International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The subject of the conducted research and development project was the simulation modeling of solutions for a mass production system of customized furniture. Within the project, a digital twin of the custom furniture production and flexible manufacturing in the FlexSim 3D Simulation Software environment were utilized. The research and development work aimed to investigate the impact of production volume on machine load and the overall system efficiency. The scientific paper presents the methodology of project implementation, as well as the characteristics of input data and the process of producing customized furniture. The functioning logic of the simulation model is also described, along with the outcomes of the solutions for various scenarios. The paper includes the results of computer simulations for individual variants and provides potential recommendations. The project was carried out at Handcraft Sp. z o.o. company.

It is presented comparison between captured and simulated temperatures in specific points of welding process and simulation model made with MAGMA software.

The article develops a simulation model (based on the MatLab Simulink mathematical processor) of an information-measuring system of electrical characteristics (residual surface electric charge, surface layer capacity, etc.) of functional coatings of electronic devices. The main purpose of the simulation model was to determine the rational parameters of measurement and control of the informationmeasuring system developed by the authors, which would simplify the process of setting up such a system, as well as explore the dynamic modes of its operation. The main advantage of the developed simulation model is the ability to conduct an interactive study of the operation of the information-measuring system under various, including limiting, modes. Tests of the simulation model of the information-measuring system made it possible to study its operation under various conditions and modes of the measurement experiment, as well as to virtually determine the rational operating parameters of such a measurement and control system. A satisfactory discrepancy of 8-11,5% was established for the experimental results compared with the data obtained analytically, which proves the correctness and adequacy of the compiled model.

The main issues are considered in this topic: choice of corrective actions; monitoring of values of key indicators and corrective actions; assessment with use of a simulation modeling of an expectation of values of key indicators and the operating influences during the specified periods; determination by means of simulation modeling of change of sizes of corrective actions for transition from "crisis" by the "successful" periods of work of the entity.

A regional agricultural center is a key link in the system of supplying Georgian standard citrus cultures to the goods markets of European countries. The elements of such logistics centers are united into three groups which comprise three large logistics divisions – supply, production and distribution.

Optimization of the production subdivisions and technical equipment is carried out on the basis of optimizing the whole center by developing a simulation model based on statistical modeling of random streams. At first, a structural-parametrical (qualitative) model of agricultural center was developed. For optimizing the center’s technical equipment and operating standards, the combined optimization parameters have been developed. Based on the objective function formalization, there has been developed a system model of planning and optimizing of agricultural center by developing the system constraints. Optimization and algorithmization of subdivisions and the whole system are carried out by decomposition of model on separate blocks, which correspond to separate subsystems of the center.

The aim of this work is to develop a simulation model of the caterpillar drive, in order to determine at the development stage output characteristics during movement under varying input parameters. This is achieved by developing a dynamic model, a mathematical model and a simulation model of a caterpillar drive.