●Industry 08

Manufacturing & supply chain
from plant signal to operating decision.

Operational chart scenarios for plant, quality, procurement, logistics, and supply-chain teams managing flow and variability.

Industry context How the work happens

Not a generic chart request.

Industrial data is most valuable when it connects a line, supplier, or process stage to a near-term operating action. Good scenarios preserve the shift, product mix, time window, and definition behind every KPI.

3 Detailed workflows on this page

01
Daily production meeting on line effectivenessPlant operations manager
02
Supplier recovery after corrective actionStrategic sourcing manager
03
Distribution-network flow before peak seasonSupply-chain network planner

Scenario 01 Plant operations manager

Daily production meeting on line effectiveness

Trigger

Output missed plan for three days even though scheduled labor and demand remained stable.

Business question

Is the loss driven by availability, speed, or quality—and on which line?

Source data

MES runtime, ideal cycle rate, and accepted-unit counts calculated under one OEE definition.

Decision

Prioritize changeover reliability on Line C before adding overtime or increasing the production plan.

Deliverable

An OEE comparison for the morning tier meeting and a final frame on the continuous-improvement board.

OVERALL EQUIPMENT EFFECTIVENESS · PRIOR DAY

Line C is the constraint

Line A82%

Line B77%

Line C54%

Line D73%

Line E79%

What the chart should make obvious

Line C sits more than 20 points below the plant cluster, making it the first diagnostic target before a labor-capacity response.

Use one OEE definition
Show the planned threshold in discussion
Drill into availability, speed, and quality next

Build with Horizontal Percent Bars

View the exact example data

Line,OEE
Line A,82
Line B,77
Line C,54
Line D,73
Line E,79

Synthetic example data for demonstrating the workflow. Replace it with approved source data before publishing.

Scenario 02 Strategic sourcing manager

Supplier recovery after corrective action

Trigger

Three suppliers completed a 90-day corrective-action plan after repeated material delays.

Business question

Which suppliers reduced lead time enough to restore standard safety-stock policy?

Source data

Purchase-order creation to accepted receipt, measured in calendar days and segmented by comparable material family.

Decision

Restore normal allocation for two suppliers and maintain contingency stock for the supplier that remains unstable.

Deliverable

A before/after chart for the supplier review and sourcing recommendation.

MEDIAN PURCHASE-ORDER LEAD TIME · DAYS

Two suppliers recovered; one remains exposed

Before actionAfter action

What the chart should make obvious

Vertex reduced median lead time by only two days while peers improved materially, supporting continued contingency inventory for its material family.

Compare like material families
Use median to reduce outlier distortion
Pair speed with defect and fill-rate checks

Build with Dumbbell Delta

View the exact example data

Supplier,Before action,After action
Atlas Components,34,22
Nova Materials,41,25
Vertex Metals,37,35
Harbor Plastics,29,24

Synthetic example data for demonstrating the workflow. Replace it with approved source data before publishing.

Scenario 03 Supply-chain network planner

Distribution-network flow before peak season

Trigger

Peak forecast exceeds one distribution center’s planned throughput and alternative routing must be agreed before carrier commitments.

Business question

Where can regional order volume be rerouted without overloading downstream fulfillment nodes?

Source data

Forecast order units by origin region, distribution center, and destination zone under the peak planning scenario.

Decision

Move part of the East flow from DC1 to DC3 and reserve additional carrier capacity on the affected lane.

Deliverable

A Sankey animation for the peak-readiness workshop and a static flow map in the capacity plan.

FORECAST WEEKLY ORDER FLOW · 000 UNITS

East demand overloads DC1

What the chart should make obvious

East sends 82 thousand weekly units through DC1 while DC3 retains alternative routing capacity, making the East-to-DC3 lane the practical balancing lever.

Keep units consistent
Avoid cycles in the flow table
Validate capacity outside the chart before committing

Build with Sankey Flow

View the exact example data

Source,Target,Value
East,DC1,82
East,DC3,28
Central,DC2,61
Central,DC3,34
West,DC3,69
DC1,Metro,52
DC1,Coastal,30
DC2,Metro,35
DC2,South,26
DC3,Coastal,48
DC3,South,83

Synthetic example data for demonstrating the workflow. Replace it with approved source data before publishing.

Production From example to output

Turn the scenario into your chart

Use the example dataset to test the visual structure, then replace it with approved data from the named source system and validate the decision context before export.

FAQ Industry questions

Before you publish

Which manufacturing KPIs should be animated?

Use animation when sequence matters: shift-by-shift ranking, flow between process stages, before/after corrective action, or quality and downtime trends around a known intervention.

How do I compare plants fairly?

Normalize product mix, planned time, KPI definition, shift window, and exclusions before ranking plants or lines.

Ready to make
your data move?

Open the studio

Manufacturing & supply chainfrom plant signal to operating decision.

Not a generic chart request.

Line C sits more than 20 points below the plant cluster, making it the first diagnostic target before a labor-capacity response.

Vertex reduced median lead time by only two days while peers improved materially, supporting continued contingency inventory for its material family.

East sends 82 thousand weekly units through DC1 while DC3 retains alternative routing capacity, making the East-to-DC3 lane the practical balancing lever.

Turn the scenario into your chart

How to create an animated chart from CSV data

Prepare CSV data for animated charts

Before you publish

Ready to makeyour data move?

Manufacturing & supply chain
from plant signal to operating decision.

Ready to make
your data move?