How Aurora Can Optimize B-52 Aircraft Maintenance Scheduling

The maintenance, repair, and overhaul (MRO) of the B-52 fleet presents a beneficial application for Aurora’s intelligent scheduling and resource optimization capabilities. Aurora could be used to more correctly model B-52 depot and field maintenance operations, optimize the allocation of constrained maintenance resources, and dynamically adjust schedules as conditions change during execution.

The objective would be to optimize B-52 maintenance scheduling and execution processes in order to improve overall aircraft readiness, reduce depot flow days, minimize non-mission-capable (NMC) time, and reduce the duration of phase maintenance. This could improve maintenance throughput and operational efficiency through more effective utilization of labor, facilities, equipment, and other constrained maintenance resources. 

Modeling B-52 Maintenance Operations

Applying Aurora to B-52 maintenance would first require an accurate model of the operational conditions that determine when and how maintenance work can occur.

Operational factors that can be modeled include:

• Programmed depot maintenance (PDM)
• Phase maintenance operations
• Unscheduled maintenance workflows
• Labor resources
• Shift structures
• Tooling limitations
• Facility constraints
• Maintenance dependencies
• Material availability considerations
• Other B-52 maintenance specific constraints

The goal would be to establish a realistic digital representation of maintenance operations that can be used for project execution optimization, while increasing project understanding / transparency. These factors can then be incorporated directly into Aurora’s scheduling decisions rather than handled outside the schedule or addressed manually during execution.

Optimizing Maintenance Flow and Resources

With the maintenance environment represented in Aurora, its constraint-based scheduling, heuristic optimization, and resource optimization capabilities could be applied to reduce maintenance flow time, identify and mitigate bottlenecks, improve maintenance sequencing, and make more effective use of available resources to maximize throughput.

Planners could also use what-if analysis to evaluate alternative maintenance strategies. For example, Aurora can examine the schedule impact of a critical resource becoming unavailable, additional personnel becoming available, a maintenance activity taking longer than expected, or an inspection identifying additional required work.

As maintenance execution progresses, Aurora can incorporate changes and dynamically recalculate the schedule while accounting for operational priorities and existing constraints.

Analyzing Schedule Risk and Scheduling Decisions

Aurora’s Monte Carlo risk analysis capabilities can be used to evaluate uncertainty in task durations, resource availability, supply disruptions, emergent maintenance findings, and other factors affecting maintenance completion. Sensitivity and schedule analysis can help identify the activities, resources, and operational conditions that have the greatest effect on schedule performance.

Aurora also provides schedule explainability. The system captures information about why scheduling decisions were made, allowing users to better understand maintenance bottlenecks, resource conflicts, and schedule drivers.

Requirements for a Successful Deployment

A successful B-52 maintenance deployment requires access to relevant maintenance data, input from subject matter experts, and integration with appropriate maintenance, logistics, personnel, and readiness systems so that Aurora can accurately model and support ongoing operations.

Gathering and incorporating these types of operational inputs is a familiar part of deploying Aurora in complex scheduling environments. Aurora was originally developed for NASA to support Maintenance, Repair, and Overhaul (MRO) scheduling for the Space Shuttle program and has since been applied in complex aerospace, defense, naval, manufacturing, and space environments, including MRO at Boeing, General Dynamics Electric Boat submarine production, and satellite operations scheduling for the U.S. Space Force.

This experience provides a strong foundation for applying Aurora to the complex scheduling requirements of B-52 maintenance, resulting in significant increases in maintenance throughput with all its associated benefits such as increased aircraft availability. To learn how Aurora could be applied to your maintenance or other complex scheduling environment, fill out the form below to request a free demo.