FAQ Category: capacity and quality management

  • How can MES help a small supplier respond to prime audits?

    An MES can help a small supplier respond to prime audits by making shop-floor evidence easier to find, link, and explain. It does not make the supplier audit-ready by itself, and it will not compensate for weak procedures, missing records, uncontrolled drawings, or poorly managed concessions. The practical value is reducing evidence hunting and making the relationship among work orders, revisions, operators, inspections, material lots, nonconformances, and approvals clearer.

    For small aerospace and defense suppliers, the biggest audit problem is often not that the work was never done. It is that the evidence is scattered across paper travelers, spreadsheets, ERP notes, inspection folders, email approvals, QMS records, and customer portals. MES can reduce that fragmentation if it is implemented with traceability and evidence retrieval in mind.

    Where MES commonly helps

    MES is most useful when a prime auditor asks for objective evidence tied to a specific job, part number, serial number, lot, operation, or operator. A well-configured MES can help show:

    • Which routing and work instruction revision was used for the order.
    • Who performed each operation and when.
    • Which inspection steps were completed, skipped, failed, or reworked.
    • Which material lots, batches, serial numbers, or kits were consumed.
    • Which equipment or tooling was used, where that data is captured.
    • Which nonconformances, deviations, MRB dispositions, or concessions were linked to the work.
    • Whether required approvals were captured before release or shipment.

    This can make an audit response faster and less dependent on a few experienced people who know where records are stored. It also helps reduce inconsistent answers between production, quality, and planning teams.

    It must coexist with ERP, QMS, and document control

    MES usually does not replace the systems a small supplier already relies on. ERP may remain the system of record for orders, inventory, costing, and shipments. QMS may remain the system of record for CAPA, supplier quality, formal nonconformance management, and audit findings. PLM or document control may remain the source for released drawings, specifications, and work instruction governance.

    In brownfield environments, MES should normally connect to these systems rather than force a full replacement. Full replacement is often unrealistic because of qualification burden, validation cost, downtime risk, integration complexity, traceability obligations, change control, and long equipment lifecycles. A small supplier should be careful not to create a second uncontrolled system of record that conflicts with ERP, QMS, or released engineering data.

    What primes usually care about

    Prime audits are not impressed by software alone. They typically care whether the supplier can show controlled, repeatable execution against contractual, engineering, and quality requirements. MES helps only if it supports that control.

    For example, MES may help demonstrate that operators used the correct instruction revision, that inspection data was captured at the required point in the process, and that nonconforming product did not quietly continue through production without disposition. But the underlying procedures still need to define what must happen, who can approve exceptions, how records are retained, and how changes are controlled.

    Common failure modes

    MES can create audit risk if it is implemented casually. Common problems include poor part and routing master data, uncontrolled work instruction changes, weak user access controls, missing e-signature rationale where required, incomplete integration with ERP or QMS, and unclear ownership of electronic records.

    Another common failure is digitizing a bad paper process without improving accountability. If operators still bypass steps, record results after the fact, or use informal workarounds, MES may only make those weaknesses more visible. That can be useful internally, but it may also expose process gaps during a customer audit.

    What a small supplier should prioritize first

    A small supplier does not need to digitize everything at once. The first scope should usually focus on high-risk or high-audit-value records, such as digital travelers, revision-controlled work instructions, required inspection capture, material and serial traceability, nonconformance links, and approval history.

    The implementation should also define how MES records map to the supplier’s quality procedures. Auditors will often ask how the electronic record is controlled, not just whether it exists. That means access control, audit trails, record retention, backup, validation or verification of intended use, and change control need to be addressed at a level appropriate to the supplier’s risk and customer requirements.

    Used well, MES gives a small supplier a more defensible evidence trail. It does not remove the need for disciplined quality management, trained operators, accurate master data, or clear ownership between production, quality, engineering, and IT.

  • How do we avoid quality degradation while increasing aerospace output?

    You avoid quality degradation while increasing aerospace output by treating output growth as a controlled process change, not as a scheduling target. In practice, that means proving where capacity exists, protecting critical-to-quality steps, controlling work instruction and configuration changes, and watching leading quality signals before committing to higher rates. More hours, more WIP, or faster takt can increase escapes if training, inspection capacity, material readiness, tooling, and system data are not ready.

