Use Of AI

In

Defect

Detection:

Global manufacturing operations face intense pressure to eliminate defects, lower production costs, and accelerate time-to-market. Traditional quality control workflows—hampered by manual inspections, paper records, and disconnected data silos—cannot keep pace with modern industrial demands.

Hertzler Systems bridges this gap by combining decades of Statistical Process Control (SPC) expertise with enterprise-grade Artificial Intelligence. By embedding secure AI capabilities into GS Premier (cloud-based SPC) and GainSeeker (on-premise SPC), we enable manufacturers to isolate defects early, pinpoint root causes instantly, and establish a bulletproof data foundation for predictive, automated quality management.

Key Takeaway: Hertzler’s secure AI tools give your team the intelligence to stop process instability before it impacts production. Whether you choose cloud-based AskGS or on-premise GainSeeker AI Analyst, your proprietary data remains private, secure, and fully under your control.

AI is a mathematical engine entirely dependent on the integrity of the data it ingests. Feeding a model "noisy" data—such as manual entry errors, gaps from paper logs, or unstandardized measurements—forces the AI to find patterns in flaws. This causes catastrophic quality misses or constant false positives.

SPC as the Clean Data Backbone

Hertzler utilizes SPC as the essential data-cleansing and preparation layer for AI. Control charts and capability analyses strip out systemic noise at the point of collection, preventing "model drift" (the degradation of AI predictive accuracy over time).

Building Deep Data Context

To deliver actionable defect detection, measurements must be paired with a rich layer of contextual metadata, including:

• Process parameters and live machine settings
• Operator IDs and precise shift timestamps
• Raw material lot numbers and supplier identifiers
• Tooling age and historical maintenance logs
• Environmental variables like temperature and humidity

3.1 AskGS — Cloud-Native AI for GS Premier Users

AskGS transforms static dashboards into a conversational, proactive quality intelligence engine.

• Real-Time Data Mirroring: Continuously tracks all active charts, stats grids, and dashboard insights to maintain live context for every user query.
• Conversational Troubleshooting: Allows shop floor engineers to ask natural-language questions (e.g., "Why did our scrap rate increase on Line 4 yesterday?") and get instant, evidence-backed answers.
• One-Click Analysis: Hovering over any data point launches an immediate AI interpretation of that specific moment in time.
• Zero-Leak Cloud Security: Operates entirely within Hertzler’s private virtual network. Proprietary data, machine limits, and operator notes are strictly protected and never used to train public Large Language Models (LLMs).

3.2 GainSeeker AI Analyst — On-Premise AI for the Enterprise

Designed for organizations with strict IT governance or an explicit preference for on-premise infrastructure control.

• Bring Your Own AI (BYO-AI): Safely connect GainSeeker to your organization's internally approved, vetted AI engine via a secure API.
• Note Manager AI Analysis: Evaluates unstructured operator comments to spot "soft" data patterns, such as recurring maintenance mentions or sentiment shifts across shifts.
• Automated Narrative Reporting: Instantly generates written summaries for daily or weekly quality reports, eliminating manual authoring.
• Python SDK Integration: Allows teams to build custom workflows where AI deep-dives are triggered automatically by specific statistical events.

4. AI-Driven Defect Detection Across Industries

• Electronics Manufacturing: Tracks precision defects to sub-millimeter tolerances at high volumes. Integrates with Automated Test Equipment (ATE) and pairs serialization with cost tracking to prioritize high-impact rework areas. Proven Outcome: Electronics clients report a 171% ROI within seven months of deployment.
• Aerospace & Defense: Delivers early warning of mission-critical process deviations, comprehensive audit trails for regulatory compliance, and complete production lineage tracing for every part.
• Automotive Manufacturing: Stabilizes high-volume processes by tracking real-time Overall Equipment Effectiveness (OEE), predicting defect patterns before production cycles, and automating supplier reporting.
• Medical & Pharmaceutical: Ensures quality decisions are grounded in statistically sound, auditable data. Building AI on a validated SPC foundation avoids data integrity failures that could impact patient safety.

Case Study: Isolating Early Process Drift

The Challenge: A high-speed surface-mount technology (SMT) electronics manufacturer faced intermittent solder-joint pitting across four production lines and three PCB suppliers, which masked traditional control charts.

The AI Intervention: Using AskGS, the QA team cross-referenced live I-MR charts with environmental metadata, shift logs, and material tracking numbers. The AI isolated a precise micro-drift: when room humidity exceeded 58% on Line 3 while running Supplier B's material, defect probability increased by 14%.

AskGS issued a predictive alert 45 minutes before a formal limit breach occurred. The operator proactively adjusted the HVAC and swapped the material roll, saving an estimated $14,500 in scrapped boards.

5. The Roadmap to AI Readiness

Hertzler outlines five steps to transition your plant from reactive troubleshooting to an AI-ready, defect-preventive operation:

1. Eliminate Paper Checklists: Transition to automated, digital data collection at every production station.
2. Centralize the Data Foundation: Deploy an enterprise SPC solution to dismantle data silos and unify plant-floor metrics.
3. Enrich Data Context: Ensure every measurement is tagged with its corresponding machine state, operator, shift, material lot, and environment.
4. Enforce Real-Time Flows: Stream data instantaneously so AI tools can deliver immediate, actionable insights to operators.
5. Protect Data Integrity: Establish regular audits of data collection methods to eliminate noise and maintain a pristine foundation.