Kohonen maps to organize staff recruitment and study of workers' absenteeism

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering 2019, APITECH 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1399/3/033108

Аннотация: As the economy transited to market relations, the problem of organizing personnel policy and staff recruitment becomes more acute. The article discusses the problem of worker absenteeism, as well as the ways to study it, identified on the basis of literature analysis. The paper proposes an approach to use Kohonen self-organizing maПоказать полностьюps to solve the problem. The authors conducted a study of the dependence of the workers' absence duration in the workplace on their various attributes, such as age, distance from residence to work, transportation expenses and others. An open data set of a courier company was used to identify dependencies. As a result, three worker portraits were made and the main reasons for absence of each worker type were identified. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1399, Is. 3

Номера страниц: 33108

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Kukartsev V.V. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Beletskaya O.D. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Fabrichkina M.O. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Telkov A.Y. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Belyaev N.Y. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk, 660037, Russian Federation)
  • Mikhalev A.S. (Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, 660041, Russian Federation)

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