Um sistema inteligente para a priorização de atividades de manutenção industrial

Abstract

The industrial maintenance area is fundamental for the full functioning of an industry, as it supports all production activities and guarantees, in addition to operational productivity, the quality of products and the safety of all those involved in this process. However, the resources destined for this area are limited, thus needing to go through a prioritization stage for their correct destination, this being a process usually carried out manually that often fails to meet the various requirements and ensure that the resources destined to the maintenance are used in high-impact maintenance. Based on this problem, this study intends to present an approach to prioritizing maintenance orders, using a genetic algorithm, with the objective of providing a set of orders that will generate greater impact on the production processes of an industry, through more assertive maintenance. The experiments demonstrated the effectiveness of the solution, generating positive results and enabling the continuity of works involving the industrial maintenance area and the software engineering area.