Simulation Modeling
Predict and visualize the outcome of your strategies and plans
Simulation models are used to gain a better understanding of how the supply chain works and how its performance or outcome can be affected by random events, uncertain external factors or changes in policies, configuration or flows.
Unlike their optimization ‘cousins’, supply chain simulation models do not optimize nor recommend optimal strategies or decisions.
What they do is predict the outcome resulting from these strategies and decisions. In other words, they help us understand the “What Is”, and then predict the “What If”.
With our partners at SDI, we have developed and deployed numerous supply chain simulation models and applications covering different topics, such as:
- Plant to warehouse replenishment operations
- The production scheduling of high-speed processing lines
- Forecasting bulk storage capacity requirements in an expanded chemical manufacturing facility
- Modeling plant and warehouse receiving and shipping operations
- Simulating supply chains
Our tool of choice is Flexsim, one of the premier simulation software platforms in the market.
So... Should I Simulate or Optimize?
Simulation and optimization are both very powerful analytical techniques, but completely different in their approach and objectives.
The goal of an optimization model is to solve scenarios – i.e. identify the best solution given a set of dependencies, rules and restrictions.
A simulation model, conversely, does not identify or recommend solutions.
Its goal is to model the temporal behaviour of an operation and predict its performance.
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