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Abstract

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.

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Authors and Affiliations

Sławomir Luscinski
Vitalii Ivanov
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Abstract

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.

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Authors and Affiliations

Yuliia Denysenko
Vitalii Ivanov
Slawomir Luscinski
Viliam Zaloga
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Abstract

At present, the speed of production and its complexity increases with each passing year due

to the shorter product life cycle and competition in the global market. This trend is also

observed in the machine-building industry, therefore, in order to ensure the competitiveness

of enterprises and reduce the cost of production, it is necessary to intensify production.

This is especially true in the machining of complex parts that require a great number of

setups, and technological equipment. The problem-oriented analysis of complex parts was

carried out, the parts classification was structured and developed according to the design

and technological features. This made it possible to offer advanced manufacturing processes

for complex parts like levers, forks, and connecting rods. The flexible fixtures for specified

complex parts were developed. The effectiveness of the proposed manufacturing processes,

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Authors and Affiliations

Vitalii Ivanov
Ivan Dehtiarov
Ivan Pavlenko
Illia Kosov
Mykyta Kosov
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Abstract

Technological assurance and improvement of the economic efficiency of production are the

first-priority issues for the modern manufacturing engineering area. It is possible to achieve

a higher value of economic efficiency in multiproduct manufacturing by multicriteria optimization.

A set of optimality criteria based on technological and economic indicators was

defined with the aim of selecting the optimal manufacturing process. Competitive variants

and a system of optimization were developed and investigated. A comparative analysis of

the optimality criteria and their influence on the choice of optimal machining processes was

carried out. It was determine

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Authors and Affiliations

Alexey Kotliar
Yevheniia Basova
Vitalii Ivanov
Olena Murzabulatova
Svitlana Vasyltsova
Mariia Litvynenko
Olena Zinchenko

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