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Simulation and the Fourth Industrial Revolution - Coggle Diagram

- - - - Areas of Industry Using Simulation:As large volumes of data can be continously provided in real timeor semi real time through simulation modeling, operational logic can be described in detail at any level desired. This allows companies to animate and understand real systems behaviors more easily
        
        Simulation models can be designed to solve complicated problems associated with Industry 4.0 environments
      - Decision-Making Processes Using Simulation
        
        Data preparation involves requesting or extracting data from data warehouses, MES, ERP
        
        Data analysis is responsible for providing appropiate data to step 3
        
        Simulations results using appropiate machine learning method
        
        Input data preparation is a basic step traditionally applied in system design applications
        
        A simulation model is created that represents real physical operation systems. In this step: a simulation model is required
        
        Simulation results are outputted to make short term or long term operational management decisions
        
        Evaluation of Step 6
      - Simulation techniques such as discrete event simulation (DES) and agent-based simulations (ABS) are major methods implemented in decision-making processes
      - Benefits of Simulation in Industry 4.0 Environments
        
        In an 4.0 envirnment, planning and scheduling activities focus on how to generate an intermediate and precise plan or how to generate a schedule from computerized information, which include complete representations of operating constraints and custom rules
        
        Although symbiotic systems present a useful system design for representing physical systema, including various types of computing resources, there is a need for data utilization methods to integrate different data sources before performing symbiotic simulation models
        
        Operations managers must adapt changes pertaining to machine status, priority orders, and settings are needed to enable operational flexibility in smart factories. Operations managers must adapt to changes pertaining to machine status, priority orders, and various scheduling rules among others
        
        Conclusions
        
        Digital industry technologies, in particular, the IoT, which enables the processing of real-tine data through microcontrollers and servers
        
        Digital industry technologies are prominent contributors to Industry 4.0 but are still developing
        
        Using current data utilization methods, symbiotic systems can be designed to represent physical systems, including various types of cumputing resources
        
        Symbiotic simulation factories can be linked to physical and virtual environments. Symbiotic simulation is one of the driving methodologies for rapidly assesing and predicting the impact changes in complicated manufacturing systems