Decision Center

Module 22 · Version 12.0

Decision Intelligence Center™

Turning enterprise data into better decisions. Every asset answers nine questions: what happened, why, who it affects, what risks and opportunities exist, what should happen next, who owns it, when, and how success is measured.

Factory · Greenville Turbine Works — health 91Wind Farm · North Sea Wind Cluster — health 88Hospital · Mercy Regional Imaging Network — health 86Airport · Heathrow Fleet Operations — health 89Warehouse · Rotterdam Distribution Hub — health 81Supplier · Tier-1 Casting Alliance — health 76Factory · Greenville Turbine Works — health 91Wind Farm · North Sea Wind Cluster — health 88Hospital · Mercy Regional Imaging Network — health 86Airport · Heathrow Fleet Operations — health 89Warehouse · Rotterdam Distribution Hub — health 81Supplier · Tier-1 Casting Alliance — health 76

0

NI Score

Enterprise Health Score

Eleven dimensions, one number the board can act on.

Global command center

NarrativeOperationalFinancialCustomerSupplierEmployeeCommunityInnovationRiskESGTrust
  • Narrative Intelligence96+2.4

    Every reported KPI now ships with a human story.

  • Operational Health91+1.1

    Unplanned downtime at a seven-quarter low.

  • Financial Health88+0.6

    Cash conversion steady; service margin expanding.

  • Customer Health87+3.2

    Renewal intent up across all three units.

  • Supplier Health79-1.8

    Two tier-2 casting suppliers under watch.

  • Employee Engagement84+1.9

    Night-shift attrition down after crew redesign.

  • Community Impact93+2.7

    Grid reliability lifted in 41 served regions.

  • Innovation Score82+0.9

    Fleet-learning models now cover 68% of assets.

  • Risk Score74-2.2

    Weather and logistics exposure rising this quarter.

  • ESG Score89+1.4

    Scope-1 intensity down 11% year on year.

  • Trust Score90+1.6

    Regulator and community sentiment both positive.

Digital Twin™ — factories, wind farms, hospitals, airports, warehouses, suppliers

Live enterprise digital twin — click an asset to open its decision file.

Advanced GE manufacturing floor at night with robotic assembly arms and a technician

Factory

Greenville Turbine Works

Bengaluru plant, night shift — every machine here is somebody's livelihood.

The decision file

What happened

First-pass yield hit 96.4% — the best month on this line since it opened.

Why it happened

A revised torque sequence plus vibration-model alerts caught 61 rework causes before assembly.

Who it affects

1,240 line employees, 9 downstream utilities, 4.1M households served by the turbines built here.

Asset health

91

Decision matrix

First-pass yield

96.4%

-6-5-4-3-2-1Now
Actual (%) Target
Current 96.4 %Target 97.5
Variance
-1.1 %
Forecast
97.1 %
Confidence
88%
Owner
Dana Whitfield · VP Manufacturing
Deadline
30 Sep
Expected ROI
$14.2M avoided rework over 12 months

Risk · Casting variance from a tier-2 supplier could reverse two points of gain.

Opportunity · Replicating the torque sequence on Line 3 adds an estimated 1.4 points.

Recommended · Qualify a second casting source and port the torque sequence to Line 3.

Human impact — 61 fewer rework nights — crews go home on the shift they were rostered for.

Business impact — Frees 9 delivery slots, protecting two utility commissioning dates.

Unplanned downtime

18hrs/mo

-6-5-4-3-2-1Now
Actual (hrs/mo) Target
Current 18 hrs/moTarget 12
Variance
6.0 hrs/mo
Forecast
14 hrs/mo
Confidence
81%
Owner
Marcus Oyelaran · Plant Reliability
Deadline
12 Oct
Expected ROI
$3.8M protected output

Risk · Two press bearings are inside the predicted failure window.

Opportunity · Bearing swap during the planned October stop costs 0 extra downtime.

Recommended · Bundle the bearing replacement into the scheduled October outage.

Human impact — No emergency call-outs at 3am for the maintenance crew.

Business impact — Keeps Q4 turbine deliveries on the committed schedule.

AI decision engine — one KPI, thirteen audiences

Yield is at a record and downtime is halved year on year; the constraint is now supplier casting variance, not the line.

Executive summary · Greenville Turbine Works

What happens next?

Immediate

Freeze the torque sequence as the standard and publish it to Line 3.

Team · Manufacturing Engineering

Cost · $40K

Benefit · Locks in 1.4 yield points

7 days

Complete inbound CT scanning trial on incoming castings.

Team · Quality

Cost · $120K

Benefit · Catches variance before assembly

30 days

Sign a second casting supplier and start qualification builds.

Team · Supply Chain

Cost · $1.1M

Benefit · Removes single-source exposure

90 days

Port alerting and torque control to Lines 3 and 4.

