Honeywell Creates AI-based Tool for MROs, Manufacturers

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Honeywell Creates AI-based Tool for MROs, Manufacturers

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Honeywell Performance+ for Aerospace uses the Forge platform to offer AI and machine-learning efficiencies

Honeywell today unveiled a cloud-based platform through its Forge technology that uses artificial intelligence and machine learning to help manufacturers and MROs modernize production and lower operational costs. Honeywell Performance+ for Aerospace is part of an overarching effort by the aerospace manufacturer to support the advance of automation, the company said.

“During a time of increasing workplace complexity and operating costs, operators need to be able to leverage data to inform critical decision-making and embrace automation,” said Karen Miller, general manager of Honeywell Connected Aerospace. “As the aviation industry grapples with issues such as aging fleets, higher maintenance costs, and ongoing supply chain challenges, Honeywell Forge Performance+ for Aerospace can help organizations achieve key outcomes such as quicker turnarounds, increased asset utilization, and decreased maintenance times.”

The platform is designed to increase operational awareness and improve asset management, such as quickly locating assets. In addition, it is designed to help better manage data that may be siloed, combining predictive maintenance, site optimization, and workforce intelligence into a single site.

“Today’s aerospace companies need to improve their operational efficiency and gain better visibility into their assets, but disconnected and manual processes hold them back,” explained Michael Rowe, v-p of industry analyst Aerospace & Defense at Frost & Sullivan. “A smaller MRO team may have more than 1,200 open maintenance actions to tackle. Instead of focusing initially on work that seems easiest to complete, software solutions such as Honeywell Forge Performance+ for Aerospace can enable companies to first address those tasks with the highest impact on operations that improve productivity and decrease costly downtime.”

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