ManufacturingAI implementation case study

Manufacturing – Automotive Tier-1 Supplier: Subassembly Quality & Andon AI

AI for vision-assisted inspection routing, andon escalation, supplier containment, and ERP rework orders.

This case study documents a real client implementation. Identifying details may be withheld where confidentiality applies.

Key takeaway

PrimeAxiom fused vision AI with manufacturing execution so defects triggered a full automated operational response across plants and suppliers.

The engagement

From operational friction to a connected AI system

01 · Context

Business overview

Industry: automotive Tier-1. Complexity: PPAP, traceability.

02 · Challenge

Core problem

Paper trails, slow andon, duplicate ERP entry.

03 · Approach

Solution

PrimeAxiom deployed plant-floor AI: vision models suggest defect class, agents open and route andon events, supplier containment workflows auto-notify, and ERP rework generated with traceability.

04 · Impact

Results

False escape rate −46%; andon response time −38%; rework data entry −91%; supplier chargeback recovery +29%.

System design

The full automation system

The implementation connects triggers, AI decisions, business rules, human approvals, and downstream actions in one controlled workflow.

Vision Agent, Andon Agent, Containment Agent, Rework Agent.

Workflow

How the automation runs

1. Station capture. 2. AI classifies defect. 3. Andon severity. 4. Supplier lot lookup. 5. Containment messages. 6. Rework order. 7. Quality analytics.

Intelligence layer

AI agents and decision logic

Inspect Agent, Escalation Agent, Supplier Agent.

Under the hood

Technical architecture

Edge + cloud hybrid, OPC/MES bridges, audit logs.

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