Utilizing Process Mining to excel in Aviation MRO
Bridging Data Science and Process Optimization with Emerging Innovations in MRO Services
This paper presents compelling insights into the specific challenges faced in MRO environments, highlighting the transformative potential of process mining on optimizing operations. Key areas of focus include the integration of real-time data analytics to optimize the ordering of parts and engines, enhance core MRO processes, and develop predictive maintenance models to tackle challenges related to inventory management. Additionally, the paper explores the evolution towards proactive maintenance strategies, including staff forecasting.
The airline Maintenance, Repair, and Overhaul (MRO) sector is navigating an increasingly complex landscape characterized by significant commercial, geopolitical, and operational challenges. As global air travel continues to recover post-pandemic, MRO operators are under pressure to meet the rising demand for maintenance services while managing escalating costs, supply chain disruptions, and regulatory compliance requirements. In addition to these changes, the MRO sector is confronted with the following challenges:
- Commercial: Rising operational costs and complex logistics
- Geopolitical: Geopolitical tensions and trade restrictions
- Workflow & procedural: Changing supply chains and unpredictable demand
These challenges underscore the need for more efficient and responsive operational strategies. Process mining, a tool that leverages data to optimize and streamline processes, offers a promising solution to many of these challenges. It can help to improve the availability of spare parts and ensure on-time provision for maintenance activities.
How does Deloitte’s Process Mining practice approach these challenges?
Process mining offers a variety of potential solutions to these challenges by enabling MRO operators to analyze and optimize their processes based on actual data flows. By applying process mining techniques, operators can identify bottlenecks, streamline resource allocation, and improve supply chain visibility, ultimately reducing downtime and ensuring that parts are available when and where they are really needed - right in time and respective quantity.
Deloitte integrates process analytics and optimization in their field of Technology and Business Transformation. What sets Deloitte apart is its deep industry and process expertise in the aviation area, synergistically combined with dedicated data-engineering skills and expertise.
Deloitte Consulting established an integrative consulting and delivery approach that consists of two main solution areas:
- Process Analytics as a Managed Service
- E2E Process Optimization
To deliver the client value in short amount of time, the combined approach includes the implementation of Process Mining solutions like Celonis extended with market-leading automation tools like UiPath and ServiceNow. By leveraging these tools, organizations can capitalize on identified automation opportunities and ensure that the most impactful tasks are automated, driving significant operational improvements.
In the fast-paced aviation industry, particularly within Maintenance, Repair, and Overhaul operations, process mining emerges as a crucial technology for enhancing operational efficiency and reducing costs. This paper highlights the transformative potential of process mining in tackling the complex challenges faced by MROs and can ultimately help to minimize aircraft downtime. By leveraging real-time data analytics and predictive maintenance models, process mining enables organizations to uncover inefficiencies, optimize workflows and even anticipate part replacement needs, thereby ensuring smoother operations.
Download the paper here to gain further insights into process mining in aviation MRO.
