Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

The Ant Colony Method to Support Decision-Making on the Appointment of Employees

Authors
V.A. Sudakov, Yu.P. Titov
Corresponding Author
V.A. Sudakov
Available Online 10 November 2020.
DOI
10.2991/aisr.k.201029.070How to use a DOI?
Keywords
Fuzzy sets, assignment problem, ant colony method, work time
Abstract

Modern planning tools for the development and production process operate with schedules. The main disadvantage of scheduling is the difficulty in determining when to complete a task. The paper considers an approach that makes it possible to estimate the execution time of a task in the form of a fuzzy function, using the estimated representation of employees as input data. The procedure for calculating the time of a task is described, provided that several employees are assigned to it and the time required for their interaction is taken into account. The arising problem of the rational appointment of employees is proposed to be solved using a modification of the ant colony method

Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
Series
Advances in Intelligent Systems Research
Publication Date
10 November 2020
ISBN
10.2991/aisr.k.201029.070
ISSN
1951-6851
DOI
10.2991/aisr.k.201029.070How to use a DOI?
Copyright
© 2020, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - V.A. Sudakov
AU  - Yu.P. Titov
PY  - 2020
DA  - 2020/11/10
TI  - The Ant Colony Method to Support Decision-Making on the Appointment of Employees
BT  - Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
PB  - Atlantis Press
SP  - 375
EP  - 380
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.201029.070
DO  - 10.2991/aisr.k.201029.070
ID  - Sudakov2020
ER  -