Quality Performance
Corrective Action Queue
Presents a prioritized queue of corrective and preventive actions ranked by quality risk, regulatory exposure, and closure urgency. The top summary quantifies queue load, overdue burden, and projected defect-risk reduction if queued actions are completed within SLA. The main grid lists each action with deterministic next-step guidance, owner assignment, due date, verification status, and linked defect context. A side breakdown groups actions by intervention class such as process parameter update, tooling change, operator retraining, supplier escalation, or inspection plan revision. Users can filter by plant, severity tier, and CAPA stage to support daily quality standups and weekly governance reviews. Expected outputs include an owner-routed action register, due-date compliance tracking, and a deterministic execution calendar for high-risk actions.
Defect Source Drilldown
Enables targeted drilldown from aggregate defect rates into source-level diagnostics by line, station, shift, variant, and defect category. The top summary panel reports defect volume, normalized defects per thousand units, escape rate, top-source concentration, and open-item burden for fast triage. The center combines a ranked source queue, a station-by-shift heatmap, and a source table so review teams can isolate repeatable failure modes instead of one-off noise. A concentration-risk module highlights dependency on specific tools, operators, and lots, clarifying where intervention should occur first. Users can filter by plant, shift, severity, and open status, and they can log a new source finding into the managed workbook table to support deterministic weekly root-cause sessions. Expected outputs include a prioritized defect-source queue, owner-assigned containment tasks, and a reproducible set of verification checks for subsequent review cycles.
Quality Performance Overview
Provides a deterministic quality review dashboard with KPI cards for first-pass yield, defects per thousand units, return rate, corrective-action closure rate, and cost of poor quality. The top controls let users filter by plant, product family, and open-risk status while preserving seeded outcomes until live workbook rows arrive. The central charts compare defect trends, defect-category mix, and cost-of-poor-quality concentration so review teams can distinguish chronic process drift from site-specific spikes. A ranked risk watchlist highlights the most urgent findings with owner, status, and intervention context, and the operating review table exposes the filtered source rows driving every summary number. Users can add a new quality finding into the managed table to exercise the same dashboard calculations and review workflow deterministically in preview mode.
Rework Cost Analysis
Quantifies rework cost burden by defect type, line, shift, and product family, linking quality losses to labor, scrap, downtime, and expedited handling components. The dashboard combines cost composition cards, trend lines, and defect-cost Pareto views so teams can focus on the few failure modes driving most financial impact. A margin-impact panel translates rework burden into gross margin erosion, supporting cross-functional prioritization with operations and finance. Users can filter by period, plant, and defect cluster while keeping deterministic seed rows for reproducible budget and intervention discussions. The workflow is designed for monthly cost-of-quality governance sessions that require traceable assumptions and owner-accountable mitigation plans. Expected outputs include a ranked high-cost defect list, cost-driver decomposition, and deterministic savings scenarios tied to corrective action completion.
SPC Signal Explorer
Explores statistical process control signals across critical quality characteristics, combining control-chart trend review, rule-family filtering, and rule-hit summaries so quality leaders can pinpoint when and where process stability changed. The dashboard keeps deterministic seed rows visible until workbook data arrives, then hydrates the managed SPCSignals table through bf.getRows and bf.onTableSync updates. Users can narrow the review by characteristic, line, shift, rule family, rolling window, and signal-only mode, and they can log a new signal row with characteristic-specific control limits directly into the workbook for repeatable investigations. The center panel compares measurements against averaged target, UCL, and LCL values, while the companion rule summary highlights which special-cause families are driving the current scope. Expected outputs include a ranked out-of-control signal list, likely-cause hypotheses, and deterministic verification checks tied to process owners.
Supplier Quality Breakdown
Breaks down supplier quality performance across incoming defect rates, lot acceptance outcomes, response timeliness, and corrective action effectiveness. The top section provides supplier scorecards with deterministic quality, delivery, and responsiveness indicators for standardized quarterly business reviews. The center section compares suppliers by component family and defect category, revealing where quality exposure is concentrated by source. A remediation module tracks supplier-issued corrective actions, closure timeliness, and verified post-action defect improvement. Users can filter by supplier tier, component class, and severity band to support focused escalation and sourcing decisions. Expected outputs include a ranked supplier risk table, an intervention shortlist, and a deterministic evidence pack for supplier governance meetings.
Yield Variance Diagnostics
Provides a deterministic yield variance review dashboard for manufacturing quality leaders, process engineers, and line owners who need to compare actual yield against annual plan, latest forecast, and prior-period baselines. The dashboard includes plant, line, family, shift, benchmark, and materiality filters that suppress low-impact rows so review sessions stay focused on the most material misses or gains. A driver bridge summarizes weighted material quality, setup adherence, machine drift, and reinspection impact, while the line comparison chart shows actual versus benchmark yield in the current scope. The filtered variance table exposes the source rows behind each summary, including owner, status, benchmark comparison, and driver totals. Users can also log a new yield variance review row into the managed workbook table to exercise the same deterministic calculations during preview and recurring quality governance meetings.