Implementation of fuzzy system using hierarchical Colored Petri Nets to model flexible manufacturing cell

Saren, Sanjib Kumar; Blaga, Florin; Vesselényi, Tiberiu

doi:10.1088/1757-899x/400/4/042050

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…The GRAFCET is a model of graphic representation of the successive behaviors of a logic system, predefined by its inputs and outputs, and is the basis of the programming of PLCs. In recent years, there has been progress in the development of different variants of Petri net networks, such as fuzzy Petri nets to model systems with uncertainty (see [24]), colored Petri nets to model processes with different products [25], a combination of both, colored fuzzy Petri nets [26] and time-based, timed colored Petri nets (see [25]).…”

Section: Previous Consideration Of Petri Netsmentioning

confidence: 99%

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

Llopis¹,

Lacasa²,

García³

et al. 2022

Mathematics

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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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Section: Previous Consideration Of Petri Netsmentioning

confidence: 99%

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

Llopis¹,

Lacasa²,

García³

et al. 2022

Mathematics

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“…This CPN model combined elements from a series of strategies on cloud systems and resource allocation, which we developed [9][10][11][12][13]. Other fields of PN and CPN applications are mentioned below: parallel processing [14], grid computing applications [15,16], traffic control [17], analysis of safety-critical interactive Systems [18], manufacturing [19], everyday applications [20], supply chain management [21], medicine [22], industry [23], project management [24], fuzzy systems [25], and communication protocols [26,27].…”

Section: Related Workmentioning

confidence: 99%

A Novel Method for General Hierarchical System Modeling via Colored Petri Nets Based on Transition Extractions from Real Datasets

2022

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The Colored Petri net (CPN) has evolved into a complete modeling language, which is based on the object-oriented paradigm. Although this language is quite complete and can be used to accurately model a wide variety of systems, it seems that there is a lack of certain modeling rules, which can be used to generate models based on real datasets. This paper is a first attempt to incorporate sequences of real system events and translate them into sequences of Petri net transitions. Then, well-defined modeling rules control the model generation based on these transitions. The specific entities that take part in each of the real system events, as well as their attributes are also considered. The models produced using real data are structured because, in the majority of real systems, each incurring event usually affects a part of the system. Then, this effect is propagated to the entire system. Therefore, it is much easier to divide the entire model into distinct parts when real data are used and then interconnect these parts to build an entire model. This is a very important aspect when modeling very large systems. To test our approach, we used the real data from a courier company to generate its model. Our simulation results have shown that we managed to obtain quite accurate results through the model produced by the actual data.

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“…The simulation is made for both normal operating conditions and disturbances, such as canceled orders and canceled deliveries. There is a concern to develop models with Petri nets in which to find the techniques specific to fuzzy sets [8]. Also, hierarchical coloured Petri nets models are developed to assess the performance of flexible manufacturing systems [9,10].…”

Section: Introductionmentioning

confidence: 99%

Automated Manufacturing Systems, Modelled by Means of Coloured Petri Nets With Complex Colours and Functions

Pop¹,

Blaga²,

Ursu³

et al. 2022

IJMMT

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The automated manufacturing systems are frequent within the modern manufacturing systems. This paper shows how the coloured Petri nets are used to assess a robotic manufacturing system, considering several versions of it. The system is made of three machines, and the workpieces are moved through the system by means of a conveyer-type transferring device. Three typed of workpieces are manufactured in this system. the modelling and simulation are made by means of coloured Petri nets. Within the first version, each workpiece type is manufactured on one machine. The loading and evacuation of the workpieces is made by means of an industrial robot for each machine. Within another version, a gantry-type robot serves all the three machines. Also, this paper analyses the case when the manufacturing of one workpiece is made on two machines. These versions were modelled by means of complex coloured Petri nets. The simulations were meant to point out any bottlenecks that may occur within the operation of the system. Using the time factor allowed to assess the system versions also for efficiency. Finally, the paper confirms that modelling and simulation with coloured Petri nets are very useful to assess the performances of the robot manufacturing systems.

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Implementation of fuzzy system using hierarchical Colored Petri Nets to model flexible manufacturing cell

Cited by 4 publications

References 4 publications

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

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

A Novel Method for General Hierarchical System Modeling via Colored Petri Nets Based on Transition Extractions from Real Datasets

Automated Manufacturing Systems, Modelled by Means of Coloured Petri Nets With Complex Colours and Functions

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