UDC 004.724
APPROACH TO OPTIMIZATION OF MANUFACTURING PROCESSES USING MATHEMATICAL APPARATUS OF ADVANCED PETRI NETS
A. G. Voloshko, Ph.D. (Tech.), associate professor, associate professor of department of Сomputer Technology, TulSU, Tula, Russia;
orcid.org/0000-0002-4304-2513, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. N. Ivutin, Dr. Sc. (Tech.), full professor, Head of Department of Сomputer Technology, TulSU, Tula, Russia; orcid.org/0000-0003-2970-2148, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
O. S. Kryukov, post-graduate student, TulSU, Tula, Russia;
orcid.org/0000-0003-3155-6266, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Modern manufacturing faces efficiency challenges. At the same time, efficiency can often be in-creased through competent organization of processes, taking into account the use of hidden parallelism of individual stages and the possibility of additional automation of information exchange processes. Thus, the aim is to describe an approach to the analysis and optimization of production processes based on the criterion of exe cution time. The article proposes the use of extended Petri nets with se-mantic relations, which make it pos sible to separate the flows of actual execution of operations, i.e., the specific implementation of the process, and the flow of requirements for performing operations from the viewpoint of performing preparatory stages. This paper describes the structure of corresponding software for analyzing and issuing recommendations to modify the process and examines in more detail the approach to process optimization implemented in the corresponding module of the sys-tem, which allows, based on network structure analysis, to determine bot tlenecks and offer, taking into account specified restrictions, the options for modernization.
Key words: : optimization, constraints, informational systems, manufacturing process, Petri nets, simulation.