MINING EMPLOYEE EFFICIENCY IN MANUFACTURING


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KAHYA ÖZYİRMİDOKUZ E., ÇİFLİKLİ C.

Revista Economica, vol.66, no.2, pp.30-40, 2014 (Peer-Reviewed Journal)

  • Publication Type: Article / Article
  • Volume: 66 Issue: 2
  • Publication Date: 2014
  • Journal Name: Revista Economica
  • Journal Indexes: Other Indexes
  • Page Numbers: pp.30-40
  • Erciyes University Affiliated: Yes

Abstract

Data mining has a significant impact in information management in discovering patterns in order to use the gained knowledge to develop strategies and future plans. Employees are one of the determining factors for the success of a firm in a global economy. We use data mining to discover useful patterns from the employee faults in manufacturing to enhance employee efficiency. Employees can understand the “why” behind their jobs with the help of the generated rules to be successful in the job. The acquired decision tree model is different from existing methods that have problems such as difficulty to understand.