Optimization of Enterprise Production Programs Taking Into Account Uncertainty

被引：0

作者：

Borisov, I. A. ^{[1
]}

Kosorukov, O. A. ^{[2
]}

Mishchenko, A. V. ^{[1
]}

Tsurkov, V. I. ^{[3
]}

机构：

[1] Financial Univ Govt Russian Federat, Moscow 125167, Russia

[2] Plekhanov Russian Econ Univ, Moscow State Univ, Russian Presidential Acad Natl Econ & Publ Adm, Moscow 119991, Russia

[3] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow 119333, Russia

来源：

JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL | 2024年 / 63卷 / 04期

基金：

俄罗斯科学基金会;

关键词：

production program; branch-and-bound method; production expansion; stability analysis; MINIMAX; MODELS;

D O I：

10.1134/S1064230724700485

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The branch-and-bound method used to select the optimal production program is considered, based on the calculation of the upper, lower, and current upper estimates when analyzing various variants for production programs. An upper bound for the number of feasible solutions to the problem under consideration is given. Models for choosing the optimal production program in conditions of production expansion are considered, as well as issues of analyzing the stability of these programs when changing the initial data of the model and when changing the criterion for the optimality of the model. The use of models for selecting the optimal production program within the framework of project management at enterprises will ensure increased efficiency of activities, including at the stages of planning and implementation of projects, as well as classification and selection of a method for implementing projects.

引用

页码：663 / 678

页数：16

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