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We are delighted to announce a new release of Aerogility - version 2.2 is now available for customers wishing to upgrade.
The Aerogility
development team delivers two new releases of Aerogility a year using agile
development techniques. The latest release focuses on two areas; the first
delivery of multi-dimensional optimisation and configurable business logic to
create agent behaviour.
The optimisation
function uses an exhaustive search technique, which is particularly suited to
exploring a constrained problem space. An Aerogility user can choose to
minimise or maximise Key Performance Indicators, or target a specified value.
The optimisation function will automatically adjust a range of options in a
what-if scenario to achieve a balanced and optimal business decision. The
development of the optimisation function was led by Steve Osborn, Aerogility
Architect, and Dr. Viet Dung Dang, Lead Developer.
"Our starting point was a key question - how does a customer organise their aftermarket services to maximise contract revenue, minimise MRO costs and achieve target fleet availability?" said Steve Osborn.
Exhaustive
search optimisation automates the configuration of simulations to explore a
specific goal set by the business user. This function will be upgraded in
future releases of Aerogility, extending optimisation to include hill-climbing
and genetic algorithm techniques.
The
implementation of configurable business logic is an important development for
customers. We have extended the concept of operating parameters driving agent
behaviour in a simulation. A business user can configure decision logic and
process actions using parameters, data tables and English-like business rules,
without requiring specialist support from modelling experts or software
developers.
“Aerogility is designed to deliver powerful
business simulation capability directly to the decision-makers,” said Gary
Vickers, Executive Director. “This
functionality is another important step in enabling the business to have even
more control of their Aftermarket model and simulations”.
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