. Recently, research in HFS has moved towards sustainability by considering energy utilization in the study. Consequently, the problem becomes more difficult to be solved via existing approach. This paper modeled and optimized HFS with energy consumption using Tiki-Taka Algorithm (TTA). TTA is a novel algorithm inspired by football playing style that focuses on short passing and player positioning. In different with existing metaheuristics, the TTA collected information from nearby solution and utilized multiple leaders’ concept in the algorithm. The research began with problem modeling, followed by TTA algorithm formulation. A computational experiment is then conducted using benchmark problems. Then, a case study problem is presented to assess the applicability of model and algorithm in real-life problems. The results indicated that the TTA consistently was in the first and second ranks in all benchmark problems. In addition, the case study results confirmed that TTA is able to search the best fitness solution by compromising the makespan and total energy utilization in the production schedule. In future, the potential of TTA will be further investigated for flexible hybrid flow shop scheduling problems.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Hybrid flow shop; Tiki-Taka algorithm; Energy efficiency |
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures |
| Faculty/Division: | College of Engineering Faculty of Mechanical and Automotive Engineering Technology |
| Depositing User: | Dr. Mohd Fadzil Faisae Ab. Rashid |
| Date Deposited: | 28 Jul 2022 01:49 |
| Last Modified: | 28 Jul 2022 01:49 |
| URI: | http://umpir.ump.edu.my/id/eprint/33762 |
| Download Statistic: | View Download Statistics |
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