Performance Evaluation and Operational Availability of a Textile Manufacturing 4.0 Using Stochastic Petri Nets

The Brazilian clothing industry is the 7th largest globally, generating an annual revenue of USD 10 billion. However, Brazil is only 54th in industrial innovation investments. The constraint on industrial innovation investments represents a challenge for the implementation of Industry 4.0, especially in local garment manufacturing hubs. It is crucial to assess the impact of Industry 4.0 in these hubs in order to highlight its benefits. The study proposes the development of an approach based on Stochastic Petri Nets to model production processes in the textile industry, applied to a company in the garment manufacturing hub of the Agreste region of Pernambuco. The results demonstrate that this approach has the potential to assist garment administrators in optimizing production processes and making more informed decisions. Additionally, the approach allows administrators to maintain resources balanced, efficient, and available in accordance with the production goals of the modern market.

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Publication Details

Journal
Revista de Informática Teórica e Aplicada
Published
2024-09-04
DOI
https://doi.org/10.22456/2175-2745.135781
Citations
1
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.53
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article

Performance Evaluation and Operational Availability of a Textile Manufacturing 4.0 Using Stochastic Petri Nets

Danilo Araújo, Ermeson Andrade, Edson Moura Silva
1 citations
Revista de Informática Teórica e Aplicada
Quality and Supply Management
0.53
article

Performance Evaluation and Operational Availability of a Textile Manufacturing 4.0 Using Stochastic Petri Nets

Danilo Araújo, Ermeson Andrade, Edson Moura Silva
article en
1 citations

Abstract

The Brazilian clothing industry is the 7th largest globally, generating an annual revenue of USD 10 billion. However, Brazil is only 54th in industrial innovation investments. The constraint on industrial innovation investments represents a challenge for the implementation of Industry 4.0, especially in local garment manufacturing hubs. It is crucial to assess the impact of Industry 4.0 in these hubs in order to highlight its benefits. The study proposes the development of an approach based on Stochastic Petri Nets to model production processes in the textile industry, applied to a company in the garment manufacturing hub of the Agreste region of Pernambuco. The results demonstrate that this approach has the potential to assist garment administrators in optimizing production processes and making more informed decisions. Additionally, the approach allows administrators to maintain resources balanced, efficient, and available in accordance with the production goals of the modern market.

Revista de Informática Teórica e AplicadaVol. 31(2)
Universidade Federal Rural de Pernambuco (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Quality and Supply Management
0.53
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