Software Prototype Development for Production Plan Management of an Enterprise Based on a Genetic Algorithm
Year: 2025
Type: article
Abstract: The article discusses the process of developing a software prototype of an information system for production plan management at mechanical engineering enterprises. The main goal of the system is to minimize equipment and warehouse stocks downtime, which is an important factor in a competitive market. To achieve this goal, a genetic algorithm is used, which helps optimize the process of production taskplanning. The genetic algorithm takes into account a wide range of factors, such as the resourcediversity, enterprise financial constraints, including its own funds and the need to attract credit resources to fulfill large orders. This makes the system versatile and flexible depending on the parameters of the enterprise, such as production output, availability of resources and financial capacity. Special attention is paid to the development of the fitness function, which describes the desired result of the system. It includes optimization of resource utilization and minimization of financial costs. The article also describes a system of constraints that takes into account the real situation at the enterprise, including resource reserves, financial and production capacities. The evolutionary mechanism of the genetic algorithm allows the system to select optimal solutions for various production scenarios. The results of the study show that the proposed system is highly flexible and accurate in adapting to various financial and production conditions. During the work on the system, several scenarios were considered that allow to determine how the optimization results change with different initial data. The findings confirm that the use of the developed information system allows to reduce production costs and improve the enterprise efficiency, due to more rational resourceutilization and minimization of equipment downtime.
Source: Intellekt Sist Proizv
Institution: Izhevsk State Technical University
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409176123