Justification of the Use of Mathematical Analogues in the Construction of an Optimization Model of the Company’s Functioning, Taking into Account Its Economic Security

Korolev, M. I.; Lapshin, D. D.; Lapshina, M. L.; Khorev, A. I.; Lukina, O. O.

doi:10.1007/978-3-031-30926-7_3

Lecture Notes in Networks and Systems

2023

DOI: 10.1007/978-3-031-30926-7_3

|View full text |Cite

Justification of the Use of Mathematical Analogues in the Construction of an Optimization Model of the Company’s Functioning, Taking into Account Its Economic Security

M. I. Korolev¹,

D. D. Lapshin²,

M. L. Lapshina

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Construction of a project risk assessment model based on a probabilistic simulation approach

Khorev,

Lapshina,

Belyaeva

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

Manifestations of risk in the economic sphere of human activity have entailed numerous definitions and interpretations, a significant part of which are associated with two statements: a) risk is caused by random events outside the sphere of influence of the risk subject;b) the economic consequences of these events are undesirable or unacceptable for him.An ambiguous interpretation of the original concept leads to an incorrect formulation of the problem of formalizing the process of optimizing investment projects.The paper provides an analysis of the possibility of resolving the problem using a simulation-probabilistic approach.

show abstract

Construction of a project risk assessment model based on a probabilistic simulation approach

Khorev,

Lapshina,

Belyaeva

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

The task of assignments in project management

Bugaev,

Korobova Lyudmila,

Chikunov

et al. 2023

Modeling of Systems and Processes

View full text Add to dashboard Cite

When describing projects and tasks, consisting of a set of sequential and interconnected operations, dynamic models are used. A network diagram is used to visually represent the structure of the projects under consideration and the interaction of work during the project. The network diagram is represented as a graph. The components of the graph are interpreted in two ways. If the vertices are events, and the arcs between them are the duration of their occurrence, in this case the problem of project management is considered. If the vertex is the work, and the arcs are the time of their execution, then the problem of finding the optimal (or critical) path is solved. In both variants of the tasks under consideration, it is important to allocate resources or performers to commit events or perform tasks. The optimality criterion for such a formulation of tasks will be an expression for calculating the total time for the execution of work. As restrictions, expressions will be used that determine the individuality of the choice of work and the assignment of performers to them, as well as the expression on the target dates for the implementation of the project in full. The total time for the execution of work and compliance with the deadlines for the implementation of the project can be considered as two main criteria for project management. This article attempts to improve the algorithm for solving the project management problem by introducing a more flexible system of weights.

show abstract

Mathematical support for information and control system for storing products with limited storage life

Arapov,

Yudina,

Kuritsyn

et al. 2024

Modeling of Systems and Processes

View full text Add to dashboard Cite

The work presents a solution to the problem of developing mathematical support for an information and control system for storing products with a limited shelf life using the example of storing sugar beets in field conditions and in heaps at sugar factories based on experimental experiments published in the open press data. An end-to-end ranking of methods for storing root crops was carried out, starting with a root lying separately on the field (rank 0.1 points), from simple windrows and heaps (rank 0.2 points) to specialized root storage and ventilated piles covered with special bactericidal coatings with reflective and protective properties (rank 4 points). An end-to-end ranking of mechanical damage to sugar beet roots has been implemented, starting from 1 point (the root crop is practically undamaged) to 0.1 point (fragments and tails). The studied hybrids were ranked according to sugar content. Based on the rankings, taking into ac-count storage time and temperature, mathematical models (mm) of the dependence of technological indica-tors of beet raw materials, including losses of beet mass and sucrose, on storage parameters were built for each study. Extensive computational experiments were per-formed using an interactive identification and optimization system (isio), which is based on a genetic algorithm and the Hooke Jeeves nonlinear programming method. The errors of the developed models do not exceed the errors of the experimental data used to construct them.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Justification of the Use of Mathematical Analogues in the Construction of an Optimization Model of the Company’s Functioning, Taking into Account Its Economic Security

Cited by 3 publications

References 2 publications

Construction of a project risk assessment model based on a probabilistic simulation approach

Construction of a project risk assessment model based on a probabilistic simulation approach

The task of assignments in project management

Mathematical support for information and control system for storing products with limited storage life

Contact Info

Product

Resources

About