Industry Overview
The aviation and aerospace industry spans a broad range of operational domains — from the maintenance, repair, and overhaul of commercial aircraft to the manufacture and supply of certified aircraft parts, and the design and development of unmanned, high-Mach and hypersonic aircraft for government and national security missions. Across all these domains, the industry is governed by strict safety, engineering, and regulatory standards defined by authorities such as the Federal Aviation Administration (FAA), which mandate detailed inspection, repair, certification, and manufacturing procedures to ensure airworthiness and operational integrity at every stage.
Precision and traceability are foundational requirements across the industry regardless of operational focus. Parts used in aviation and aerospace operations — whether manufactured, repaired, or sourced as certified alternatives to original equipment manufacturer (OEM) components — must meet exacting compliance standards throughout their lifecycle. The conditions under which aircraft operate, from the continuous service cycles of commercial aviation to the extreme thermal, structural, and propulsion demands of advanced defense aircraft, define the engineering and material standards that every organization in the industry must meet without exception.
Operational Complexity
Operating in the aerospace maintenance industry involves significant complexity. The US aviation market is highly regulated and capital-intensive, where precision, traceability, and adherence to approved procedures are critical. The parts repair and maintenance must be performed in accordance to the FAA guidelines that demands end-to-end component traceability up to lot level accompanying legal forms and certifications through all the operations.
In addition to regulatory complexity, time is a critical factor. When an aircraft parts undergo maintenance or repair, the aircraft remains grounded until the work is completed. During this period, it not only stops generating any operational revenue but also incurs a repairing & maintenance cost. For airlines and operators, extended maintenance cycles directly translate into revenue losses. As a result, MRO providers must execute repair activities within tight turnaround timelines while maintaining strict compliance.
Existing System Lacunae
In this organization’s case, several core maintenance processes were supported through spreadsheets, manual workflows, and disconnected tools, indicating systemic limitations rather than isolated operational gaps. Planning repairs, managing inventory allocation across repairs, and tracking operation-level execution across multiple teams required frequent coordination among cross-functional teams.
This often led to delays in repair initiation and misalignment between inventory availability and job requirements. As the scale and complexity of operations increased, it became increasingly difficult to maintain visibility into repair statuses, inventory availability, and operation-level progress, impacting turnaround timelines and overall operational control.
Unified Maintenance & Repairs Management
These lacunae had a direct impact on operational efficiency. Repair jobs were delayed as planners and warehouse teams spent hours reconciling data across systems. Without a unified platform, maintaining standardization across parts requiring similar kinds of repairs was challenging, and the inability to track job progress in real time reduced the organization’s ability to manage turnaround timelines effectively, which directly affected its ability to return aircraft parts to service within expected timeframes.
A bespoke MRO solution was built by leveraging the open-source Apache OFBiz platform to address these needs. The solution was developed by extending the manufacturing capabilities of Apache OFBiz to align with maintenance workflows, enabling repair jobs, material requirements, and operational processes all to be managed within a single system. This transition improved parts’ repair and maintenance turn-around time significantly which in turn ensured that aircraft parts remained operational in flight for most of the time through its life.
Traveler-Based Work Order Management
In aviation and aerospace operations, a traveler defines the set of instructions that includes the sequence of operations, material requirements, authorization sign-offs, and documentation needed to complete a repair or assembly job. Work orders are executed against these travelers, with associated certifications and documentation maintained throughout the job lifecycle.
Due to the lack of such capabilities within the legacy system, workflows needed to be configured manually for each job. The sequence of operations, required materials, and work instructions were not standardized, with sign-offs, buy-offs, and job documentation relying on manual processes outside the system. Bill of Materials management was similarly limited, with no formal mechanism to attach and manage material requirements directly against a work order record. This resulted in variations across similar jobs, increased fault rates, and introduced compliance risk in a regulatory environment where every step of the process must follow documented procedures.
The standard manufacturing constructs of Apache OFBiz were extended to support traveler-based work order execution. Concepts such as routing and operations were leveraged to define reusable travelers for different parts, and during job performance, the system automatically deployed the traveler for the repaired or assembled part, inheriting the defined steps, required materials, and work instructions. A dedicated section was added on the work order profile page for managing job travelers, with support for sign-offs, buy-offs, sequence-ordered operations, ticket issuance, Bill of Materials attachment, and document uploads. Bulk BOM upload via CSV import was introduced in the work order creation screen, and support for by-products was added to account for secondary outputs generated during the process.
Dependencies Between Multiple Operations
Maintenance workflows involved dependencies between multiple operations, where certain operations could begin only after the completion of others. In several scenarios, operations within a repair job were also dependent on the completion of operations in other related jobs.
Due to the lack of such capabilities within the legacy system, teams relied on manual tracking and coordination to maintain operation sequences.
This approach increased reliance on manual follow-ups on the shop floor and made it difficult to consistently ensure that operations were executed in the correct order. As dependencies became more complex across jobs and workflows, delays in initiating dependent operations became more frequent, impacting overall completion timelines and reducing delivery predictability.
Apache OFBiz’s in-built support for managing dependency-driven execution of operations and jobs was further customized. Operations were pre-configured with defined dependency relationships through travelers, enabling the system to control the sequence in which tasks became available for completion. This logic was applied both within individual jobs and across interrelated jobs, allowing dependencies to be managed centrally within the system. By tracking the status of each operation and governing task readiness, the solution reduced the need for frequent follow-ups, ensured adherence to defined workflows, and enabled more reliable completion of interdependent repair processes.
