Question 16
Scenario 2: Smart Manufacturing Quality Control System
An automotive manufacturer implements an IoT-based quality control system that monitors production line metrics, detects defects in real-time, and optimizes manufacturing processes across multiple assembly plants.
System Architecture:
● IoT sensors at production stations (coordinates provided for each plant)
● Quality control hub: (42.3601^(o) N, 71.0589^(o) W)
● Real-time data streams: temperature, pressure, vibration, visual inspection
● ML models for defect prediction and process optimization
Based on the above data, answer the given subquestions.
When a critical defect pattern is identified requiring immediate production line adjustment, which Git workflow ensures rapid deployment of updated quality parameters while maintaining manufacturing compliance?
Push changes directly to production branch to minimize downtime
Create quality-hotfix branch, implement changes with detailed validation, require quality engineer approval, and deploy with rollback capability
Apply temporary manual overrides and update version control later
Use email to communicate changes without version control