Algorithm for Scheduling Construction and Installation Work Using Bulk Construction

Smolyaninov, Andrey; Deniskina, Antonina; Mikhailovskaya, Natalia; Malyutina, Olga

doi:10.1007/978-3-030-80946-1_92

Search citation statements

Order By: Relevance

Paper Sections

Select...

Other1

Model and Methods1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Article3

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average values of these estimates are given in Table . 1 for the case of four and five criteria with three and four gradations according to their scales and two, three and four classes of solutions [13]. The given data show that the proposed procedure requires the presentation of no more than 2.8 times more vector estimates than the reference algorithm.…”

Section: Determination Of a mentioning

confidence: 86%

Industry 4.0. Technique for ranking vector estimates when choosing business partners

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Determination Of a mentioning

confidence: 86%

Industry 4.0. Technique for ranking vector estimates when choosing business partners

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The day of the week factor is fixed with . The variable reflects the effect of time of day [6]. Since moviegoers tend to have more free time for leisure activities, such as going to the cinema during holidays or school holidays, we expect all of these parameters to be positive.…”

Section: Model and Methodsmentioning

confidence: 99%

Methods of data analysis in the problem of optimizing the rental schedule

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

A Semantic Network for Risk-Sensitive Management Decisions

Ermolaeva

Kadykova²

2022

Russ. Engin. Res.

View full text Add to dashboard Cite

Algorithm for Scheduling Construction and Installation Work Using Bulk Construction

Cited by 3 publications

References 18 publications

Industry 4.0. Technique for ranking vector estimates when choosing business partners

Industry 4.0. Technique for ranking vector estimates when choosing business partners

Methods of data analysis in the problem of optimizing the rental schedule

A Semantic Network for Risk-Sensitive Management Decisions

Contact Info

Product

Resources

About