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Development of an algorithm for the distribution of applications for the digital transformation of the service business. / Sargsian, A. G. ; Egorova, I. E. .

International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023): Proceedings . SPIE, 2023. p. 34 (International Conference on Digital Transformation: Informatics, Economics, and Education; No. 12637).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Sargsian, AG & Egorova, IE 2023, Development of an algorithm for the distribution of applications for the digital transformation of the service business. in International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023): Proceedings . International Conference on Digital Transformation: Informatics, Economics, and Education, no. 12637, SPIE, pp. 34, International Conference on Digital Transformation: Informatics, Economics, and Education , Fergana, Uzbekistan, 20/03/23. https://doi.org/10.1117/12.2680871

APA

Sargsian, A. G., & Egorova, I. E. (2023). Development of an algorithm for the distribution of applications for the digital transformation of the service business. In International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023): Proceedings (pp. 34). (International Conference on Digital Transformation: Informatics, Economics, and Education; No. 12637). SPIE. https://doi.org/10.1117/12.2680871

Vancouver

Sargsian AG, Egorova IE. Development of an algorithm for the distribution of applications for the digital transformation of the service business. In International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023): Proceedings . SPIE. 2023. p. 34. (International Conference on Digital Transformation: Informatics, Economics, and Education; 12637). https://doi.org/10.1117/12.2680871

Author

Sargsian, A. G. ; Egorova, I. E. . / Development of an algorithm for the distribution of applications for the digital transformation of the service business. International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023): Proceedings . SPIE, 2023. pp. 34 (International Conference on Digital Transformation: Informatics, Economics, and Education; 12637).

BibTeX

@inproceedings{b07ec7f2eea64969af4018f788b3b0ef,
title = "Development of an algorithm for the distribution of applications for the digital transformation of the service business",
abstract = "The article deals with one of the most important processes in the service business - the task of distributing applications among service specialists, taking into account a large number of requirements, which are often difficult to formalize. The scheme of the algorithm operation is presented, formalized descriptions of the initial data, internal variables of the algorithm are given, the constraints of the problem are presented, the objective function and operators of the genetic algorithm are determined. The developed algorithm will optimize the business process of distributing applications, which will help achieve the strategic goals of the business.",
author = "Sargsian, {A. G.} and Egorova, {I. E.}",
year = "2023",
month = apr,
day = "27",
doi = "10.1117/12.2680871",
language = "English",
isbn = "9781510664845",
series = "International Conference on Digital Transformation: Informatics, Economics, and Education",
publisher = "SPIE",
number = "12637",
pages = "34",
booktitle = "International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)",
address = "United States",
note = "International Conference on Digital Transformation: Informatics, Economics, and Education , DTIEE2023 ; Conference date: 20-03-2023 Through 22-03-2023",

}

RIS

TY - GEN

T1 - Development of an algorithm for the distribution of applications for the digital transformation of the service business

AU - Sargsian, A. G.

AU - Egorova, I. E.

PY - 2023/4/27

Y1 - 2023/4/27

N2 - The article deals with one of the most important processes in the service business - the task of distributing applications among service specialists, taking into account a large number of requirements, which are often difficult to formalize. The scheme of the algorithm operation is presented, formalized descriptions of the initial data, internal variables of the algorithm are given, the constraints of the problem are presented, the objective function and operators of the genetic algorithm are determined. The developed algorithm will optimize the business process of distributing applications, which will help achieve the strategic goals of the business.

AB - The article deals with one of the most important processes in the service business - the task of distributing applications among service specialists, taking into account a large number of requirements, which are often difficult to formalize. The scheme of the algorithm operation is presented, formalized descriptions of the initial data, internal variables of the algorithm are given, the constraints of the problem are presented, the objective function and operators of the genetic algorithm are determined. The developed algorithm will optimize the business process of distributing applications, which will help achieve the strategic goals of the business.

UR - https://www.mendeley.com/catalogue/dabd9df7-8608-34fb-a631-293bab26798f/

U2 - 10.1117/12.2680871

DO - 10.1117/12.2680871

M3 - Conference contribution

SN - 9781510664845

T3 - International Conference on Digital Transformation: Informatics, Economics, and Education

SP - 34

BT - International Conference on Digital Transformation: Informatics, Economics, and Education (DTIEE2023)

PB - SPIE

T2 - International Conference on Digital Transformation: Informatics, Economics, and Education

Y2 - 20 March 2023 through 22 March 2023

ER -

ID: 105104051