Refinement of coloured petri nets

1997 ◽  
pp. 105-116 ◽  
Author(s):  
Eike Best ◽  
Thomas Thielke
Keyword(s):  
Petri Nets ◽  
Coloured Petri Nets

Modeling Emergency Response Plans with Coloured Petri Nets

2013 ◽  
pp. 106-117
Author(s):  
Manuel Cheminod ◽  
Ivan Cibrario Bertolotti ◽  
Luca Durante ◽  
Adriano Valenzano
Keyword(s):  
Petri Nets ◽  
Emergency Response ◽  
Coloured Petri Nets ◽  
Modeling Emergency

scholarly journals Improving the Correctness of Medical Diagnostics Based on Machine Learning With Coloured Petri Nets

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 143434-143447
Author(s):  
Muhammad Nauman ◽  
Nadeem Akhtar ◽  
Omar H. Alhazmi ◽  
Mustafa Hameed ◽  
Habib Ullah ◽  
...  
Keyword(s):  
Machine Learning ◽  
Petri Nets ◽  
Medical Diagnostics ◽  
Coloured Petri Nets

scholarly journals Business Process Improvement of Production Systems Using Coloured Petri Nets

2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno
Keyword(s):  
Petri Nets ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Production Systems ◽  
Coloured Petri Nets ◽  
Manufacturing Companies ◽  
Fundamental Factor ◽  
Bottleneck Analysis

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

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