Team · Reliability + MFG Eng

Cost · $2.4M

Benefit · $21M annualised avoided rework

1 year

Fleet-wide closed-loop process control across all US turbine plants.

Team · Global Operations

Cost · $9M

Benefit · Two points of margin, plant-agnostic

Risk engine — likelihood × impact

Likelihood →↑ Impact
Supplier Risk
Manufacturing Risk
Quality Risk
Weather Risk

Mitigation and recovery

Supplier Risk

High

Likelihood 42% · Impact 78% · Recovery 6 weeks

Qualify second casting source; hold 3 weeks of buffer stock.

Manufacturing Risk

Medium

Likelihood 28% · Impact 62% · Recovery 2 weeks

Bearing replacement inside the October outage window.

Quality Risk

Medium

Likelihood 19% · Impact 71% · Recovery 4 weeks

Tighten casting tolerance band and add inbound CT scanning.

Weather Risk

Medium

Likelihood 31% · Impact 44% · Recovery 3 weeks

Pre-stage hurricane-season inventory at the inland warehouse.

Executive playbook

Current situation — Yield is at a record, but a single casting supplier now caps further improvement.

Root cause — Casting dimensional variance of ±0.14mm forces compensating rework at assembly.

Financial analysis — Dual-sourcing pays back in 5.2 months at current rework rates.

Human analysis — Eliminates the rework nights that drove Line 2 attrition to 14% last year.

Environmental analysis — Cuts scrapped castings by 340 tonnes a year — foundry energy avoided upstream.

Recommendation

Dual-source now, run CT screening as the bridge, defer the redesign.

Expected outcome — 97.5% yield by Q1, downtime under 12 hrs/mo, single-source risk retired.

Dual-source castings

Pros · Removes the cap permanently; competitive pricing.

Cons · $1.1M and a 12-week qualification.

Inbound CT screening only

Pros · Fast, cheap, no supplier negotiation.

Cons · Rejects cost money and do not fix the root cause.

Redesign the interface tolerance

Pros · Engineering fix, no supply change.

Cons · 18 months and requalification with customers.

Enterprise Story™ — ten lenses on the same quarter

The Business Story

A record yield month that converts directly into nine protected delivery dates.

The Engineering Story

A vibration model with 0.91 precision now sees failure before the operator can hear it.

The Employee Story

Marcus stopped getting the 3am call. His crew's overtime fell 22%.

The Customer Story

Two utilities will commission before winter instead of during it.

The Supplier Story

One foundry's tolerance band is now the single biggest lever in this plant.

The Family Story

Fewer emergency nights means the shift roster is what the family plans around.

The Community Story

Forty new jobs in Greenville and zero flare events this quarter.

The Financial Story

$18M of value created without a single new machine on the floor.

The Innovation Story

Process control learned on Line 2 becomes the template for every turbine plant.

The Future Story

Closed-loop control across the fleet, where the line corrects itself before a human sees the defect.

Why should I care?

Why should a employee care?

Your shift ends when it says it ends.

Why should a customer care?

Your turbine arrives on the date you planned your outage around.

Why should a supplier care?

Tighter tolerances come with qualification support, not penalties.

Why should a shareholder care?

Margin from process, not from price — that is the durable kind.

Why should a student care?

Quality is not inspection. It is knowing before you build.

Why should a family care?

Fewer emergency call-outs. More evenings that happen as planned.

Why should a community care?

A plant that hires locally and stopped flaring.

Narrative Action Engine™

VerbActionOwnerDueBudgetROIHuman impact
Do ImmediatelyPublish the torque sequence as the plant standard.Dana WhitfieldFri$40K$4.1M/yr61 fewer rework nights
InvestApprove the second casting source.Supply Chain Council30 Sep$1.1M5.2mo paybackEnds the overtime spiral
MonitorTrack press bearing vibration daily until the October stop.ReliabilityDaily$0$3.8M protectedNo 3am call-outs
CelebrateRecognise Line 2 at the all-hands with named crews.Plant HRNext town hall$8KRetentionPeople see their own names on the record
ScalePort the model to Lines 3 and 4.MFG EngineeringQ4$2.4M$21M/yrSame relief, three more crews

AI Content Factory™

CEO Speech · Greenville Turbine Works

Good morning.

I could open with First-pass yield: 96.4% against a target of 97.5%. You have all seen that slide.

So let me tell you what it means instead. A revised torque sequence plus vibration-model alerts caught 61 rework causes before assembly.

61 fewer rework nights — crews go home on the shift they were rostered for.

And here is what we do next. Do Immediately: Publish the torque sequence as the plant standard. — Dana Whitfield, due Fri.

That is the business. The number is only how we count it.

Data tells us what happened. Analytics tells us why. AI predicts what could happen. Narrative Intelligence explains why humans should care. Decision Intelligence guides what we do next.

Every Number Has A Human Story™