Methods of data analysis in the problem of optimizing the rental schedule
In this paper, the main problems of scheduling screenings for a cinema were considered. The activity of one cinema “X” is described and the restrictions that must be observed and taken into account when planning the schedule of sessions are analyzed. The solution to this problem is due to the comple...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
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Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/26/e3sconf_uesf2023_06030.pdf |
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author | Asnina Natalia Fateeva Irina Yakovenko Nikita Stativa Ekaterina |
author_facet | Asnina Natalia Fateeva Irina Yakovenko Nikita Stativa Ekaterina |
author_sort | Asnina Natalia |
collection | DOAJ |
description | In this paper, the main problems of scheduling screenings for a cinema were considered. The activity of one cinema “X” is described and the restrictions that must be observed and taken into account when planning the schedule of sessions are analyzed. The solution to this problem is due to the complexity and time-consuming planning of the cinema schedule. To achieve this goal, the article analyzes the statistical data obtained in the cinema “X”. An analysis was carried out using the methods of statistical data analysis and predictive factors of movie attendance were identified, regression models of attendance were developed. Based on the developed regression models, statistical estimates of attendance predictive factors were obtained. Taking into account the results obtained, an optimization mathematical model for the formation of a rental schedule has been developed, which makes it possible to increase the box office of a cinema. |
first_indexed | 2024-03-13T06:29:55Z |
format | Article |
id | doaj.art-67c7151a7301438082ffd672fb25844f |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-13T06:29:55Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-67c7151a7301438082ffd672fb25844f2023-06-09T09:09:36ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013890603010.1051/e3sconf/202338906030e3sconf_uesf2023_06030Methods of data analysis in the problem of optimizing the rental scheduleAsnina Natalia0Fateeva Irina1Yakovenko Nikita2Stativa Ekaterina3Voronezh State Technical UniversityVoronezh State Technical UniversityVoronezh State Technical UniversityMoscow State University of Civil EngineeringIn this paper, the main problems of scheduling screenings for a cinema were considered. The activity of one cinema “X” is described and the restrictions that must be observed and taken into account when planning the schedule of sessions are analyzed. The solution to this problem is due to the complexity and time-consuming planning of the cinema schedule. To achieve this goal, the article analyzes the statistical data obtained in the cinema “X”. An analysis was carried out using the methods of statistical data analysis and predictive factors of movie attendance were identified, regression models of attendance were developed. Based on the developed regression models, statistical estimates of attendance predictive factors were obtained. Taking into account the results obtained, an optimization mathematical model for the formation of a rental schedule has been developed, which makes it possible to increase the box office of a cinema.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/26/e3sconf_uesf2023_06030.pdfprognostic factorsregression modelsstatistical estimatesoptimization mathematical modelcinematimetable |
spellingShingle | Asnina Natalia Fateeva Irina Yakovenko Nikita Stativa Ekaterina Methods of data analysis in the problem of optimizing the rental schedule E3S Web of Conferences prognostic factors regression models statistical estimates optimization mathematical model cinema timetable |
title | Methods of data analysis in the problem of optimizing the rental schedule |
title_full | Methods of data analysis in the problem of optimizing the rental schedule |
title_fullStr | Methods of data analysis in the problem of optimizing the rental schedule |
title_full_unstemmed | Methods of data analysis in the problem of optimizing the rental schedule |
title_short | Methods of data analysis in the problem of optimizing the rental schedule |
title_sort | methods of data analysis in the problem of optimizing the rental schedule |
topic | prognostic factors regression models statistical estimates optimization mathematical model cinema timetable |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/26/e3sconf_uesf2023_06030.pdf |
work_keys_str_mv | AT asninanatalia methodsofdataanalysisintheproblemofoptimizingtherentalschedule AT fateevairina methodsofdataanalysisintheproblemofoptimizingtherentalschedule AT yakovenkonikita methodsofdataanalysisintheproblemofoptimizingtherentalschedule AT stativaekaterina methodsofdataanalysisintheproblemofoptimizingtherentalschedule |