Juxtum Solutions Optimize Maintenance for an Aircraft Engine Manufacturer Using Condition-Based Monitoring
Customer Success
An aircraft engine manufacturer, headquartered in Cincinnati, Ohio, embarked on a journey to enhance its maintenance processes through the adoption of condition-based maintenance (CBM). Leveraging advanced sensor technology and innovative policies, the facility aimed to streamline operations, minimize downtime, and optimize resource utilization.
CHALLENGE
Before the implementation of CBM, the site relied on traditional maintenance practices, which often resulted in reactive repairs and costly downtime. Recognizing the need for a proactive approach, the facility management sought solutions to monitor equipment health in real-time and detect potential issues before they escalated.
SOLUTION
The first step in the journey towards CBM was the installation of Sensors with MT Connect® capabilities to standardize data across key machinery within the facility. These sensors provided real-time data on various operational parameters, enabling the team to gain insights into equipment performance and health.
RESULTS
Within minutes of sensor deployment, significant issues were identfied, leading to cost savings of $50,000 in repairs. This immediate return on investment demonstrates the potential of CBM in optimizing maintenance processes. Through the utilization of sensor data, the manufacturer swiftly identified critical issues within the machinery, allowing for prompt corrective action. This agile response not only minimized downtime but also reduced repair costs significantly.
POLICY DEVELOPMENT
Following the success of the initial implementation, the facility focused on developing comprehensive policies and triggers using a GUI-driven connectivity platform. These policies allowed for the automated monitoring of over 130 key parameters across various machines.
In less than a year, the aviation manufacturer has successfully implemented a robust CBM framework, enhancing operational efficiency and reliability.
STREAMLINED MAINTENANCE WORKFLOW
One of the notable advantages of the CBM system was its simplicity in operation. The integration of IF/THEN statements enabled the automatic generation of alerts and is used to triggered work orders directly, eliminating the need for manual intervention or coding.
This streamlined workflow empowered the operations team to respond promptly to maintenance requirements, further enhancing overall productivity.
LOOKING FORWARD
The aircraft engine manufacturer continues to explore opportunities for further optimization through CBM. The success of the initial phase has inspired the team to expand sensor deployment across additional machinery, with a focus on predictive maintenance strategies. By leveraging advanced analytics and machine learning algorithms, the facility aims to anticipate equipment failures proactively, thereby maximizing uptime and driving operational excellence.
The journey towards condition-based maintenance exemplifies the transformative power of data-driven decision-making in industrial settings. By harnessing real-time sensor data and innovative policy frameworks, the facility has not only minimized downtime and repair costs but also fostered a culture of proactive maintenance.
As the organization continues to embrace technological advancements, it stands poised to achieve new heights of operational efficiency and reliability in the ever-evolving manufacturing landscape.
