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Optimization

Allocate Resources Most Efficiently

The Optimization Add-in gives you the ability to perform linear program (LP) optimization, integer program (IP) optimization, non-linear, single value optimization, and stochastic optimization.

Optimization is used for allocating resources most efficiently. It allows you to find input values for your model that maximize or minimize a result. This is useful for resource allocation problems such as choosing the product mix that maximizes profit given limited raw materials and resources.

Vanguard's Stochastic Optimizer can solve any optimization problem. There are no requirements regarding linearity, discontinuities, or other model characteristics that restrict the applicability of virtually all other optimization tools. The Stochastic Optimizer even supports Grid-based computing, making it possible to solve massive problems using spare CPU time on your colleague's desktop computers.

Since Vanguard's optimization functions are completely modular, you can build models that perform an optimization as only one small component in a more complete analysis including:

  • Automatically importing and structuring your data,
  • Performing an optimization, and
  • Exporting data back to your business systems.

Vanguard's LP/IP optimization routines support an unlimited number of variables and constraints.

Questions?

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Quick Views

LP optimization can be integrated into larger planning and analysis models and linked to your existing business systems.

Vanguard's Goal Seek tool gives you easy access to single-value optimization.

The Solver is useful for performing LP optimization without building optimization into the base model.

Use the Stochastic Optimizer to solve non-linear, discontinuous problems.

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