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- Manufacturing Analytics
- Who it's for
- Continuous operations
Continuous operations
Continuous operations produce a steady series of observations rather than a single isolated production event. A dated production snapshot gives each review window an owner, definition and revision. Source snapshots keep the capture window and freshness state, while metric observations retain period start and end. The team can examine a trend without losing sight of which source produced an unusual value.
How Manufacturing Analytics is set up for you
Define the window
Agree how production dates and capture windows align across shifts.
Check freshness
Investigate Stale and Failed captures before using a value in a report.
Verify computation
Read the operation run and persisted fields after efficiency calculation.
Follow through
Give each questioned result an assignee, due date and recorded resolution.
Continuous operations produce a steady series of observations rather than a single isolated production event. A dated production snapshot gives each review window an owner, definition and revision. Source snapshots keep the capture window and freshness state, while metric observations retain period start and end. The team can examine a trend without losing sight of which source produced an unusual value.
Choose a recurring window and several consecutive source captures. Record one resource definition and its effective dates. Attach observations to their parent snapshots and inspect a pending fact before validation. Have the analyst invoke validation and efficiency computation from the workspace and check each operation's source revision. The reviewer should compare the current revision with the decision being recorded. When a capture arrives late, preserve its capture time and hash so the team can distinguish it from the earlier window.
For the first operations review, ask the manager to read the trend together with run exceptions and overdue follow-up. A low value may represent an operational issue, a source problem or a rule change. The linked records let the team determine which explanation applies before assigning work. The [reports](/manufacturing-analytics/reports) page suggests questions for that meeting.
Features to start with
Roles on the team
- Snapshot Owner
- Owns dated production snapshots and checks observations before validation.
- Production Analyst
- Checks measurement inputs and runs validation and efficiency computation.
- Independent Reviewer
- Records decisions against a source revision and verifies evidence.
- Operations Manager
- Reviews production results and assigns corrective work.
Set up Manufacturing Analytics your way.
Start free, then use Proto to change fields, steps and approvals before your team goes live.