The Procedures of Logistic Transport Systems Simulation into the Petri Nets Environment

The article presents the methodology of the logistic system simulation in the Petri Nets environment on the example of agro-products delivery from Ukraine to the Netherlands, as well as a set of case-studies that can be used as didactic means for course "The modeling of transport processes" to teach the future transport industry specialists. The content, features and capabilities of the Petri Nets in the logistics systems simulation have been analyzed. A structural logistic system model of agro-products delivery, which takes into account the operation sequence, the combination peculiarities and the use resources in each subsystem, has been constructed into the Petri Nets. A time criterion has been proposed to determine the effective option for agro-products delivery. According to the results of the logistics system simulation in the Petri Nets environment, a statistical analysis of the parameters has been carried out. It has been made a choice of a suitable option of the delivery scheme allowing for the time spent and the magnitude of the possible costs associated with the use of certain transport modes. It has been made conclusion about feasibility of creating the case-study set, which is based on real facts and being solved into the Petri Nets environment, in order to organize the future transport industry specialists' study and research activities.

[1]  Roberto Tadei,et al.  Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues , 2019, Transportation Research Part E: Logistics and Transportation Review.

[2]  André Ludwig,et al.  Event processing in supply chain management - The status quo and research outlook , 2019, Comput. Ind..

[3]  Chang Fei Jin,et al.  Research on Optimization and Debugging Simulation Model of Logistics Center Based on Neural Network , 2010 .

[4]  Meyliana,et al.  Critical Success Factor of Information Technology Implementation in Supply Chain Management: Literature Review , 2018, 2018 5th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE).

[5]  N. Shramenko,et al.  Integrated business-criterion to choose a rational supply chain for perishable agricultural goods at automobile transportations , 2020, International Journal of Business Performance Management.

[7]  Ya Ping Wang,et al.  Petri Net Modeling: Container Terminal Production Operation Processing System Analysis , 2013 .

[8]  Dmitriy Muzylyov,et al.  Information and Communication Technology: Case of Using Petri Nets for Grain Delivery Simulation at Logistics System , 2019, CMIS.

[9]  Jun Hui Fu,et al.  A Survey on the Object-Oriented Petri Net Modeling , 2011 .

[10]  Khaled Salah,et al.  Smart contract-based approach for efficient shipment management , 2019, Comput. Ind. Eng..

[11]  Shan He,et al.  Study on Model Validation of Logistics System Based on Petri Nets , 2012 .

[12]  T. Karthikeyan,et al.  A Comprehensive Survey of Flexible Manufacturing System Scheduling Using Petri Nets , 2014 .

[13]  A. Hrynkiv,et al.  Realization of the Logistic Approach in the International Cargo Delivery System , 2019, Communications - Scientific letters of the University of Zilina.

[14]  Qiang Gao,et al.  Modelling and analysis of hybrid stochastic timed Petri net , 2019, J. Control. Decis..

[15]  Dmitriy Muzylyov,et al.  Forecasting of Overloading Volumes in Transport Systems Based on the Fuzzy-Neural Model , 2019 .

[16]  O. V. Fomin,et al.  Logistic technology to deliver raw material for metallurgical production , 2018 .

[17]  Ray Y. Zhong,et al.  Smart product-service systems in interoperable logistics: Design and implementation prospects , 2019, Adv. Eng. Informatics.

[18]  Vladimir Soloviev,et al.  Training future teachers in natural sciences and mathematics by means of computer simulation: a social constructivist approach , 2019, ArXiv.

[19]  Olexiy Pavlenko,et al.  The Choice of Rational Technology of Delivery of Grain Cargoes in the Containers in the International Traffic , 2017 .

[20]  Dimitri Lefebvre,et al.  Robust control for railway transport networks based on stochastic P-timed Petri net models , 2019, J. Syst. Control. Eng..

[21]  N. Shramenko,et al.  Methodology of costs assessment for customer transportation service of small perishable cargoes , 2020, International Journal of Business Performance Management.

[22]  Dragan Peraković,et al.  Information and Communication Technologies Within Industry 4.0 Concept , 2018, Lecture Notes in Mechanical Engineering.

[23]  Reiner Hähnle,et al.  Formal modeling and analysis of railway operations with active objects , 2018, Sci. Comput. Program..

[24]  Ulrich Konigorski,et al.  A Graph Metric for Model Predictive Control of Petri Nets , 2018 .