Collaboration, flexibility and evidence-based decision making
Airbus divisions had worked with Twinn experts, previously known as Lanner, before and recommended our Witness
Horizon predictive simulation
software to its partners as the ideal solution for planning satellite production.
“We were designing from start-up and needed assurance that what we were creating would deliver products ready for launch dates,” said Gwendolyn Sisto, Operations & Planning Manager at OneWeb Satellites.
“They came for a demo, and it was immediately clear that Witness was easy to use and programme. Compared to other modelling software I’ve used, it’s so much more flexible. You can see it’s designed based on what users actually need. Seemingly little things like the range of variables or the ability to make an input/output file in Excel without hard coding variables in the model – they amount to game changers,” Gwendolyn explained.
Our experts held initial training with the OneWeb Satellites team, taking them through Witness and creating the preliminary model.
“OneWeb Satellites was looking for an evidence-based way to define the factory, and even in the demo version of the model, they could start understanding key aspects,” said Eric Gaury, Senior Consultant at Twinn. “From there, it was easy for OneWeb Satellites to take ownership of the model, develop it and get ongoing value.”
“We got a lot out of the training and from the ongoing support,” Gwendolyn added. “We made a very complex model, which I didn’t realise was even possible at first. We’re constantly learning about additional Witness capabilities and evolving the model. If I need to re-programme or make it more complex, it can be done quickly with their help. This gives us agility, which is crucial for the business.”
The model incorporated a vast range of variables.
“OneWeb Satellites needed to be able to accurately predict satellite production to meet launch dates. They therefore needed to understand how production, automation, quality assurance and supply chain factors affected throughput. Importantly, they needed to account for a learning curve – because the first satellites take longer to make than the 400th one due to efficiency increases over time,” Eric explained.