Work planning with subcontracting enterprises by means of fuzzy programming

Authors

  • A. G. Kiriyevskaya Kalashnikov Izhevsk State Technical University
  • V. A. Tenenev Kalashnikov Izhevsk State Technical University
  • D. S. Shaura JSC “Izhevsky radiozavod”

Keywords:

optimal planning, dynamic programming, genetic algorithm, fuzzy programming

Abstract

In paper we formulated a problem of optimal use of own and outside labor-power for loss minimization under uncertainty. Fuzzy programming problem was solved using a hybrid genetic algorithm. The results of calculations are analyzed.

Author Biographies

A. G. Kiriyevskaya, Kalashnikov Izhevsk State Technical University

Master’s degree student

V. A. Tenenev, Kalashnikov Izhevsk State Technical University

DSc (Physics and Mathematics), Professor

D. S. Shaura, JSC “Izhevsky radiozavod”

Software Engineer

References

Зайченко Ю. П. Исследование операций : учеб. для студентов вузов, обучающихся по специальностям «Автоматизированные системы управления» и «Прикладная математика». - 3-е изд., перераб. и доп. - Киев : Вища шк., 1988. - 552 с.

Тененев В. А., Якимович Б. А. Генетические алгоритмы в моделировании систем. - Ижевск : Изд-во ИжГТУ, 2010. - 308 с.

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Published

15.03.2014

How to Cite

Kiriyevskaya А. Г., Tenenev В. А., & Shaura Д. С. (2014). Work planning with subcontracting enterprises by means of fuzzy programming. Intellekt. Sist. Proizv., (1), 16–19. Retrieved from https://izdat.istu.ru/index.php/ISM/article/view/1514

Issue

No. 1 (2014)

Section

Articles