4.7 Article

Manufacturing Maps, a Novel Tool for Smart Factory Management Based on Petri Nets and Big Data Mini-Terms

期刊

MATHEMATICS
卷 10, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/math10142398

关键词

manufacturing; Petri nets; big data; Industry 4; 0; smart manufacturing

资金

  1. Valencian Innovation Agency (VIA)-Ministry of Innovation, Universities, Science and Digital Society
  2. European Union through the Operational Program of the European Regional Development Fund (ERDF) of the Valencian Community 2014-2020

向作者/读者索取更多资源

This article introduces a new concept called manufacturing maps for real-time factory management. Manufacturing maps are generated using mini-terms and Petri nets, allowing for production improvement and predictive maintenance. By applying mini-terms and utilizing big data, a complete model of a factory can be created using Petri nets. Manufacturing maps provide a hierarchical construction and enable analysis and simulation, making them a valuable tool for industry applications.
This article defines a new concept for real-time factory management-manufacturing maps. Manufacturing maps are generated from two fundamental elements, mini-terms and Petri nets. Mini-terms are sub-times of a technical cycle, the time it takes for any component to perform its task. A mini-term, by definition, is a sub-cycle time and it would only make sense to use the term in connection with production improvement. Previous studies have shown that when the sub-cycle time worsens, this indicates that something unusual is happening, enabling anticipation of line failures. As a result, a mini-term has dual functionality, since, on the one hand, it is a production parameter and, on the other, it is a sensor used for predictive maintenance. This, combined with how easy and cheap it is to extract relevant data from manufacturing lines, has resulted in the mini-term becoming a new paradigm for predictive maintenance, and, indirectly, for production analysis. Applying this parameter using big data for machines and components can enable the complete modeling of a factory using Petri nets. This article presents manufacturing maps as a hierarchical construction of Petri nets in which the lowest level network is a temporary Petri net based on mini-terms, and in which the highest level is a global view of the entire plant. The user of a manufacturing map can select intermediate levels, such as a specific production line, and perform analysis or simulation using real-time data from the mini-term database. As an example, this paper examines the modeling of the 8XY line, a multi-model welding line at the Ford factory in Almussafes (Valencia), where the lower layers are modeled until the mini-term layer is reached. The results, and a discussion of the possible applications of manufacturing maps in industry, are provided at the end of this article.

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