METHODS FOR PRESENTING PETRI NETS MODELING RESULTS OF PRODUCTION SYSTEMS

Abstract

The article considers the issues of presenting the results of simulation experiments with models based on Petri nets for a researcher. The need for a qualitative review of the applied methods for visualizing Petri nets of both the processes themselves and the modeling results has been identified and justified. An analysis of publications on the subject of Petri nets allowed us to conclude that the visualization of such models and the results of their modeling is a known weak point. It is this factor that significantly limits the use of Petri nets as a tool for solving practical problems. The characteristic features of the calendar planning problem and the applied forms of presenting the results of its solution are analyzed. Based on the analysis of literary sources and empirical data, the feasibility of solving the planning problem on the basis of preliminary simulation modeling by Petri nets is substantiated. The method of automatic formation of Gantt diagrams is formalized. The mechanisms for identifying the state of system resources by transitions of the network model are determined. In developing the approach, the attributes and characteristics of its elements already existing in the simulation network model were used to the maximum. An example of using the proposed approach based on the model of a typical robotic technological complex is given. According to the results of the experiment, it was revealed that the software implementation of the described formal rules does not significantly affect the speed of model simulation for the presented robotic system. The proposed approach has the same versatility as the mathematical apparatus used timed Petri nets. This allows us to describe the results of modeling systems and processes of different types, for example, transport or information. An important advantage of the implemented mechanism for the connection of Petri nets and Gantt diagrams is the transfer of the dynamic nature of networks to the process analysis procedures based on diagrams. There is also the possibility of introducing stochastic characteristics of the processes both in the simulation model and in the generated Gantt diagram. The direction of further research on the topic of the article may be the application and corresponding refinement of the obtained formal rules for simulating a network with identification of resources for other classes of Petri nets often used in practice, for example, color Petri nets or E-nets.