manufacturing equipment asset efficiency

Unlock Opportunities to Improve Machine Efficiency

Manufacturers today need to optimize their operations—from machine performance to processes—in order to increase their asset utilization, reduce capital costs, and cut inventory. With smart digital manufacturing solutions for connectivity, analytics, and training, your organization can reduce changeover times and eliminate unplanned downtime to drive increased OEE and lower CAPEX. 

All this is achieved through industrial IoT and augmented reality solutions for asset health monitoring, inefficient maintenance and changeover, and productions errors that lead to WIP inventory. PTC's solutions help our manufacturing customers achieve greater asset utilization and return on assets (ROA), including:

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Up to a 50%

-  INCREASE IN OEE

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Up to a 15%

-  CAPEX AVOIDANCE

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Up to a 50%

-  REDUCTION IN DOWNTIME

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Up to a 70%

-  DECREASE IN CHANGEOVER TIME

PTC  Solutions Capacity Utilization

Drive Improved Machine Efficiency Through Smarter Asset Management

Whether you’re struggling with excess WIP inventory, unwieldy changeover delays, or underutilized equipment, asset performance management insights can dramatically increase your factory efficiency. PTC delivers real-time asset performance monitoring and predictive analytics needed to drive enterprise asset efficiency improvements.

How PTC Helps Increase Machine Efficiency and Improve Asset Performance Management

See how PTC customers are improving asset efficiency and achieving their digital transformation objectives

Pactiv

Pactiv unlocked data buried in their production lines by leveraging PTC’s industrial IoT technology and manufacturing solutions to achieve greater operational efficiency.

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Brembo

Brembo streamlined their production line processes using PTC’s industrial IoT technology to automate data capture and unify IT-OT connectivity.

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LACROIX Electronics

LACROIX Electronics gained real-time visibility into their production processes while improving industrial data collection to identify root-cause analysis equipment failure and component defects.

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