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Plant Governance Dashboard | TSRB Production Intelligence
Operational control system — not a KPI wallboard

Stop running your plant on alerts.
Run it on enforced governance.

The Plant Governance Dashboard converts exceptions (late jobs, quality hits, safety stops, maintenance risks, readiness failures) into governed work with explicit ownership, SLA enforcement, hard gates, proof-of-execution, escalation, and a learning loop.

Owner + authority + “done” definition SLA clocks + escalation ladder Gates that block ship/move/restart Proof + audit trail + learning updates
Governance Health
Exception → Work → Gate → Proof → Learning

SLA Adherence

Are owners responding on time?

94%
ack + contain

Verification Compliance

Are closures backed by proof?

98%
proof + signoff

Repeat Rate

Is the plant learning?

↓ 31%
pattern signature

Time to Containment

How fast do we stop the bleed?

42m
detect → contain
Hard truth: You can have green OEE and still be out of control. Governance measures whether the plant is enforcing, verifying, and improving.

Why governance wins when dashboards fail

Visibility tells you what happened. Governance makes sure the right person fixes it, the process prevents escapes, and the system learns so it happens less.

1

Alerts don’t create accountability

A notification isn’t ownership. Governance assigns a named owner (or role), starts the clock, defines “done,” and escalates when time is missed.

2

Warnings don’t prevent bad outcomes

A “red status” doesn’t stop a shipment. Governance applies enforceable gates that block ship/move/restart until requirements are satisfied.

3

Trust doesn’t pass audits

“We handled it” isn’t evidence. Governance requires proof-of-execution, verifier signoff when needed, and an audit log for every state change.

Positioning
The Plant Governance Dashboard is the plant’s operational command center.
Not a KPI wallboard. Not “more alerts.” It’s enforced operational law.

The governance engine

Everything follows a repeatable operational pattern that turns chaos into controlled execution.

Workflow model
0
Detection Events arrive from operators, IoT/MES, QMS, ERP conflicts, or rules/thresholds.
1
Classification Tag type, severity, scope (WO/lot/serial), operation context, and ship/escape risk.
2
Convert to governed work Create an Action Queue item with owner, SLA clocks, required actions, and proof rules.
3
Enforce gates Block move/ship/restart when policy requires. Escalate if time is missed.
4
Proof + verification Close only with evidence: measurements, photos, checklists, signoffs, system confirmations.
5
Learning loop Repeat/escape/systemic triggers force CAR + controlled updates (CP/PFMEA/SOP/routing/training).
Core pattern
repeatable • enforceable • auditable
Exception
Governed Work
Gate
Proof
Learning
Governed Work answers: Who owns it? By when? What’s “done”?
Gate answers: What is blocked until policy is satisfied?
Proof answers: What evidence makes closure auditable?
Learning answers: What standard changes prevent recurrence?
Critical rule: You cannot “close the symptom” without “closing the system.”

What you see on the dashboard

Each section exists to enforce control: prevent bad outcomes, drive execution with proof, and accelerate learning.

Plant Pulse
  • S
    SLA Adherence Percent responded/contained within required time.
  • V
    Verification Compliance Closures include required proof and signoff.
  • R
    Repeat Rate How often patterns recur (signals learning throughput).
  • T
    Time to Containment Detection → containment in place (median or P90).
Readiness & Gates

Enforceable constraints that prevent escapes and bad moves:

  • Q
    Quality holds / controlled shipping Block ship/move until disposition + authorization.
  • S
    Safety restart verification Restart is illegal until verification is complete.
  • M
    Maintenance do-not-run Hard constraint based on risk, PM overdue, or condition.
  • R
    Dispatch readiness Material/tooling/skill/first-article readiness enforced before release.
Key concept: If the system says STOP, the system must stop.
Exception Feed

Raw “what just happened” signals from machines, people, and systems. Events are inputs — not action lists.

  • Machine alarms / process OOC SPC triggers, downtime states, cycle anomalies.
  • Late order risks Dispatch conflicts, constraint overload, promise-date threats.
  • Scrap spikes / rework Abnormal losses and repeat signatures.
  • Missed inspections Control plan required checks and verifications.
Action Queue

The commanded worklist. Every card removes ambiguity:

  • 👤
    Owner Named or role-based with authority rules.
  • SLA clock Respond / contain / verify / close timers.
  • Gate status What is blocked until action/proof is complete.
  • 📎
    Proof required Data, photo, checklist, signoff, system confirmations.
  • Escalation Role ladder + broadcast when overdue.
Focus Drill-Down

The control room view. Click any queue item to run controlled execution:

  • Upstream/Downstream context Last op / next op visibility for containment alignment.
  • 🔒
    Linked gates Holds, inspection required, release required, safety restart.
  • Action checklist Role-specific “done” definition.
  • 🧾
    Audit log Who did what, when, with what proof.
Inspection → Release → CAR → Learning

Governance lanes that prevent escapes and enforce systemic improvement.

