Run each production order from release to verified closeout
Keep output, blockers, decisions, recovery work, and final verification attached to the order instead of reconstructing the story after a due date slips.
Production management starts after a plan exists: release the order, follow actual work, resolve exceptions, protect the promise, and verify closeout. Planning, detailed scheduling, floor input, and machine-connected MES remain distinct jobs.
Start with Jodoo’s Free plan for up to five users. No credit card required.
- Plan-versus-actual by order
- At-risk queue with owners and causes
- Evidence-based production closeout
A status should tell the team what decision comes next
Keep the order state separate from the reason, owner, due action, and evidence required to move forward.
- 01
Release
Confirm the order, baseline quantity, promised date, line, and accountable owner.
- 02
Run
Collect current quantity, scrap, update time, and the operation or shift that produced it.
- 03
Intervene
Create a variance for late start, shortfall, scrap, hold, material block, or stale update.
- 04
Recover
Assign the action, decision, due date, evidence, and expected effect on the promise.
- 05
Close
Reconcile final output, open actions, quality verification, reviewer, and disposition.
Route the variance according to the decision it needs
A single red status is not enough. The cause and next decision determine who should act.
Late start
Is the promise still achievable or must work be resequenced?
Schedule change and production owner decision
Output shortfall
Is the gap temporary, quality-related, or capacity-related?
Variance detail with recovery quantity and date
Scrap spike
Should the order continue, hold, or require quality disposition?
Quality evidence and approval before restart
Stale update
Is production progressing or simply unreported?
Owner follow-up with update deadline
Do not mark production complete while important work is still open
Completion can describe physical output; closeout confirms the record is trustworthy and remaining risk is accepted.
Quantity reconciliation
Final good quantity and scrap agree with the order and reported operation events.
Quality verification
Required checks are complete or an authorized disposition explains the exception.
Recovery actions
Open actions are closed, transferred with an owner, or explicitly accepted.
Closeout evidence
Reviewer, date, note, attachments, and decision remain searchable with the order.
Every measure should open the production records behind it
Use a small set of operational measures to decide where to intervene—not a wall of disconnected charts.
Orders at risk
Released or running orders with a blocked readiness state, critical variance, stale update, or threatened promise.
Open by severity, cause, owner, and promised date.Plan attainment
Actual accepted output divided by planned output for the selected order, line, shift, or period.
Separate good output from scrap and unverified completion.Recovery aging
Elapsed time from variance detection to verified recovery or accepted disposition.
Use the queue to find overdue owners and recurring causes.Unverified closeout
Completed orders still missing quantity reconciliation, quality confirmation, or reviewer decision.
Treat this as work, not a reporting footnote.
Change the control model when the product mix changes
A trained administrator can add a batch attribute, exception class, reviewer, or dashboard view without rebuilding the application.
New product family
Add product-specific fields and a filtered line view
Existing orders remain intact and reporting still reconciles
New closeout rule
Require a quality check or attachment for selected order types
Incomplete orders cannot appear as verified closeout
New escalation window
Route critical variances by severity and elapsed time
The at-risk queue shows the right owner before the promise slips
Separate production management from its neighboring jobs
These jobs overlap, but each needs a different workflow and a different first view.
Build a feasible plan
Production planning software
Demand, dates, quantity, readiness, and release
Sequence work
Production scheduling software
Work-center and shift schedule with controlled changes
Capture floor events
Production data collection software
Point-of-work updates with validation
Control released orders
Production management workflow
Plan versus actual, variance, recovery, and closeout
Design the order lifecycle before adding more dashboards
A clean state model and clear boundaries make the system useful.
What should production management software track?
At minimum: the production order, baseline quantity and date, current status, actual output, scrap, active variance, accountable owner, next action, quality disposition, and closeout decision.
Can blocked orders trigger follow-up?
Yes. A workflow can assign the responsible owner, set a due date, notify reviewers, and expose overdue work in a queue.
Can quality verification be required before closeout?
Yes. Use conditional fields, approvals, evidence uploads, and role permissions to keep completion separate from verified closure.
Does this replace MRP, APS, or MES?
No such replacement is assumed. Jodoo can coordinate human execution and exceptions around those systems; specialist material planning, finite scheduling, telemetry, and genealogy should remain where they are proven.
Map the records around a released production order
Connect the order-control loop to planning, scheduling, data collection, floor exceptions, reporting, and the specialist systems that remain authoritative.
Open the orders and events behind plan-versus-actual
Use healthy, at-risk, blocked, recovered, completed, and unverified-closeout samples before adapting the workflow to live production.