Formulation of problems of combinatorial optimization for solving problems of management and planning of cloud production

TL;DR

This paper explores how combinatorial optimization, specifically mixed integer programming, can be applied to improve planning and management in industries with reconfigurable production resources.

Contribution

It formulates combinatorial optimization problems tailored for cloud production management and demonstrates their solution using mixed integer programming methods.

Findings

Effective modeling of cloud production planning problems.

Successful application of mixed integer programming methods.

Potential for optimizing reconfigurable industrial resources.

Abstract

The application of combinatorial optimization problems to solving the problems of planning processes for industries based on a fund of reconfigurable production resources is considered. The results of their solution by mixed integer programming methods are presented.