BULLETIN OF MAEBASHI INSTITUTE OF TECHNOLOGY
Online ISSN : 2433-5673
Print ISSN : 1343-8867
SPWA with the Class-type Skill by Genetic Algorithm
Kenichi Ida
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RESEARCH REPORT / TECHNICAL REPORT OPEN ACCESS

2017 Volume 20 Pages 15-18

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Abstract
In the actual production site, a plurality of worker who operates the machine exists, depending on the skill level by the workers for each machine, working time is different even if the same work on the same machine. Therefore, it is proposed to account for differences in working time by the worker is Scheduling Problem with Worker Allocation (SPWA). In this paper, in order to approach the more realistic model by dividing into several class workers, to determine the skill level for each machine for each class workers, we propose a new model that introduced the concept of class-type skill, demonstrate the effectiveness the computational result by GA algorithm.
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© 2017 MAEBASHI INSTITUTE OF TECHNOLOGY
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