4.5 SPC & Dashboards
SPC and dashboards bring discipline to the production floor by turning raw process data into clear, real-time guidance. Instead of waiting for defects to surface, live charts track the vital signs of printing, placement, and reflow so small drifts are corrected before they escalate. The key is simplicity: a handful of metrics, split by family where it matters, presented in a way operators can act on without hesitation. With alarms tied to predefined corrections and every change logged against time and product, dashboards become a stable feedback system rather than a noisy distraction.
4.5.1 What SPC is (in factory words)
Statistical Process Control =(SPC) is the operational discipline that converts raw machine data into watchpredictive intelligence. By continuously charting the processvital while it’s runningsigns, not justof the partsSMT after.line, YouSPC pick a fewenables live signals, chart them simply, and agree what happens when they drift. The goal isn’t pretty graphs—it’s early, small corrections thatto keepprocess drift before defects fromever forming.occur. Dashboards are the visual interface for SPC, providing
4.5.1 SPC Fundamentals in Production
ThinkSPC ofinvolves itmonitoring key performance indicators (KPIs) to distinguish common cause variation (inherent, acceptable process noise) from special cause variation (a sudden, specific problem like a car:clogged nozzle or broken sensor).
SpeedometerProcess Control:→SPCSPIistransferaboutefficiency (are we printingcontrolling therightmeanvolume?(µ) and the variation (σ) of critical parameters like Solder Paste Transfer Efficiency (TE).FuelThelightGoal:→TheMounteraimstarvation/miss rates (are feeders aboutis tobitemaintainus?)Engineprocessestemp→ Reflow TAL/peak/ΔT (are we cooking the board right?)
If any gauge moves, you nudgein a knobstate of nowstatistical control, notensuring afterthat AOIthe screams.process is consistently
≥ 1.33) of meeting specifications (Chapter 4.1).
4.5.2 TheKey “few,Process vital” metricsMetrics (byBy station)Station)
StartEffective withSPC these.requires Addtracking morethe only"few, ifvital" theyparameters changethat decisions.predict downstream failure, rather than monitoring everything.
Station | Key Metric |
|
|
Printer (SPI) | TE | Predicts bridges, tombstones, | Immediate cleaning cycle |
Wipes/Board |
| Adjust cleaning | |
PnP |
|
|
|
Miss/Retry |
| Fix peel | |
Reflow | TAL / Peak Mean | Solder |
|
|
| Adjust blower speed | |
| False | Programming noise | |
| |||
4.5.3 SimpleDashboards chartsand thatAlarm operatorsTiers
Effective readdashboards use visual alerts to enforce a standardized response protocol. Every deviation must be tied to a documented action (the "if this, then that" playbook).
A) Visualization
- Control Charts: The I-MR (Individuals
&and Moving Range) chart is standard for tracking continuous data like SPI TE and Reflow TAL/peakPeak,pershowingpanel.the process mean (µ) and the variation (σ) over time. p-chartsTraffic Lights:forGreen/Yellow/RedAOIstatusfalseindicatorscalls/board.Runclearlychartscommunicate(sparklines)theforhealthstarvationofminutes,eachmisses/retries, wipes/board.parameter.
B) Alarm Tiers
KeepAlarms must be tiered to prevent nuisance alerts from overwhelming the visualsoperator, dumb-clear:ensuring trafficonly lightscritical (green/yellow/red),issues lasthalt 50 panels, and a vertical line labeled “change made” whenever someone tweaks a recipe or cleans optics. If people can’t read it at 2 meters, it’s too fancy.production.
4.5.4 Alarm tiers (decide once, use everywhere)
Tier |
|
| Management |
|
|
| No |
| 2 of 3 |
| |
Make the MES or line PC enforce this—humans forget when the line is hot.
4.5.5 Closing the loop (the “if this, then that” map)
Tie each dashboard needle to a small, specific action:
SPI TE low on chips (Cpk <1.0)→ reduce blade pressure one notchandshorten clean interval; recheck next 3 panels.SPI area creep near fine pitch→ slow separation 10–20%; if persists, wet+vac, then inspect apertures at next stencil spin.PnP miss spikes on Feeder 12→ verify peel path, run 20 dry picks; if still bad, swap feeder; quarantine reel lot.Starvation minutes climbing on constraint→ pull next splice earlier (countdown threshold), load spare pre-threaded feeder.TAL short on cold TC→ slow belt a touch (time first), then re-aim late zone by +3–5 °C.ΔT at peak > target→ add soak 10–20 s via mid-zone setpoints; tick blowers up one step.AOI bridges rising in one region→ check printer separation and cleaning; don’t widen AOI until print is fixed.AXI QFN voids trending up→ verify paste lot/date; lengthen soak slightly; consider N₂ A/B run.
