Keywords: simulation, reconfigurable manufacturing system, complex structured object, software package, optimization, queuing system, anylogic
The software package for simulation of complex structured reconfigurable objects based on models of typical manufacturing systems
UDC 004.942
DOI: 10.26102/2310-6018/2020.30.3.00
Currently, in the field of industrial production, there is a gradual transition to a new stage of development, called Industry 4.0. The basic concept was first presented at the 2011 Hannover exposition. The main process in an industrial plant according to the Industry 4.0 concept is the digital transformation of a physical manufacturing system into a reconfigurable digital one. Reconfigurable manufacturing systems are the latest advancement in production system development. The most important characteristics of reconfigurable manufacturing systems are the high adaptability of hardware and software components to respond to constantly changing market requirements for the type and quantity of products. The software package presented in this paper is intended for simulation of complex-structured systems. The application area of this package mainly includes reconfigurable manufacturing systems that provide the production of complex technical products with high constructive and quality indicators, comprising a wide range of components and parameters. The software package is based on a formalized description of the manufacturing system as a multichannel multiphase queuing system. At the same time, object simulation is based on typical models of working and assembly systems. The software package is developed in the object-oriented programming language JAVA using the AnyLogic simulation environment.
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Keywords: simulation, reconfigurable manufacturing system, complex structured object, software package, optimization, queuing system, anylogic
For citation: Lashchenov D.P., Burkovsk V.L. The software package for simulation of complex structured reconfigurable objects based on models of typical manufacturing systems. Modeling, Optimization and Information Technology. 2020;8(3). URL: https://moit.vivt.ru/wp-content/uploads/2020/08/LashchenovBurkovsky_3_20_1.pdf DOI: 10.26102/2310-6018/2020.30.3.00 (In Russ).
Published 30.09.2020