Manufacturing

Production downtime escalation

Machine and worker downtime events are not escalated consistently by duration and severity, weakening response and loss records.

Business problem

Machine and worker downtime events are not escalated consistently by duration and severity, weakening response and loss records.

What teams see

  • Work waits between receive downtime event and identify asset.
  • Owners reconstruct status from Generic webhook and Maintenance system.

Why it happens

  • No shared state spans Generic webhook, Maintenance system, Microsoft Teams.
  • Decision and exception rules are applied inconsistently.

Why it becomes expensive

  • Capacity is consumed by coordination and rework.
  • Late exceptions weaken visibility and service quality.

Business outcomes

  • Shorter close downtime record cycle
  • Fewer handoff and missing-information exceptions
  • Clear ownership from receive downtime event to close downtime record
  • Inspectable decisions and recovery

Measurable KPIs

  • Turnaround time: Elapsed time from receive downtime event to close downtime record.
  • Manual intervention rate: Share of items needing a person outside defined review conditions.
  • Exception age: Time unresolved exceptions remain without a completed action.
  • Successful completion rate: Share of valid workflow items completing without terminal failure.

How the workflow works

  1. Receive downtime event — Accept and identify the production downtime escalation trigger. Generic webhook
  2. Identify asset — Execute identify asset with validated sample data and an auditable result. Generic webhook
  3. Start duration clock — Execute start duration clock with validated sample data and an auditable result. Maintenance system
  4. Apply severity policy — Execute apply severity policy with validated sample data and an auditable result. Microsoft Teams
  5. Notify maintenance — Execute notify maintenance with validated sample data and an auditable result. Generic webhook
  6. Escalate management — Execute escalate management with validated sample data and an auditable result. Maintenance system
  7. Record response — Execute record response with validated sample data and an auditable result. Microsoft Teams
  8. Close downtime record — Execute close downtime record with validated sample data and an auditable result. Generic webhook
  9. Audit and KPI update — Persist the execution outcome, audit facts and workflow measurement events. SEIDO execution store

Integrations and ownership

  • Generic webhook: Provide workflow input
  • Maintenance system: Lookup and update context
  • Microsoft Teams: Receive controlled outcome

Human responsibility: Operations quality lead

Failure and recovery

Generic webhook is temporarily unavailable.

Retry with capped exponential backoff; preserve the run and move it to the inspectable failure queue after the limit.

Required data for identify asset is malformed or missing.

Stop downstream actions and show the missing fields, source evidence and correction action to the named reviewer.

The trigger or provider event is delivered more than once.

Return the existing execution identified by the idempotency key and do not repeat downstream business actions.

The human decision expires before completion.

Escalate to the configured substitute, retain the original request and record both expiry and reassignment.

When not to build this

  • Monthly volume is too low to justify integrating Generic webhook, Maintenance system, Microsoft Teams.
  • An existing configured platform already handles production downtime escalation with adequate ownership and reporting.
  • Reliable source data or supported API access is unavailable.
  • No business owner has authority to define the decision and exception rules.

Related workflows