Multi-site manufacturing software: a phased rollout plan
Plan a multi-site manufacturing software rollout with shared definitions, local ownership, clear pilot exit criteria and checks before the next plant starts.
A multi-site manufacturing software rollout should prove one complete workflow at a representative plant before repeating it elsewhere. The reusable part is the operating pattern: agreed definitions, responsibilities, access rules and evidence that the workflow works. Copying settings alone does not establish that the next plant is ready.
Start by naming the outcome. “All sites on one system” is a deployment milestone. “Every plant can trace a completed job to its order, recorded output and quality decisions” is an outcome you can test.
Choose a pilot that teaches you something useful
Pick a plant with representative work, an engaged local owner and enough capacity to investigate problems. The easiest site may miss the complexity that matters elsewhere. The hardest may spend the pilot resolving exceptions that few other sites share.
Choose one workflow with a clear beginning and end. For example, follow a customer order through job release, station reporting, a quality exception and completion. If the agreed scope includes dispatch or invoicing, include those handoffs in the test rather than declaring success when production finishes.
Factbird’s account of multi-site implementation also emphasises small pilots, involvement from the floor and shared definitions. Use that as a planning principle, not a promise that a particular rollout will take a fixed number of days.
Decide what is shared and what can vary
Write a short decision register before site two starts. Each setting needs an owner and a reason for its scope. This avoids a local convenience quietly changing the meaning of a group measure.
| Keep a common definition | Allow a documented local choice |
|---|---|
| What counts as completed output | Shift start and finish times |
| How rework affects first pass yield | Which stations run the route |
| Required quality evidence | Additional local checks |
| Who may approve a process change | Named approvers and trained cover |
| Meaning of an overdue action | Local meeting time and escalation contact |
Local variation is legitimate when the work differs. Record that variation explicitly, including its effect on reporting. Two sites can share a platform without pretending to have identical production processes.
Give the pilot clear exit criteria
Agree these checks before the pilot begins so the deadline does not become the only definition of success.
- Complete a normal job. Retrieve its source order, output and required evidence without a side spreadsheet filling a gap.
- Resolve an exception. Show what happens to a failed check, incomplete order or incorrect recording.
- Test the actual roles. An operator, supervisor and quality reviewer each use their intended access. Include an attempted action that should be denied.
- Reconcile a measure. Trace a reported quantity back to its contributing records and explain any difference.
- Recover an interruption. Exercise a lost connection or failed submission on the actual devices, then follow the agreed recovery procedure.
- Hand over support. The local owner can identify an issue, contact the right person and explain the fallback.
Keep a named acceptance owner for each check. A screenshot of a working dashboard cannot substitute for an operator successfully completing the underlying transaction.
Treat site two as a test of the template
For a hypothetical second plant, the route may be the same while shifts, printers and part references differ. Review each difference before copying configuration. Confirm the new plant’s records are visible to the right people and hidden from roles without access.
Bulk’s multi-site approach combines shared software with site-specific configuration. That is a basis for evaluation, not proof that any particular group dashboard, regional setup or replication process is ready for your organisation. Demonstrate the exact cross-site view you need.
Do not assume that sites in different hosting regions share a live reporting view. Establish where each site’s data sits, how any aggregation is performed and which records a group user may open.
Reconcile group numbers before comparing plants
Suppose one plant processes 10 units with 9 first-time passes and another processes 90 with 72 first-time passes. Their FPYs are 90% and 80%. A simple average gives 85%, but the combined result is 81 passing units out of 100, or 81%.
This hypothetical example shows why a group percentage needs the underlying counts. Agree the population, time zone, shift boundary and treatment of rework before publishing comparisons. The first pass yield guide explains the counting rules in more detail.
Keep the next phase reversible
Define which scope can pause, who makes that decision and how the plant continues operating. Preserve the records created during the pilot; switching a workflow back does not undo the physical work already performed.
Expand once site two can repeat the accepted workflow with its own people and equipment. Use the same acceptance record at each later plant, adding new cases where local differences justify them. To prepare that record, start with Bulk’s multi-site overview and bring one real end-to-end workflow to the discussion.