  • I
    Inspection Due/In progress/Pass/Fail/Review with strict sampling + results capture.
  • R
    Release Authorized roles only; reason + conditions + expiry for conditional release.
  • C
    CAR Stage-gated containment → root cause → PCA → effectiveness → close.
  • L
    Learning Loop Controlled updates to PFMEA/Control Plan/SOP/Routing/Training.

Built for how leaders actually run a plant

Governance aligns daily cadence across production, quality, engineering, and management—so the plant stays under control.

Shift Supervisor
  • Hourly Filter Action Queue by area/role; clear top overdue risks.
  • 📎
    Proof Ensure containment includes evidence before verification/close.
  • Flow Clear release bottlenecks; escalate stuck items.
Quality Supervisor
  • I
    Per shift Work Inspection & Release lane; disposition failures and MRB decisions.
  • Compliance Enforce verification rules; prevent “paper close.”
  • C
    Triggers Ensure repeat/escape thresholds open CAR automatically.
QE / CI Engineer
  • C
    Daily/weekly Drive CAR stages and systemic changes.
  • L
    Learning Update PFMEA/Control Plan/SOP/Routing/Training as governed work.
  • 📉
    Outcomes Reduce repeat rate, escapes, and time-to-containment.

Enforcement fabric: how “governance” becomes real

Governance must be enforceable—digitally, visually, and (when needed) physically. TSRB coordinates the enforcement path across your systems.

Human enforcement
  • 📲
    Mobile acknowledgement Push/SMS/email with required ACK + response capture.
  • Escalation ladder Time misses increase visibility and urgency, not just notifications.
  • 🧾
    Auditability Every action writes to an audit log with timestamps and actors.
System + visual enforcement
  • ERP
    ERP blocks Holds, ship/move restrictions, dispositions, status sync.
  • QMS
    QMS linkage Nonconformance, MRB, CAR objects tied to governed work.
  • TPM
    CMMS/TPM Do-not-run constraints and maintenance workflow synchronization.
  • AND
    Andon / big screens Broadcast gate state + ownership + timer for line visibility.
  • API
    APIs / webhooks Ingest events and publish gate outcomes to external tools.
Principle: If a gate exists in governance, it must be enforceable in the real process.
Live scenario demo
Quality hold → inspection fail → MRB conditional release → CAR → control plan update → effectiveness verification
See how one exception becomes governed work with gates, proof, escalation, and a closed learning loop—so recurrence drops.
Tip: Bring one real recurring issue (scrap spike, missed inspection, late risk, safety restart). We’ll map it into your rules, roles, and gates.

FAQ

Quick answers for operators, quality, engineering, and leadership.

Is this just another dashboard?

No. Dashboards show status. Governance enforces action: owner + SLA + escalation + gates + proof + audit trail + learning updates.

What makes a “gate” different from an alert?

An alert warns. A gate blocks a transition (ship/move/restart/dispatch) until policy is satisfied—inspection, release authorization, verification, or safety restart proof.

How do you prevent “paper close”?

Closure is disabled until required proof is attached, verification is complete (when required), and all linked gates are cleared—plus CAR/learning requirements if policy triggers.

How does Inspection → Release → CAR connect?

Inspection produces disposition (PASS/FAIL/REVIEW). Release is authorization (role-limited; conditional with expiry). CAR is the learning object that prevents recurrence and forces artifact updates.

Can it work with our ERP/QMS/MES?

Yes—via APIs/webhooks and database integrations. The key is enforcement: holds, ship/move blocks, dispositions, and synchronized state transitions.

What’s the fastest proof of value?

Pick one recurring pain: repeat defect, missed inspections, safety restarts, chronic late jobs. We wire the rules, gates, and proof requirements—then measure SLA adherence, repeat rate, and time-to-containment.

TSRB Production Intelligence
Operational control • Governance • Auditability • Learning loops
Next step: schedule a demo and bring one real exception you want governed end-to-end. Exception → Work → Gate → Proof → Learning