Process Dynamics

Quantifying the true interdependencies between processes is critical as it allows you to identify areas for improvement (capacity, efficiency & cost) and it allows you to test / experiment with ideas and concepts before they are physically implemented, thus significantly reducing business risk.

By studying and modelling various processes, their interactions can be fully understood. Depending on the requirements, this modelling generally takes the form of a simulation model due to the need to handle complex, interdependent and dynamic systems. The ultimate version of this model would be a digital twin which would mimic reality. Varying versions of this can be produced based on the requirements of the analysis being performed.

RIC will analyse the process and develop the applicable model required to ensure a cost effective and timely solution. Examples of model outputs could be:

  • True system capacity
  • Utilisation rates (fleet, people, equipment)
  • Inventory levels
  • The effect of different maintenance policies (for example: scheduled maintenance, condition-based maintenance and predictive maintenance)
  • The true cost of servicing individual customers by quantifying specific business activities and overhead costs, etc.

If a dynamic simulation model is developed, the fluctuations of these outputs can be analysed over time.