Aerogility version 5 – Scale & Governance – available for customers
In Aerogility version 5 we have made significant improvements to the support of very large fleets and our enterprise decision-support capability. Version 5 is designed to meet the requirements of customers managing large scale sustainment programs for aircraft and land vehicle fleets numbering several thousand assets. Each asset can be represented in an enhanced multi-indentured, multi-echelon structure comprising thousands of modules and parts. The improvements include an optimized database and usability features for handling very large asset datasets and agent parameters.
We have included further options for managing simulation output. Business users now have more control over the simulation events they choose to log and include in post-run analytics. This has the benefit of reducing unnecessary processing in a simulation, for example, excluding cost data if it is not required in a what-if? scenario.
We have made further enhancements to the powerful model governance capability in Aerogility. Model governance is a critical component of enterprise-level decision-support, enabling multiple teams working together in different locations to share information, expertise, and decisions in a large scale fleet management and sustainment process.
Model governance now includes the capability to publish complete what-if scenarios in a controlled and audited process, as well as promoting updated individual intelligent agents to the customer’s corporate agent library. This is important for teams sharing their context – the detail of their decisions or policies – with a wider group working in the sustainment process.
Jim Stanfield, President of Aerogility Inc, said, “We are working with the biggest aerospace and defense companies in the world, delivering fleet management and sustainment on a very large scale. We are very pleased to enhance our support for very large fleets, as well as continuing to extend our unique enterprise decision-support capabilities. The industry is well served with desktop simulation tools, but it is model governance that makes the real difference to enterprise level decision-support.”