Quantitative Dynamic Simulation and Analytical Optimization

Modern supply chains and manufacturing systems are complex and subject to a wide variety of risks. Making decisions based on average and deterministic values (typical Excel computations) is far too risky as it does not represent the real-world random behavior. Quantitative dynamic simulation provides decision makers with a powerful tool that assures sound decisions in awareness of all the consequences and risks.


Quantitative Dynamic Simulation supports decisions on all levels in the Supply Chain and Manufacturing system:

Strategic example

Tactical example

Operational example

In summary, Quantitative Dynamic Simulation is a must to:

  • Evaluate the robustness of your supply chain

  • Identify bottlenecks

  • Assess cost and service level trade-offs

  • Dimension system’s parameters such as stock levels and lot sizes

  • Study what-if scenarios such as: capacity investment, modifications in the industrial and distribution networks, changes in the management policies for procurement, manufacturing, inventory, delivery and transport 


When coupled with analytical optimization, quantitative dynamic simulation provides an excellent decision-making tool to support business leaders and supply chain professionals in their toughest supply chain and operations challenges.

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