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

Ying Shen Juang, Shui Shun Lin, Hsing Pei Kao

Research output: Contribution to journalArticlepeer-review

30 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 languageEnglish
Pages (from-to)642-651
Number of pages10
JournalExpert Systems with Applications
Volume33
Issue number3
DOIs
StatePublished - Oct 2007

Keywords

  • Computer aided training system
  • Curriculum scheduling
  • Genetic algorithms
  • Optimization models

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