Audit

Last updated 2026.02.13
감사Audit품질관리Quality ManagementAI컴플라이언스Compliance예측분석Predictive Analytics

Definition

An audit is a systematic activity that independently verifies and evaluates whether a specific subject or process complies with established criteria, regulations, and standards. In manufacturing, audits extend beyond financial reviews to encompass quality, safety, environmental, and production process domains, deriving improvement opportunities through evidence collection and documentation.

Applications in Manufacturing

Quality Audits

  • ISO 9001, IATF 16949 quality management system compliance verification
  • Supply chain management through supplier quality audits
  • Verification of standard operating procedure compliance in production processes

AI-Driven Audit Innovation

  • Automated Data Collection: Real-time production data gathering from IoT sensors and MES systems
  • Anomaly Pattern Detection: Machine learning algorithms automatically identify processes with high non-compliance probability
  • Predictive Auditing: AI analyzes historical audit results and current data to forecast potential risk areas
  • Automated Document Review: NLP technology cross-references thousands of pages of production records with SOPs

Practical Applications

  • Automotive Parts Manufacturer: Computer vision monitors worker assembly process compliance in real-time
  • Electronics Manufacturing: AI analyzes production logs to automatically verify traceability requirements

Key Points

Manufacturing audits are evolving beyond simple verification into tools for continuous improvement. AI technology expands audit frequency and scope while reducing human burden, enabling more strategic and preventive quality management.