An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm
Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases. This research aims to propose the Grey Wolf Optimizer (GWO) algorithm to minimize energy consumption in the No...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Muhammadiyah University Press
2022-06-01
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| Series: | Jurnal Ilmiah Teknik Industri |
| Subjects: | |
| Online Access: | https://journals.ums.ac.id/index.php/jiti/article/view/17634 |
| _version_ | 1818192732637626368 |
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| author | Cynthia Novel Al-Imron Dana Marsetiya Utama Shanty Kusuma Dewi |
| author_facet | Cynthia Novel Al-Imron Dana Marsetiya Utama Shanty Kusuma Dewi |
| author_sort | Cynthia Novel Al-Imron |
| collection | DOAJ |
| description | Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases. This research aims to propose the Grey Wolf Optimizer (GWO) algorithm to minimize energy consumption in the No Idle Permutations Flowshop Problem (NIPFP). The GWO algorithm has four phases: initial population initialization, implementation of the Large Rank Value (LRV), grey wolf exploration, and exploitation. To determine the level of machine energy consumption, this study uses three different speed levels. To investigate this problem, 9 cases were used. The experiments show that it produces a massive amount of energy when a job is processed fast. Energy consumption is lower when machining at a slower speed. The performance of the GWO algorithm has been compared to that of the Cuckoo Search (CS) algorithm in several experiments. In tests, the Grey Wolf Optimizer (GWO) outperforms the Cuckoo Search (CS) algorithm. |
| first_indexed | 2024-12-12T00:35:11Z |
| format | Article |
| id | doaj.art-23108281d5494723a5c0d20d6d011fe3 |
| institution | Directory Open Access Journal |
| issn | 1412-6869 2460-4038 |
| language | English |
| last_indexed | 2024-12-12T00:35:11Z |
| publishDate | 2022-06-01 |
| publisher | Muhammadiyah University Press |
| record_format | Article |
| series | Jurnal Ilmiah Teknik Industri |
| spelling | doaj.art-23108281d5494723a5c0d20d6d011fe32022-12-22T00:44:22ZengMuhammadiyah University PressJurnal Ilmiah Teknik Industri1412-68692460-40382022-06-0121111010.23917/jiti.v21i1.176347307An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer AlgorithmCynthia Novel Al-Imron0Dana Marsetiya Utama1Shanty Kusuma Dewi2University of Muhammadiyah MalangIndustrial Engineering Universitas Muhammadiyah MalangIndustrial Engineering Universitas Muhammadiyah MalangEnergy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases. This research aims to propose the Grey Wolf Optimizer (GWO) algorithm to minimize energy consumption in the No Idle Permutations Flowshop Problem (NIPFP). The GWO algorithm has four phases: initial population initialization, implementation of the Large Rank Value (LRV), grey wolf exploration, and exploitation. To determine the level of machine energy consumption, this study uses three different speed levels. To investigate this problem, 9 cases were used. The experiments show that it produces a massive amount of energy when a job is processed fast. Energy consumption is lower when machining at a slower speed. The performance of the GWO algorithm has been compared to that of the Cuckoo Search (CS) algorithm in several experiments. In tests, the Grey Wolf Optimizer (GWO) outperforms the Cuckoo Search (CS) algorithm.https://journals.ums.ac.id/index.php/jiti/article/view/17634no idle permutation flow shopenergy efficiencymetaheuristicgrey wolf optimizer algorithm |
| spellingShingle | Cynthia Novel Al-Imron Dana Marsetiya Utama Shanty Kusuma Dewi An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm Jurnal Ilmiah Teknik Industri no idle permutation flow shop energy efficiency metaheuristic grey wolf optimizer algorithm |
| title | An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm |
| title_full | An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm |
| title_fullStr | An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm |
| title_full_unstemmed | An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm |
| title_short | An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm |
| title_sort | energy efficient no idle permutations flow shop scheduling problem using grey wolf optimizer algorithm |
| topic | no idle permutation flow shop energy efficiency metaheuristic grey wolf optimizer algorithm |
| url | https://journals.ums.ac.id/index.php/jiti/article/view/17634 |
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