A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm
Job rotation is a known method that is often used to reduce monotonous workloads on workers with repetitive workstation-based jobs. Changes in a worker’s body posture can contribute to reduce the monotony; particularly, while there exists none or only minimal external force exertion. The purpose of...
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Journal of Computing
2011
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Online Access: | http://eprints.utm.my/id/eprint/37546/ https://sites.google.com/site/journalofcomputing/volume-3-issue-5-may-2011 |
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my.utm.375462019-03-17T04:02:16Z http://eprints.utm.my/id/eprint/37546/ A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm Cheshmehgaz, Hossein Rajabalipour Haron, Habibollah QA75 Electronic computers. Computer science Job rotation is a known method that is often used to reduce monotonous workloads on workers with repetitive workstation-based jobs. Changes in a worker’s body posture can contribute to reduce the monotony; particularly, while there exists none or only minimal external force exertion. The purpose of this research is to develop a method to incorporate posture variety, individually, for each particular body area, into the rotation. This method can increase the possibility of having overall posture variety during work-hours or shift-by-shift for workers. To this end, fuzzy dissimilarity magnitudes between two jobs based on linguistic variables are defined and then used to propose new criteria. According to the criteria, an integerprogramming model for the rotation is developed. Owing to the large search space in which to find a very good solution (approximated optimum solution), a conventional genetic algorithm and a customized cellular genetic algorithm are employed and compared. In addition to being intuitively logical, the algorithms are examined in a simplified test case with six different assembly jobs (performing assigned tasks repetitively), and the results indicate that the cellular genetic algorithm can efficiently find better job rotation schedules to satisfy the criteria. Journal of Computing 2011 Article PeerReviewed Cheshmehgaz, Hossein Rajabalipour and Haron, Habibollah (2011) A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm. Journal of Computing, 3 (5). pp. 67-75. ISSN 2151-9617 https://sites.google.com/site/journalofcomputing/volume-3-issue-5-may-2011 |
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QA75 Electronic computers. Computer science Cheshmehgaz, Hossein Rajabalipour Haron, Habibollah A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
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Job rotation is a known method that is often used to reduce monotonous workloads on workers with repetitive workstation-based jobs. Changes in a worker’s body posture can contribute to reduce the monotony; particularly, while there exists none or only minimal external force exertion. The purpose of this research is to develop a method to incorporate posture variety, individually, for each particular body area, into the rotation. This method can increase the possibility of having overall posture variety during work-hours or shift-by-shift for workers. To this end, fuzzy dissimilarity magnitudes between two jobs based on linguistic variables are defined and then used to propose new criteria. According to the criteria, an integerprogramming model for the rotation is developed. Owing to the large search space in which to find a very good solution (approximated optimum solution), a conventional genetic algorithm and a customized cellular genetic algorithm are employed and compared. In addition to being intuitively logical, the algorithms are examined in a simplified test case with six different assembly jobs (performing assigned tasks repetitively), and the results indicate that the cellular genetic algorithm can efficiently find better job rotation schedules to satisfy the criteria. |
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Cheshmehgaz, Hossein Rajabalipour Haron, Habibollah |
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Cheshmehgaz, Hossein Rajabalipour Haron, Habibollah |
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Cheshmehgaz, Hossein Rajabalipour |
title |
A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
title_short |
A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
title_full |
A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
title_fullStr |
A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
title_full_unstemmed |
A novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
title_sort |
novel job rotation schedule model for repetitive jobs regarding posture variety during work hours and solving with a genetic algorithm |
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Journal of Computing |
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2011 |
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http://eprints.utm.my/id/eprint/37546/ https://sites.google.com/site/journalofcomputing/volume-3-issue-5-may-2011 |
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13.211869 |