IoT Glossary

Production sequencing determines the optimal order for manufacturing jobs considering factors like customer priorities, changeover times, material availability, and equipment capabilities.

Quality control in IoT manufacturing encompasses real-time monitoring, statistical analysis, and automated verification systems that ensure products meet specifications throughout production.

A Quality Management System (QMS) provides structured policies, procedures, and documentation ensuring consistent product quality, customer satisfaction, and regulatory compliance.

Real-time monitoring provides instant visibility into manufacturing operations through continuous data collection, immediate processing, and live dashboards.

SCADA systems provide centralized monitoring and control of industrial processes and equipment.

Six Sigma is a data-driven quality improvement methodology targeting 3.4 defects per million opportunities through systematic problem-solving and process optimization.

A smart factory represents the fully realized Industry 4.0 vision where IoT sensors, AI analytics, robotics, and cyber-physical systems integrate to create intelligent, autonomous manufacturing operations.

Single-Minute Exchange of Die (SMED) is a methodology reducing equipment changeover times from hours to minutes (under 10 minutes ideally) through systematic analysis and optimization.

Spot weld monitoring tracks electrical and mechanical parameters during resistance spot welding including current, voltage, electrode force, and displacement.

Supply chain visibility provides real-time insight into material location, shipment status, inventory levels, and supplier performance throughout the supply network.

Thermal drift describes dimensional and performance changes in manufacturing equipment and processes caused by temperature variations.

Thermal monitoring tracks equipment and process temperatures using infrared sensors, thermocouples, and thermal imaging detecting overheating, inadequate cooling, thermal expansion, and component degradation.