AI Cost Estimation
AI Project Scheduling
AI Risk Assessment & Mitigation
AI Labor Estimation
Work Breakdown Structure
Design for Manufacturing (DFM)
Should Cost Analysis
Price to Win (PtW)
Total Cost of Ownership
Design to Cost
RFI, RFP, RFQ
Mastering Cost Risk with the CRED Model: A New Approach to Managing Uncertainty
Image courtesy of TWZ
The Phantom 3500’s design is expected to yield manufacturing benefits, including reductions in total material required for production and overall manufacturing costs. Just today, a firm called Galorath, described as “the premier AI-powered estimation platform provider,” announced that Otto will also be using its SEER product to help produce “structured operational intelligence to anticipate costs and streamline production efforts.”
“As we enter the next phase of aircraft development, time-to-market, quality control, and resource accuracy are critical to our success,” Obi Ndu, Otto’s chief information and digital officer, said in an accompanying statement. “Integrating Galorath’s SEER platform into workflows ensures we have the right tools to combat economy-driven constraints and focus on cost, outcome predictions, and meeting design requirements, keeping us ahead of the curve with a strategic advantage.”
To continue reading, please visit the original article.
Share this:
Connect with Media Relations
Please email Walt & Co. for interview or information requests.
