Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training
High-skill tasks such as aircraft maintenance procedures generally require considerable on-the-job training (OJT). Because OJT requires a considerable amount of time, long-term scheduling of OJT by considering both working efficiency and skill development is required. The authors have proposed educa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Japan Society of Mechanical Engineers
2010-06-01
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| Series: | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| Subjects: | |
| Online Access: | https://www.jstage.jst.go.jp/article/jamdsm/4/3/4_3_597/_pdf/-char/en |
| _version_ | 1818107908563402752 |
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| author | Takeshi TATEYAMA Toshitake TATENO Keiko SHIMIZU |
| author_facet | Takeshi TATEYAMA Toshitake TATENO Keiko SHIMIZU |
| author_sort | Takeshi TATEYAMA |
| collection | DOAJ |
| description | High-skill tasks such as aircraft maintenance procedures generally require considerable on-the-job training (OJT). Because OJT requires a considerable amount of time, long-term scheduling of OJT by considering both working efficiency and skill development is required. The authors have proposed education coefficient (EC) as a parameter that adjusts the frequency of OJT and have proposed a scheduling support system for long-term scheduling of OJT considering working efficiency and skill education. Users of the proposed scheduling support system can easily adjust the balance between working efficiency and skill education by changing EC. However, it is difficult for them to find effective values of EC that realize a good balance between working efficiency and skill education to maintain a certain number of skilled workers. In this paper, we propose a simulation-based scheduling optimization system using a simple genetic algorithm (GA). The purpose of this study is to adjust the value of EC automatically by considering the balance between working efficiency and skill education and to find effective rules for adjusting the value of EC. The experimental results show that the proposed system computes solutions that are better than those computed by using a constant EC. |
| first_indexed | 2024-12-11T02:06:56Z |
| format | Article |
| id | doaj.art-e3aa66609d7e4c3ab23048f90216098e |
| institution | Directory Open Access Journal |
| issn | 1881-3054 |
| language | English |
| last_indexed | 2024-12-11T02:06:56Z |
| publishDate | 2010-06-01 |
| publisher | The Japan Society of Mechanical Engineers |
| record_format | Article |
| series | Journal of Advanced Mechanical Design, Systems, and Manufacturing |
| spelling | doaj.art-e3aa66609d7e4c3ab23048f90216098e2022-12-22T01:24:22ZengThe Japan Society of Mechanical EngineersJournal of Advanced Mechanical Design, Systems, and Manufacturing1881-30542010-06-014359760410.1299/jamdsm.4.597jamdsmDynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and TrainingTakeshi TATEYAMA0Toshitake TATENO1Keiko SHIMIZU2Tokyo Metropolitan UniversityAdvanced Institute of Industrial TechnologyEast Japan Railway CompanyHigh-skill tasks such as aircraft maintenance procedures generally require considerable on-the-job training (OJT). Because OJT requires a considerable amount of time, long-term scheduling of OJT by considering both working efficiency and skill development is required. The authors have proposed education coefficient (EC) as a parameter that adjusts the frequency of OJT and have proposed a scheduling support system for long-term scheduling of OJT considering working efficiency and skill education. Users of the proposed scheduling support system can easily adjust the balance between working efficiency and skill education by changing EC. However, it is difficult for them to find effective values of EC that realize a good balance between working efficiency and skill education to maintain a certain number of skilled workers. In this paper, we propose a simulation-based scheduling optimization system using a simple genetic algorithm (GA). The purpose of this study is to adjust the value of EC automatically by considering the balance between working efficiency and skill education and to find effective rules for adjusting the value of EC. The experimental results show that the proposed system computes solutions that are better than those computed by using a constant EC.https://www.jstage.jst.go.jp/article/jamdsm/4/3/4_3_597/_pdf/-char/enschedulingon the job training (ojt)dynamic work planningsimulationgenetic algorithm (ga) |
| spellingShingle | Takeshi TATEYAMA Toshitake TATENO Keiko SHIMIZU Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training Journal of Advanced Mechanical Design, Systems, and Manufacturing scheduling on the job training (ojt) dynamic work planning simulation genetic algorithm (ga) |
| title | Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training |
| title_full | Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training |
| title_fullStr | Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training |
| title_full_unstemmed | Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training |
| title_short | Dynamic Work Planning by Using Simulation-based Optimization in Consideration of Workers’ Skill and Training |
| title_sort | dynamic work planning by using simulation based optimization in consideration of workers rsquo skill and training |
| topic | scheduling on the job training (ojt) dynamic work planning simulation genetic algorithm (ga) |
| url | https://www.jstage.jst.go.jp/article/jamdsm/4/3/4_3_597/_pdf/-char/en |
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