Network Optimization Simulation
Simulation modeling has long been known in academia to provide inventory and service
performance information as well as asset utilization data missing from simple optimization
modeling. Until recently, simulation modeling has been impractical due to data requirements.
For example, optimization uses only average annual demand data by item while simulation
uses daily demand details for one or two years of history to define variation in
demand. Today, we have use of large ultra fast data bases such as SQL and powerful
engines which can very efficiently handle 10 to 15 giga byte files and millions
of supply chain relationships.
Supply Chain Guru is a State-of-the-Art supply chain network modeling and inventory
optimization tool.
Supply Chain Guru combines the strengths of traditional Optimization modeling and
the newer and more powerful Monte Carlo Simulation modeling. Supply Chain Guru uses
one network data base to efficiently run both simulation and optimization in tandem.
The combination solves business problems not just answers to mathematical postulations.
Today, we have use of ultra fast data bases and a new more powerful simulation engine.
These technologies have transformed simulation modeling into a practical and everyday
management tool from an academic exercise.
The modeling elements as shown on the exhibit are intuitive, thus the user can readily
understand the model.
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