Process Stochastic Simulation

The increase in the complexity and diversity of operations puts increasing pressure on managers, especially on the time spent making decisions and their quality. Stochastic simulation offers an agile, data-driven solution without interruption to operations. 

The CCG/ZGDV Institute has a multidisciplinary, specialized and experienced team, capable of offering a solution from data extraction to the creation of dashboards that support decision-making. The simulation allows you to replicate multiple scenarios in operations, namely: new dispatch strategies, layout modifications, changes in resources, fluctuations in demand and different schedules. The stochastic component brings randomness - experienced daily in operations - to the simulation, affecting times and failures.




CCG/ZGDV supports organizations through the following activities:

  • Replication of real system behavior in a virtual stochastic simulation model
  • Development of different system scenarios, which allow comparison
  • Feeding the model with real data and its dynamic behavior 
  • Development of customized results dashboards
  • Creation of user-customizable model parameters
  • Construction of customized results to your needs
  • Treatment of data upstream and downstream of the stochastic simulation model
  • Creation of the digital twin 



Create and compare different scenarios

Allow the creation of different scenarios and their comparison, e.g. new dispatch strategies, layout modifications, changes in resources, fluctuations in demand and at different times.



Modify and analyze with continuous availability

By replicating the real system through stochastic simulation, this virtual model will allow modifications and analyzes to be carried out, maintaining the normal functioning of operations.



Define different aspects of the system

Enable user parameterization, which will allow them to define different aspects of the system, in order to analyze their impact (e.g., number of operators, strategies, or variation in demand).


Adapt results to needs

Allow the results to be adapted to the real needs of each organization. This way, the person in charge will be able to make a decision directly based on the results offered by the model.



Plan operations

Introduce operations planning, validate it, and reconfigure it within a time frame that allows the person responsible to make decisions.


Assist in the digitalization of operations

Recognize stochastic simulation as fundamental in the digital twin, helping to digitize operations.