The about the benefits of digitalization, the development of

The Internet of things (IoT) is the network of physical devices, vehicles, home
appliances and other items embedded with electronics, software, sensors, actuators, and network connectivity which enables these objects to connect and exchange data. Nowadays
developed information technologies like  Neural networks, cloud services ,VR, Big Data  combined with low prices for sensors and
internet access have already formed Industrial IOT. Undoubtedly, digitalization
is the main trend (Industry 4.0) for companies pretending to be leaders in any
high technological industry. Nevertheless, the
advantages of The Digital Twin, complexity and high price for implementation are
primarily factors which inhibit spreading of Industry 4.0 approach (Thomas
H.-J. Uhlemanna., 2017) . In order to transfer knowledge about the
benefits of digitalization, the development of demonstrating platforms (also called
learning factories)  is crucial. Primarily,
this paper proposes methodology for implementation Learning factory to
demonstrate the potentials and advantages of real time data acquisition and
subsequent simulation based data processing.  The production cell included industrial robot
for part handling, loading and unloading, several milling and lathe machines
with installed sensors.  All components had
no connection between each other and information from sensors didn’t bring any
sense and use. An automation upgrade of the cell is proposed, involving Technomatix
Plant Simulation tool, programmable logic controllers, RFID tags.   The
digital twin is primarily formed by Discrete Event Simulation and Process
Simulation to analyze the performance of the manufacturing system (Roland
Rosen., 2015) and observe current state of all components of the system at any time.
Moreover, Digital twin approach increase a flexibility of the system  like Distributed planning, dynamic
rescheduling, improved decision support, individual program of metal treatment or
handling operations for each bar and wider the range of products.  The test has been  that installed system is capable to execute more
variety of assemblies with better performance compare to ordinary manufacturing
system. The comparison between the Digital Twin and common tools of process
optimization, e.g. VSM, is carried out and shows the benefits of digitalization
in a vividly manner. Benefits of the proposed new approach for the analysis and
modification of production systems can be experienced by participants in
practical training sessions, especially continuous data acquisition, automated
derivation of optimization measures and capturing of motion data. The physical
implementation of the system enabling the Digital Twin based on Discrete event
simulation is the first step to enter Industry 4.0 era. To increase components utilization
of the system and enable It with scalability further researches should be
performed Including optimization methods, machine learning, Genetic algorithm
and etc.