These moves should be printed next to the screen. No guessing.
4.5.6 Roles & views (one dashboard does not fit all)
Operator view (per station):3–5 gauges, next-action button (“Add clean now”, “Check Feeder 12”), and clear pass/stop banner.Lead / Supervisor:line balance (cycle time per machine), red/yellow counts per hour, top 3 issues to clear this shift.QE/PE weekly:Cp/Cpk trend by family, escapes vs AOI/AXI limits, before/after of any recipe or stencil change.Management:OEE (Availability/Performance/Quality) plus first-pass yield. No microscope photos.
4.5.7 Make data trustworthy (plumbing that matters)
Everything gets an ID:recipe revs (printer/PnP/oven), stencil ID, paste lot, feeder IDs, operator badge, WO/panel/SN.One time base:all stations sync to the same clock so panel histories align.Auto-attach evidence:SPI/AOI/AXI images and reflow plots stored against thepanel ID; no screenshots in chat apps.Annotate changes: pressing “changed belt speed +5 mm/min” drops a vertical line and a note on charts.
4.5.8 Start small (a rollout that sticks)
Pickone productand wireSPI TE Cpk,wipes/board,PnP misses,TAL/peak,AOI false calls.Agree alarm tiers and thefirst corrections(Section 10.5.5).Run two weeks; collect “we touched X, chart did Y” stories.Freeze the layout; clone to the next product with only limit tweaks.
4.5.9 Common traps (and quick escapes)
Too many charts.Result: no one looks. Trim to the five that drive actions.Alarms with no playbook.Result: people mute them. Add the button that does the first fix.Averages across families.Result: masked trouble. Always split byfeature family(chips/QFN/BGA/thermal).Goal-post moving.Result: pretty charts, bad product. Change theprocess, not the spec, unless customer agrees.
4.5.10 Pocket checklists
Designing the dashboard
5–7 metrics total; split by feature family where relevantGreen/Yellow/Red bands defined;MESenforces Stop tierOne-clickrecommend first correctionper(e.g.,alarm"Wipe Stencil Now").
Supervisor enforces immediate corrective action.
DailyRed use(Stop)
Any Operatorsdata clearpoint warns withexceeds the buttonedSpecification action;Limit notes(USL/LSL) auto-loggedor a sustained violation of the Cpk floor.
Hard stop of the line, mandatory engineering sign-off to resume.
Open Non-Conformance Report (NCR) and conduct root cause analysis.
4.5.4 Closing the Loop (The Corrective Cycle)
The primary function of the SPC system is to enable the closed-loop feedback that drives continuous process improvement.
- Detection: An alarm tier (Yellow or Red) is triggered by a metric drift (e.g., SPI TE µ drops 5 points).
- Correction:
LeadsreviewThetopoperator3executesissuestheatpredefinedbreak;FirstassignCorrectionquick(e.g.,fixesincrease squeegee speed slightly). This must be a simple, single-parameter fix. - Annotation:
QEsamplesTheescapesactionvstakenAOI/AXIisandautomaticallyfeedsloggedbackagainsttotheprocesstime/productifontrend Anychart,recipe/stencilcreatingchange =a vertical line+labeledcomment"Process Change." This logging is critical for auditing the process.- Verification: The system monitors the next 3–5 panels to verify the correction successfully brought the mean back toward the center without increasing the variation.
- Engineering Fix: If repetitive corrections fail, the issue is deemed Special Cause (e.g., worn stencil, faulty feeder) and requires Engineering/Quality approval to implement a permanent solution, which updates the Golden Recipe.
Changethe control
Final Checklist: SPC Implementation
Requirement | Control Point | Management Focus |
Metrics | Select and track the fewest possible predictive metrics (TE Cpk, TAL/Peak, Miss Rate). | Prevents data overload; ensures focus on |
Action Plan |
| Eliminates human guessing and wasted time during drift events. |
Data Integrity | All machines must sync to a single time base; every touch and recipe change must be auto-logged and annotated on charts. | Ensures data is trustworthy for root cause analysis. |
Visualization | Dashboards use simple control charts and traffic lights that clearly show the control limits. | Promotes immediate, effective operator response. |