Honeywell Forge Performance+ aims to modernize aerospace manufacturing and MRO through AI and machine learning. Honeywell has introduced Honeywell Forge Performance+ for Aerospace, a cloud-based platform leveraging AI and machine learning. This innovative software is designed to assist commercial aerospace manufacturing and Maintenance, Repair & Overhaul (MRO) facilities in modernizing their operations and reducing operational …
Honeywell Launches AI-Driven Software for Aerospace Operations

Honeywell Forge Performance+ aims to modernize aerospace manufacturing and MRO through AI and machine learning.
Honeywell has introduced Honeywell Forge Performance+ for Aerospace, a cloud-based platform leveraging AI and machine learning. This innovative software is designed to assist commercial aerospace manufacturing and Maintenance, Repair & Overhaul (MRO) facilities in modernizing their operations and reducing operational costs through digital transformation.
Key Features:
- Digitalization Benefits: The platform aids in lowering operational costs and streamlining production processes.
- Alignment with Industry Trends: Honeywell Forge Performance+ aligns with the aviation industry’s move towards automation and future advancements.
Industry Challenges Addressed:
Aerospace manufacturing and MRO sectors often grapple with operational complexities and workforce challenges. Honeywell Forge Performance+ addresses these issues by enhancing operational awareness and asset management. It assists organizations in rapidly locating assets, optimizing asset utilization, and reducing maintenance times.
Expert Insights:
Karen Miller, General Manager of Honeywell Connected Aerospace, emphasized the importance of data-driven decision-making and automation in the current aviation landscape. She highlighted the platform’s potential to facilitate quicker turnarounds, increased asset utilization, and reduced maintenance times.
Michael Rowe, Vice President Aerospace & Defense at Frost & Sullivan, pointed out the operational inefficiencies faced by aerospace companies. He stressed the software’s ability to prioritize tasks that have a significant impact on productivity and reduce costly downtime, thereby improving operational efficiency.
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