A Structure-Modification-Based Petri Net Modeling and Reachability Analysis Method for Automated Manufacturing Systems

Due to their graphical representation and capability for property analysis, Petri nets (PNs) have been widely used in developing automated manufacturing systems (AMS). When designing them, it is important to perform their state reachability analysis and verify their functionality. The most common approach is to traverse a reachability tree of their PN models. However, it has the problem of state space explosion. A way to determine a state’s reachability is to find a firing sequence (FS) that corresponds to nonnegative integer solutions (NISs) of a state equation. Our prior work has given an algorithm to decide the existence of FS corresponding to an NIS in polynomial time. Yet it is impossible to decide the reachability of a marking given an infinite number of NISs of a state equation. This work studies the relationship between the PN model and NIS count of any state equation. An innovative method is proposed to modify a PN structure such that, for any given initial state and destination one, its state equation has no more than one NIS. Given an initial PN model of an AMS, by analyzing the relationship between initial PN properties and the modified one’s, we have that the proposed method can maintain the functionality of the modeled AMS. As a result, by using the modified PN as the AMS’s final model, the reachability of any marking can be determined in polynomial time, which can be viewed as a breakthrough result in the field of PN analysis. The proposed method is illustrated via case studies.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3588429
Citations
2
Primary Topic
Flexible and Reconfigurable Manufacturing Systems
Type
article
Field-Weighted Citation Impact
2.48
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article

A Structure-Modification-Based Petri Net Modeling and Reachability Analysis Method for Automated Manufacturing Systems

Aiiad Albeshri, Liang Qi, Yue Su, Abdullah Abusorrah et al.
2 citations
IEEE Transactions on Automation Science and Engineering
Flexible and Reconfigurable Manufacturing Systems
2.48
article

A Structure-Modification-Based Petri Net Modeling and Reachability Analysis Method for Automated Manufacturing Systems

Aiiad Albeshri, Liang Qi, Yue Su, Abdullah Abusorrah, MengChu Zhou
article en
2 citations

Abstract

Due to their graphical representation and capability for property analysis, Petri nets (PNs) have been widely used in developing automated manufacturing systems (AMS). When designing them, it is important to perform their state reachability analysis and verify their functionality. The most common approach is to traverse a reachability tree of their PN models. However, it has the problem of state space explosion. A way to determine a state’s reachability is to find a firing sequence (FS) that corresponds to nonnegative integer solutions (NISs) of a state equation. Our prior work has given an algorithm to decide the existence of FS corresponding to an NIS in polynomial time. Yet it is impossible to decide the reachability of a marking given an infinite number of NISs of a state equation. This work studies the relationship between the PN model and NIS count of any state equation. An innovative method is proposed to modify a PN structure such that, for any given initial state and destination one, its state equation has no more than one NIS. Given an initial PN model of an AMS, by analyzing the relationship between initial PN properties and the modified one’s, we have that the proposed method can maintain the functionality of the modeled AMS. As a result, by using the modified PN as the AMS’s final model, the reachability of any marking can be determined in polynomial time, which can be viewed as a breakthrough result in the field of PN analysis. The proposed method is illustrated via case studies.

IEEE Transactions on Automation Science and EngineeringVol. 22
Macau University of Science and Technology (MO), New Jersey Institute of Technology (US), King Abdulaziz University (SA), Renewable Energy Systems (United States) (US), Shandong University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Flexible and Reconfigurable Manufacturing Systems
2.48
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