An adaptive scheduling system with genetic algorithms for arranging employee training programs

Ying Shen Juang; Shui Shun Lin; Hsing Pei Kao

doi:10.1016/j.eswa.2006.06.010

An adaptive scheduling system with genetic algorithms for arranging employee training programs

Ying Shen Juang, Shui Shun Lin, Hsing Pei Kao

Graduate Institute of Industrial Management

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

An outstanding human resources system is one of the important competitive factors in modern enterprises. Employee training is a frequently used method for promoting the working capabilities for better human resources. Employee training programs cultivate personnel capabilities for enterprise operation. The training effect can be dramatically enhanced if curriculum is well designed and arranged. However, arranging curriculum is a difficult and lengthy task which enterprises traditionally devote a large amount of human and material resources to. We improved the process by proposing an optimal curriculum arrangement model in maintenance personnel training programs, and utilizing genetic algorithms as solution procedures. An adaptive computer aided training system for maintenance representative training was also developed to facilitate personnel training for machine tool industry.

Original language	English
Pages (from-to)	642-651
Number of pages	10
Journal	Expert Systems with Applications
Volume	33
Issue number	3
DOIs	https://doi.org/10.1016/j.eswa.2006.06.010
State	Published - Oct 2007

Keywords

Computer aided training system
Curriculum scheduling
Genetic algorithms
Optimization models

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10.1016/j.eswa.2006.06.010

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abstract = "An outstanding human resources system is one of the important competitive factors in modern enterprises. Employee training is a frequently used method for promoting the working capabilities for better human resources. Employee training programs cultivate personnel capabilities for enterprise operation. The training effect can be dramatically enhanced if curriculum is well designed and arranged. However, arranging curriculum is a difficult and lengthy task which enterprises traditionally devote a large amount of human and material resources to. We improved the process by proposing an optimal curriculum arrangement model in maintenance personnel training programs, and utilizing genetic algorithms as solution procedures. An adaptive computer aided training system for maintenance representative training was also developed to facilitate personnel training for machine tool industry.",

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author = "Juang, {Ying Shen} and Lin, {Shui Shun} and Kao, {Hsing Pei}",

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AB - An outstanding human resources system is one of the important competitive factors in modern enterprises. Employee training is a frequently used method for promoting the working capabilities for better human resources. Employee training programs cultivate personnel capabilities for enterprise operation. The training effect can be dramatically enhanced if curriculum is well designed and arranged. However, arranging curriculum is a difficult and lengthy task which enterprises traditionally devote a large amount of human and material resources to. We improved the process by proposing an optimal curriculum arrangement model in maintenance personnel training programs, and utilizing genetic algorithms as solution procedures. An adaptive computer aided training system for maintenance representative training was also developed to facilitate personnel training for machine tool industry.

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KW - Genetic algorithms

KW - Optimization models

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An adaptive scheduling system with genetic algorithms for arranging employee training programs

Abstract

Keywords

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