Attribute-Based Inventory Promising
Material requirements in aircraft component repair were inherently variable and often depended on the actual condition of the parts being serviced. While certain materials could be planned in advance, additional requirements frequently emerged during active repair. This created a need to define governing attributes that could be parameterized to support attribute-based inventory promising, where material selection had to align with specific characteristics such as part condition, ownership, certification status, and compatibility.
In the absence of system support for attribute-driven allocation, selecting the wrong material variant for a repair job — one that did not meet the required condition or certification — risked halting the job mid-execution, causing faulty repairs, requiring rework, or introducing compliance risk if non-conforming materials were inadvertently used. Each of these events extended job completion timelines and prolonged aircraft grounding time.
The standard bill of materials and inventory promising features within Apache OFBiz were repurposed to support both dynamic material forecasting and attribute-based allocation. The system matched materials with the specific requirements of each repair job rather than relying on manual selection of appropriate lots. This ensured that inventory was automatically allocated to repair jobs based on required conditions and specifications, improving accuracy and control in material usage.
Inventory Visibility and Material Movement Traceability
Under the legacy solution, inventory required for repair jobs was not systematically reserved, creating a risk where materials intended for one job could be used by another. This introduced uncertainty in material availability during active jobs and led to operational conflicts on the shop floor. In parallel, warehouse operations lacked systematic tracking — materials were picked and moved to maintenance workstations without clear visibility into who performed the action, when it occurred, or whether the materials had reached the intended destination.
This limited control and traceability made it difficult to ensure that the right materials were available at the right time for the right job, often increasing the overall time required to complete maintenance activities and contributing to higher operational costs.
To address this, inventory movement tracking was introduced for material transfers across locations. The system captured and recorded details such as lot number, location, time, and responsible individual, ensuring that audit trails were maintained for each stock movement within the facility. It also ensured that component inventory allocated and committed to specific repair jobs was consumed within the same job.
Warehouse processes were formalized through system-generated picklists and end-to-end material movement tracking. The solution provided visibility into the flow of materials from storage locations to maintenance stations, capturing key events such as picking and delivery. This improved control, enhanced traceability, and enabled more effective coordination between warehouse and maintenance teams.
Requirement Planning and Operational Visibility
Maintenance job planning, inventory management, and job performance were managed in silos across disconnected environments, with no unified mechanism to align operational decisions in real time. Scheduling required continuous manual cross-referencing of inventory availability, open procurement orders, and inbound supply, making it difficult to maintain accuracy in scheduling decisions. The absence of synchronized data across these functions meant that planners frequently worked with outdated or incomplete information, increasing the risk of scheduling jobs without confirmed material availability.
This misalignment between planning and execution had a direct operational impact — jobs were initiated without all required materials being available, leading to interruptions mid-execution and contributing to extended repair turnaround times.
To address this, an integrated solution was implemented by leveraging and customizing the material requirements planning engine of Apache OFBiz to connect planning, inventory, and fulfillment workflows within a unified system environment. As a result, job scheduling was aligned with inventory availability and open order data, enabling planners to make informed decisions based on accurate and up-to-date information. The system ensured that demand and supply, inventory reservations, and operational cycle times were considered across functions when making ‘Buy’ versus ‘Make’ decisions. This led to a reduction in planning errors, lower inventory carrying costs, and improved inventory turnover.
Kit Assembly and Work Order Execution
Kit assembly in aerospace manufacturing involves grouping and assembling a defined set of parts into a finished kit. This differs from standard production work orders in inventory behavior and execution flow, requiring a distinct process for managing how parts are consumed and how assembly activity is tracked at the facility level.
The legacy system offered limited support for kit assembly workflows. Inventory consumption upon assembly completion required manual deduction, and assembly activity could not be tracked against a designated facility location within a single system.
The manufacturing capabilities within Apache OFBiz were leveraged to support a dedicated Kit Work Order workflow. A separate screen was developed for kit work orders, distinct from the regular work order interface. Two kit work order types were supported: Build and Consume. Upon completion, inventory was automatically consumed through a backflushing mechanism, eliminating manual inventory deduction after assembly. Facility locations were made assignable to work orders, enabling tracking of assembly activity at a specific location within the facility.
Summary
This case study highlights how complex maintenance operations in the aerospace MRO space can be managed through a structured and integrated system approach. By consolidating planning, execution, inventory, and procurement processes, the solution enabled greater operational alignment and improved control across interdependent repair workflows.
By leveraging and extending the core constructs of Apache OFBiz, the system was tailored to support maintenance-specific requirements such as standardized workflows, dependency-driven execution, attribute-based material allocation, and end-to-end operational tracking. This ensured that all the critical processes were managed within a single system rather than across fragmented tools and systems.
The result is a scalable and adaptable foundation that enhanced visibility, improved coordination across teams, and strengthened control over maintenance operations. This case also reflects HotWax Systems’ expertise in building custom supply chain and operational solutions using open-source technologies such as Apache OFBiz and Moqui, supporting organizations across industries, including aerospace and MRO, in aligning systems with their business processes.
