Application of Digital Technologies for Solving Optimization Tasks
- DOI
- 10.2991/aebmr.k.201205.043How to use a DOI?
- Keywords
- digital technology, system, information, planning, management, technology, programming, optimization, transport, logistics
- Abstract
The article discusses the issues of digital technology of optimization calculations in real time. Working on a real-time scale allows the user to start calculations at any point in time convenient for him, to continue their required amount of time until they get a completely satisfactory result or to interrupt them at any time at their discretion. A simple dialogue language with computer technology allows you to perform calculations directly from the specialist’s workplace in the area under consideration. The value of the work is to develop an economic-mathematical model of the optimization problem under consideration and a specialized dialogue complex for solving various optimization calculations. Digital (interactive) technology of optimization calculations, implemented on the basis of standard software tools, can be applied to a wide class of tasks of optimizing the transport and logistics systems of grain processing enterprises in real time during the planning process. Thus, in order for the solution of the optimization problem to become a management tool based on computer technology with the crowding out of existing manual calculations, it is also necessary that it be used in real time in combination with dialogue support tools.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - A.A. Eleusov AU - A.D. Saparbayev AU - A.T. Makulova PY - 2020 DA - 2020/12/07 TI - Application of Digital Technologies for Solving Optimization Tasks BT - Proceedings of the 2nd International Scientific and Practical Conference on Digital Economy (ISCDE 2020) PB - Atlantis Press SP - 257 EP - 264 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.201205.043 DO - 10.2991/aebmr.k.201205.043 ID - Eleusov2020 ER -