Using Parametric Analysis: Airline NLP Module 2

Analytica Optimizer GuideUsing Parametric Analysis: Airline NLP Module 2

It is often useful to vary the input values of a model to see how the changes affect downstream variables. In optimization problems, we are primarily concerned with the objective value. Analytica’s Structured Optimization also makes it easy for you to see how parametric variations affect objectives and optimization results.

Analytica Optimizer treats parametric variations on Variables and Decisions differently.

Parametric variations in input Variables

Applying Parametric variations to input Variables causes Analytica to abstract over the parametric index. This allows you to see how parametric variations affect the Objective value as well as the optimization result.

To see this, start with the Module 1 Base Case and apply parametric variations to Base Demand.

Variable Base_Demand := [200k,400k,600k,800k,1M]

Evaluate Profit to see how this variation affects the pre-optimized objective value. (This value applies the original Decision inputs: Fare = 200, Number of Planes = 3)

Optimizing with ArraysUsing Parametric Analysis: Airline NLP Module 2Optimizer Attribute Reference