The Proceedings of Manufacturing Systems Division Conference
Online ISSN : 2424-3108
2008
Session ID : 2203
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2203 Dynamic Work Planning in Consideration of Worker's Skill and Training : Work Dispatching by Using Machine Learning
Takeshi TATEYAMAToshitake TATENOKeiko SHIMIZU
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Abstract
This paper deals with a scheduling method of manual work in consideration of On-the-Job Training (OJT). As of skillful works such as maintenance works of trains and airplanes, workers have to learn many kinds of works with OJT. While processing time of novice workers is longer than that of experts, the time will be reduced with repeating OJT. Therefore, OJT is important to keep skill level and long-term work efficiency of the organization. It is very difficult to balance between working efficiency and OJT. In this paper, the authors propose to optimize the work dispatching rule by using genetic algorithm(GA) in order to achieve a balance between the two factors.
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© 2008 The Japan Society of Mechanical Engineers
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