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Phi-Lean.ai – True Lean software automation

Production workshop

A machine stoppage reported in ten seconds, the right technician alerted, and the causes surfacing

A line stops. The operator looks for the team leader, who calls maintenance, who does not know what happened last time. Phi-Core turns each stoppage into a clear alert, a useful history and, every week, priorities.

Target

10 s

to report a stoppage

The scenario

An 80-person food producer with two packing lines.

The flow, end to end

This use case, laid out on the Phi-Core architecture.

  1. What triggers it

    • ERP, orders & shop floorStoppage detected by production monitoring, or reported by scanning the machine’s QR code
    • Schedule & web watchEvery Monday: the stoppage review

  2. The agents at work

    Phi-Core
    • TriageSorts, prioritises and spots urgency, by your rules.
    • WatchCompares with previous weeks and flags drifts, with their likely explanation.
    • SynthesisCondenses onto one page what matters for the decision.

  3. You validate

    The technician confirms cause and action at close-out; the production manager approves the week’s priorities.

  4. What comes out

    • Smart alertsAlert to the on-call technician, with the last interventions on that machine
    • Tasks & approvalsWork request created and tracked
    • Briefs & synthesesWeekly stoppage Pareto and three proposed actions

Today

  • Short stops go unreported; long ones are reported from memory.
  • Maintenance arrives without knowing what has already been tried.
  • The history is in a notebook, or in one technician’s head.
  • The same failures come back, and nobody sees them coming.

With Phi-Core

  1. The line stops: the operator scans the machine’s QR code and picks a cause in two taps, or the stoppage comes straight from production monitoring.
  2. The triage agent estimates severity and retrieves the last interventions on that machine.
  3. The on-call technician gets the alert, with what was done last time.
  4. At close-out, he confirms cause and action in thirty seconds.
  5. Every Monday, the watch agent produces the stoppage Pareto and the synthesis agent proposes three actions, which the manager approves.

What we look at first

Before plugging anything in, we spend time with the people who do this work. That is where most of the value lies: a well-understood flow automates simply; a poorly understood one automates badly, whatever the tool.

  • A simple list of stoppage causes, built with the operators.
  • Who must be alerted, for what, and at what time.
  • The real downtime, measured rather than felt.

What changes

  • Every stoppage reported, even short ones.
  • Interventions that start with the history.
  • Recurring causes visible, and therefore dealt with.
  • Machine time recovered, which means capacity.

Plugged into your tools

A QR code and a phone form, the team messaging app (Teams or WhatsApp), a spreadsheet or the maintenance tool; optionally, real-time OEE monitoring from our partner Factbird.

Safeguards

  • Safety stays outside the flow: a safety-related stop follows the site procedure, not a message.
  • Operators choose from causes they defined themselves.
The Lean principle behind this case“Serve more” pillar: + CapacityServe more customers, without heavy investmentRead on phi-lean.com

Does your flow look like this one?

Describe it in a few lines: we will tell you where we would start, and what we would look at first.

Talk about my flow

Typical scenario, built to illustrate Phi-Core; it is not a client reference. The targets shown are design goals: yours are set during the diagnostic, from your real flow.

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