These cookies are required for the website to function properly. They ensure security, enable basic features like page navigation, and store user session data. You cannot disable these cookies.
- Manufacturing Analytics
- Who it's for
- Multi-site manufacturing
Multi-site manufacturing
A manufacturer with several operating locations needs to know whether two reported values mean the same thing. Production snapshots link to an organization and a production resource definition. Resources have effective dates, and metric definitions carry version, unit, grain and aggregation method. These records give the analyst context when reading a result by period and dimension rather than treating every value as interchangeable.
How Manufacturing Analytics is set up for you
Separate scope
Identify each organization and assign its source records to named owners.
Keep definitions visible
Review the effective resource and metric version before comparing units.
Check capture timing
Compare source coverage windows and freshness status across locations.
Route decisions
Give an independent reviewer the exact revision and evidence for each result.
A manufacturer with several operating locations needs to know whether two reported values mean the same thing. Production snapshots link to an organization and a production resource definition. Resources have effective dates, and metric definitions carry version, unit, grain and aggregation method. These records give the analyst context when reading a result by period and dimension rather than treating every value as interchangeable.
Select one production measure and a short window from each participating location. Map the upstream fields for those locations, then review whether the unit and aggregation method match. Where they differ, keep the distinction visible in the metric definition and result dimension. Run validation and efficiency computation on one snapshot from each location. Ask the reviewer to compare source revision, run outcome and source evidence before approval.
During expansion, make the owner of each location responsible for investigating its own missing or stale capture. The operations manager can look at the overview's reviewed results by unit and status mix, then assign follow-up where a source needs correction. A comparison is useful only when both its measurement rule and capture window are understood. Use the [data model](/manufacturing-analytics/data-model) to plan stable organization and source keys.
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.
- Metric Steward
- Maintains measurement definitions and field mappings for review.
- 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.