Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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. стр. 34 (International Conference on Digital Transformation: Informatics, Economics, and Education; № 12637).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
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