Track production from commitment to closeout
Define the production object, capture meaningful events, separate normal progress from exceptions, assign recovery work, and review current signals against the records that created them.
Start with the decisions people make during a shift and daily control meeting. Then collect only the facts needed to support those decisions reliably.
Start with Jodoo’s Free plan for up to five users. No credit card required.
- Define the order, operation, event, exception, and handoff records
- Choose an update cadence that leaves time to respond
- Keep ERP, MES, quality, maintenance, and workflow responsibilities clear
Build the operating model before the dashboard
Each step removes a common source of ambiguity.
- 01
Choose the tracked object
Decide whether the primary record is a production order, batch, job, operation, item-period plan, or another stable commitment.
- 02
Define lifecycle states
Use states that change the next action: planned, released, ready, running, held, completed, awaiting verification, and closed.
- 03
Capture meaningful events
Record start, output, scrap, downtime, hold, resume, change, and completion with source, time, and responsible role.
- 04
Separate exceptions
Create an owned record for the cause, impact, containment, action, due time, decision, evidence, and resolution.
- 05
Design role views
Give operators, supervisors, planners, support teams, and managers the queue and context needed for their decision.
- 06
Review and improve
Use dashboards that open the affected orders and events, then change definitions, fields, rules, and workflows when recurring failure appears.
Avoid one oversized production form
Related records keep frequent updates focused and preserve the history needed for analysis.
- Commitment
Production order
Item, quantity, dates, route or center, priority, promise, owner, lifecycle, and current forecast.
- Occurrence
Production event
Order and operation reference, event type, time, quantity, duration, reason, reporter, and evidence.
- Response
Production exception
Cause, impact, severity, containment, owner, next action, due time, decision, and outcome.
- Continuity
Shift handoff
Current condition, inherited risk, next action, owner, due time, and receiving acknowledgement.
- Control
Closeout review
Final quantity, scrap, quality state, open actions, evidence, reviewer, decision, and date.
Refresh the data when a decision can still change the outcome
More frequent is not automatically better; late or unactionable data is the real failure.
At the operation
Start, output milestone, scrap, downtime, hold, resume, completion
Operator or supervisor updates the state and immediate response
At shift handoff
Incoming team accepts running work and unresolved exceptions
Supervisor confirms ownership and next action
Daily production control
Promise risk, output variance, repeated loss, stale updates, open decisions
Planner and support teams choose recovery or escalation
Weekly improvement
Recurring cause, route, center, product, shift, or handoff pattern
Owner tests a process, configuration, maintenance, or quality countermeasure
Make the tracking record trustworthy enough to act on
Put controls where errors enter the process.
Stable identifiers
Use generated or authoritative IDs rather than asking users to type key identifiers manually.
Controlled states and reasons
Use dropdown, single-select, multi-select, date, number, relationship, attachment, and action controls where the data calls for them.
Explicit unknowns
Keep unknown, not reported, not required, and zero distinct.
Reconciliation
Check good output, scrap, remaining quantity, open events, and closeout totals before approval.
Freshness and ownership
Show when the record was last updated and who must respond next.
Connect systems without creating competing sources of truth
Choose the authoritative owner for each fact before building integrations.
ERP / MRP
Items, BOMs, production orders, inventory, purchasing, costing, and financial posting
Order identifiers, quantities, dates, readiness, and approved results
MES / industrial systems
Execution detail, genealogy, machine events, process values, and control
Actionable events, holds, completion, and human decisions
QMS / CMMS
Specialist quality and maintenance records
Cross-functional production impact, owner, status, and closure
Jodoo
Configurable human workflow, forms, relationships, exceptions, approvals, evidence, role views, and dashboards
Operational context and decisions around authoritative records
Common implementation decisions
Keep the first release focused, observable, and useful during a real shift.
What is the best way to track production progress?
Use a stable production object, explicit lifecycle, timestamped events, controlled exception reasons, accountable next actions, and dashboards that open the affected orders and events.
Should operators update the production order directly?
Usually they should submit a focused event or task form. The system can update the order summary while preserving who recorded what and when.
Which production KPIs should we track first?
Start with measures tied to decisions: promise risk, plan versus actual, good output, scrap, downtime, active holds, stale updates, open exceptions, and closeout readiness.
How do we pilot production tracking?
Choose one work center or product family, load representative normal and exception states, run at least one full shift and handoff, review source drill-down, and change the workflow based on observed friction.
Use the production workflow map to choose your first implementation step
Compare the planning, scheduling, capture, tracking, monitoring, reporting, and management pages after defining the records and decisions you need.
Track one representative order through normal and exception states
Use the populated Jodoo app to test start, progress, hold, recovery, handoff, completion, verification, dashboard drill-down, and one administrator-owned change.