The main aim of the article is to develop a simulation model of flexible manufacturing

system with applying the ontology on flexibility. Designing manufacturing systems matching

both production and market requirements becomes more and more challenging due to the

variability of demand for a large number of products made in many variants and short

lead times. Manufacturing flexibility is widely recognised as a proven solution to achieve

and maintain both the strategical and operational goals of the companies exposed to global

competition. Generic simulation model of flexible manufacturing system was developed using

FlexSimr 3D software, then the example data were used to demonstrate the developed model

applicability. “The Ontology on Flexibility” was applied for evaluation of achieved flexibility

of manufacturing system.

The specificity of tool provisioning is conditioned using tooling, the quantity of which

exceeds the nomenclature of the manufactured goods considerably. Therefore, for modern

enterprises, first-priority issues are harmonizing the processes of tool provisioning systems,

increasing the level of the reaction of this system to changes, obtaining operational control

over the production system, and, thus, improving the efficiency of the production process.

In this paper, a mathematical model of decision-making based on determining the optimal

strategy for the process flow was proposed to improve the efficiency of the information

system for quality management of tool provisioning. It is suggested to use the sustainable

development factor of information system for quality management of tool provisioning to

make decisions about the path of the tooling process, which considers the requirements of

international standards for management systems (ISO 9001, ISO 45001, etc.). This model

is based on the application of graph optimization theory, fuzzy logic, and Markov chains.

The use of this model is universal and will increase the validity of operational management

decisions, increase productivity, reduce resource dependency, and, therefore, reduce the

costs of tool provisioning, which directly affects the cost of production and competitiveness

of the enterprise as a whole.