Challenge 1
Multi-System Asset Lifecycle Tracking
Aerospace organizations track components, assemblies, and aircraft across complex lifecycles, from initial design and manufacturing through decades of operational service and maintenance. This data typically spans PLM systems for engineering, ERP for manufacturing and procurement, MRO platforms for maintenance planning, and various specialized systems for configuration management, airworthiness compliance, and service bulletins.
Industry practitioners note that maintaining consistent component identification across these systems can be challenging. A single part may be referenced by multiple identifiers such as design part numbers, manufacturing part numbers, supplier part numbers, serial numbers, and configuration codes. These variations can complicate efforts to trace component history, particularly when investigating safety issues or managing obsolescence across fleet operations.
Challenge 2
Supply Chain Complexity and Tiered Supplier Networks
Aerospace supply chains often involve thousands of suppliers across multiple tiers, with critical components requiring extensive qualification, monitoring, and traceability. Supplier data may exist across procurement systems for commercial relationships, quality management systems for performance tracking, engineering databases for approved materials and processes, and regulatory compliance tools for certifications and standards.
Organizations report that obtaining complete visibility into supplier capabilities, quality histories, and change notifications can require accessing multiple systems with different supplier identifiers and classification schemes. When supply disruptions occur or quality issues emerge, rapid assessment of alternatives and impact analysis may involve manual data gathering across disconnected platforms.
Challenge 3
Regulatory Compliance and Airworthiness Documentation
Aviation authorities (FAA, EASA, and others) require comprehensive documentation demonstrating continued airworthiness, including complete maintenance records, parts traceability, modification histories, and compliance with airworthiness directives and service bulletins. This evidence typically needs to be assembled from maintenance management systems, parts tracking databases, engineering change systems, and quality records.
Industry experience suggests that preparing documentation for regulatory audits or certification activities can require substantial effort to trace component lineage, verify maintenance compliance, and demonstrate proper change implementation. Incomplete or fragmented records, particularly for aging aircraft with complex service histories, can complicate these efforts.
Challenge 4
Engineering Change Order Impact and Propagation
Engineering changes in aerospace can affect multiple systems simultaneously including product designs in PLM, BOMs in ERP, manufacturing work instructions, maintenance procedures, illustrated parts catalogs, technical publications, and training materials. The high-stakes nature of aerospace operations means incomplete change propagation can create safety risks, airworthiness issues, or operational disruptions.
Organizations note that ensuring changes flow completely through all affected systems and stakeholders can be complex, particularly for modifications affecting aircraft already in service. Tracking which aircraft, components, or documentation packages have implemented specific changes may require consulting multiple systems and records.
Challenge 5
Maintenance Data Integration for Fleet Management
Effective fleet management and predictive maintenance require correlating data from diverse sources: real-time aircraft health monitoring systems (ACARS, engine diagnostics), scheduled maintenance records in MRO systems, unscheduled maintenance logs, parts consumption data, configuration status, and historical reliability patterns. Understanding component performance across fleets may also require comparing operational profiles, environmental conditions, and maintenance practices.
Industry practitioners observe that connecting these data sources can be challenging when systems use different aircraft identifiers, component numbering schemes, or temporal resolution. Data science teams working on predictive maintenance initiatives commonly report spending considerable time on data preparation and integration rather than model development, and lack of proper context can limit model effectiveness.
Challenge 6
Technical Publication and Knowledge Management
Aerospace organizations maintain extensive technical documentation: engineering drawings, maintenance manuals, illustrated parts catalogs, service bulletins, airworthiness directives, and training materials. This information may be stored across document management systems, PLM platforms, learning management systems, and specialized technical publication tools.
Organizations report that ensuring technical publications remain synchronized with actual aircraft configurations and current maintenance procedures requires ongoing coordination. Mechanics, engineers, and training personnel need access to correct, current information for the specific aircraft tail numbers or component serial numbers they're working with—which can be challenging when documentation systems aren't tightly integrated with configuration management databases.