    Start with the real constraint

    Rate increases usually fail when the plan assumes every operation can scale evenly. Aerospace production is often constrained by a few specific points: special processes, inspection, engineering disposition, test, tooling, supplier lead times, or experienced labor. Increasing release volume into the shop without clearing those constraints typically creates queues, expediting, substitutions, and undocumented workarounds.

    The first question should not be how much more work can be launched. It should be which process steps are capable, stable, staffed, tooled, and supported at the proposed rate. If the current process is not capable at the current rate, scaling it usually scales the defect pattern as well.

    Protect critical-to-quality work

    Quality controls should not be relaxed just to meet output targets. For aerospace work, the higher-risk areas are usually configuration control, special process parameters, torque and fit-up operations, inspection coverage, serialized part traceability, and nonconformance handling.

    Rate increases should preserve or strengthen controls around:

    • Current released drawings, specifications, routings, and work instructions
    • Operator qualification and training currency
    • Tooling, gage calibration, and measurement system capability
    • First article, delta FAI, or customer-required verification when changes occur
    • Inspection capacity and clear acceptance criteria
    • MRB, deviation, concession, and CAPA workflows

    Sampling changes, inspection reductions, or alternate methods may be appropriate in some mature processes, but they need documented justification, approval, and change control. They should not be treated as a simple capacity lever.

    Use systems to enforce discipline, not just report status

    MES, ERP, PLM, QMS, and maintenance systems all affect whether output growth is controlled. ERP and MRP may release demand, but MES or digital travelers should enforce the correct routing, revision, data collection, buyoff, and hold points. PLM should remain the source for released product definition. QMS should control nonconformance, CAPA, audit evidence, and quality records. Maintenance or EAM systems affect equipment availability and calibration-dependent processes.

    In brownfield aerospace environments, these systems are often mixed-vendor, partially integrated, and burdened by legacy data. Full replacement is usually unrealistic during a rate increase because of qualification burden, validation cost, downtime risk, integration complexity, traceability obligations, and long equipment lifecycles. A safer pattern is often targeted integration and control at the highest-risk execution points, with clear manual controls where automation is not yet reliable.

    Watch leading indicators, not only shipments

    Shipments and monthly output are lagging measures. By the time they look good or bad, the quality system may already be carrying hidden risk. Rate increases should be monitored through leading signals such as:

    • Scrap, rework, and repeat defect trends
    • Nonconformance aging and MRB backlog
    • Inspection queue time and first-pass yield
    • Training exceptions and temporary labor concentration
    • Tooling shortages, gage availability, and calibration exceptions
    • Supplier escapes, late material, and substitution pressure
    • Overtime, schedule churn, and expediting frequency
    • Maintenance deferrals and equipment downtime patterns

    OEE and throughput metrics are useful, but they are not enough by themselves. A plant can improve utilization while increasing rework, delaying dispositions, or pushing quality risk downstream.

    Common failure modes

    The most common failure mode is launching more work than the constraint can absorb. That creates excess WIP, priority changes, part shortages, and informal decisions on the floor.

    Another failure mode is assuming digital visibility equals process control. Dashboards can show backlog and defects, but they do not prevent the wrong revision, skipped verification, missing training, or unapproved deviation unless the execution process is designed to stop or flag those conditions.

    A third failure mode is treating suppliers as outside the rate plan. If supplier quality, inspection, receiving, and material planning are not included, internal rate improvements can be offset by incoming defects, late kits, or unplanned substitutions.

    What usually works

    The practical approach is staged rate growth with documented gates. Increase output in controlled increments, confirm process capability and quality signals at each step, and keep a clear rollback or containment plan. Use layered process audits, targeted error-proofing, operator feedback, and disciplined change control to detect degradation early.

    The exact controls depend on the product, customer requirements, regulatory context, process maturity, and existing system landscape. No software, staffing plan, or lean program can guarantee quality at higher rates. The organization still needs validated processes, competent people, reliable data, controlled changes, and enough inspection, engineering, and supplier capacity to support the new output level.