Fast Verification of Petri Net-Based Model of Industrial Decision-Making Systems: A Case Study
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
This work deals with the verification of a decision-making system for additive manufacturing (AM) technology adoption specified by a Petri net. An innovative verification technique of a Petri net-based system is oriented toward practical applications, and can detect errors at the early design and modelling stage. The idea is illustrated by a real-life case study of supporting decision making in AM technology adoption affecting supply chain management (SCM). Two main issues are addressed. Firstly, making optimal decisions about AM technology requires models rarely possessed within a company. Therefore, this work proposes a model supporting the decision making related to the implementation of AM technology, based on a Petri net, by utilizing its main advantages: graphical modelling, and strong mathematical support of formal verification techniques. Contrary to the most popular analysis methods (which are bounded exponentially in a general case), it is proved that the presented method is bounded by a cubic polynomial with net size. Secondly, an investment in AM technology is often financially assessed and does not affect other processes, as in our SCM case. Hence, strong connectivity within the proposed Petri net-based model is examined.
Identifier
85187277820 (Scopus)
ISBN
[9798350337020]
Publication Title
Conference Proceedings IEEE International Conference on Systems Man and Cybernetics
External Full Text Location
https://doi.org/10.1109/SMC53992.2023.10394156
ISSN
1062922X
First Page
3316
Last Page
3322
Grant
2019/35/B/ST6/01683
Fund Ref
Narodowe Centrum Nauki
Recommended Citation
Wiśniewski, Remigiusz; Patalas-Maliszewska, Justyna; Wojnakowski, Marcin; Topczak, Marcin; and Zhou, Mengchu, "Fast Verification of Petri Net-Based Model of Industrial Decision-Making Systems: A Case Study" (2023). Faculty Publications. 2306.
https://digitalcommons.njit.edu/fac_pubs/2306