Main internal HR risks as determined by JSC 'Russian Railways' are risks connected with the training level of its staff. Technical learning is a tool to sustain a high knowledge level of the employees and to assess their knowledge level. Presently, the emphasis is on modern information technologies, namely the e-learning system. Using these systems broadens opportunities to analyze employees learning results and allows real-time recording of potential deficiencies in the training level. However, due to a large number of personnel undergoing trainings, there is a necessity to develop methods for automated evaluation of the obtained results that will assist in managerial decisions. This work suggests a clusterization of the technical study outcome for automatization and also provides the necessary metrics for solving the problem.

Original languageEnglish
Title of host publication2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013227
DOIs
StatePublished - 1 Jan 2016
Event2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016 - Chelyabinsk, Russian Federation
Duration: 19 May 201620 May 2016

Conference

Conference2nd International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2016
Country/TerritoryRussian Federation
CityChelyabinsk
Period19/05/1620/05/16

    Research areas

  • Centroid Method, cluster analysis, Data Mining, E-Learning, technical education, testing results

    Scopus subject areas

  • Modelling and Simulation
  • Industrial and Manufacturing Engineering
  • Control and Optimization

ID: 36836359