Streamlining Airlines MRO Operations with Predictive Maintenance

  • February 3rd, 2020

In the face of heart-wrenching airplane crashes, maintaining flight safety has become a global priority. Optimizing Maintenance, Repair, and Overhaul (MRO) operations is the key to preventing such calamities and cutting significant MRO costs.

Predictive maintenance presents a highly cost-efficient opportunity to streamline MRO. By predicting the need for repair and maintenance, it preempts the loss of revenue from grounding, non-flying hours, and futile scheduled maintenance operations.

Just as airlines were losing faith in the implementation of predictive maintenance, we helped one of the world’s leading airlines:
• Improve the quality of their existing data
• Double the accuracy of models that predicted error logs
• Create a rule-based engine to prevent recurring logs by 6-10%
• Prioritize alerts based on their severity to schedule MRO

Download the case study to know more

« Previous

Management Reporting for a Large Food Products Manufacturing

Data-driven decision making is no longer an enabler, but a core competency for every organization doing business in the AI era. To enable this, a large food products manufacturer wanted to create a granular reporting framework by leveraging cloud and to move away from complex legacy systems.

Next »

Turbocharging Supply Chains with High-Quality Data (DaaS)

An unstructured and siloed data lake and error-prone data pipelines were impeding the supply chain operations of a renowned food products manufacturer. They approached Mu Sigma to engineer a data architecture that would serve as a resilient backbone for their supply chain.