Avaliação de Disponibilidade e Confiabilidade de uma Manufatura Têxtil 4.0 Utilizando Modelos Estocásticos

Abstract

The Brazilian apparel industry ranks 7th globally, generating a revenue of USD 10 billion per year. Despite the increasing adoption of Internet of Things (IoT) devices in so-called “Industry 4.0” manufacturing, accurately estimating crucial indicators such as availability and operational reliability of resources in local garment manufacturing hubs still poses a major challenge. This assessment can help companies identify areas for improvement and make more informed decisions, resulting in greater competitiveness in the global market. This study proposes an approach based on stochastic Petri nets to model and analyze the failure and repair process of the production process in a 4.0 textile industry from a company in the garment manufacturing hub of Agreste de Pernambuco. The results indicate that the arrangement with redundancies can reduce the failure rate by more than 60%, can increase the reliability index by more than 50%, and can increase operational availability by 45.36 hours per year compared to the arrangement without resource redundancy. For this reason, the proposed approach has the potential to assist managers of manufacturing operations in improving the availability and reliability of resources in balance with productive capacity.