default-banner

How Precision Timing Drives Factory Automation Efficiency and Reliability

As automation and robotics continue to revolutionize industrial manufacturing, precision timing and AI-driven technologies are becoming essential for ensuring efficiency and product quality. Toshihito Hishiki explores the key trends transforming factory automation, from enhanced coordination through Time-Sensitive Networking (TSN) and Precision Time Protocol (PTP) to AI-powered defect detection and Industrial IoT (IIoT) for real-time monitoring.

[object Object]

To thrive in an increasingly digital industrial landscape, manufacturers must embrace precision timing, AI-driven automation and real-time monitoring, says Toshihito Hishiki.

Automotive assembly line robotics must install parts within a millimeter of precision—even minor timing errors can lead to misalignments, defects, costly rework and production delays. Robots in factory settings can endure shock, vibration and temperature fluctuations which can impact timing. Traditionally, factory automation has relied on Programmable Logic Controllers (PLCs) and industrial control systems with flexible (or “loose”) timing, enabling sequential processes like tire assembly and component integration without strict synchronisation. This approach was sufficient in the past.

Today’s increased automation demands more precise synchronisation across systems, boosting efficiency. Manufacturers can now achieve faster production speeds with fewer errors, leading to reduced operational costs through energy and material savings. Smart automation improves product quality by enabling real-time defect detection, reducing waste and enhancing customer satisfaction. Unreliable timing not only undermines the efficiency gains but also quality control, making defect tracing difficult and driving up costs.

This article explores key trends in factory automation and robotics, focusing on precision timing solutions to transform manufacturing across industries.

Trends driving factory automation and robotics

These emerging strategies are trending, defining the future of factory automation and robotics:

1. Time-Sensitive Networking and Precision-Time Protocol (IEEE 1588) Enhances Coordination

Between Machines and Systems

Oscillators are typically the preferred solution for timing in robotic systems, especially in fixed robotic arms where accurate timekeeping is crucial for precise movement. Time-Sensitive Networking (TSN) and Precision Time Protocol (PTP) provide tighter synchronisation, improving coordination across the factory floor.

TSN, developed by the IEEE 802.1 working group, enhances Ethernet with time synchronisation and traffic prioritisation for low-latency, deterministic networking in industrial applications. PTP, standardised as IEEE 1588, synchronises clocks across networks with sub-microsecond accuracy, ensuring coordinated system operation and improved efficiency. Together, they optimise workflows and minimise delays in industrial environments.

Even for teams with domain expertise, designing a custom PTP solution from scratch is a complex and time-consuming process. SiTime’s IEEE 1588 plug-and-play timing synchronisation solution combines SiTime’s MEMS precision timing with a complete IEEE 1588 software to deliver an environmentally resilient, accurate timing synchronisation solution.

2. Smart Machine Vision and AI for Defect Detection

AI-powered image processing enables real-time defect detection, reducing faulty products. Multi-spectral and 3D cameras help identify surface and structural defects for a more thorough inspection. Automated defect sorting systems streamline quality assurance, improving efficiency and consistency.

Precision timing devices synchronise high-speed cameras and processing systems, ensuring accurate image capture and analysis. This minimises latency, enhances inspection accuracy and optimises automated sorting for improved manufacturing efficiency.

3. Industrial IoT (IIoT) for Real-Time Monitoring

Smart sensors track key parameters like temperature, pressure, and vibration, helping to prevent equipment failures by detecting irregularities early. Edge computing processes data instantly on-site, enabling quick decision-making. Cloud integration allows remote monitoring and provides predictive analytics, enabling proactive maintenance and performance optimisation.

Precision timing ensures accurate synchronisation of IIoT sensors, edge computing and cloud systems, enabling real-time data processing and accurate anomaly detection, enhancing predictive analytics and system reliability.

4. Robotics and Automation for Speed and Accuracy

AI-enhanced robotic arms improve precision in assembly, welding, and inspection, ensuring higher quality and consistency. Automated Guided Vehicles (AGVs) optimise material transport and minimise errors, improving logistics efficiency. Collaborative robots (cobots) work safely alongside humans, boosting productivity and enabling seamless human-machine collaboration.

Precise timing devices synchronise robotic arms, AGVs and cobots, ensuring seamless coordination, minimising latency, and optimising task execution for improved safety and efficiency in industrial automation.

Designing a custom PTP solution from scratch is a complex and time-consuming process
Designing a custom PTP solution from scratch is
a complex and time-consuming process

On the factory floor MEMS precision timing beats quartz

Silicon MEMS devices provide an advantage in timing to address automation’s emerging trends across the board. Quartz devices are typically larger than their MEMS silicon counterparts, making them more susceptible to mechanical g-forces and increasing sensitivity to shock and vibration typical in factories. The differences in material strength, mass and construction mean that quartz timing devices are more likely to crack or break under shock compared to MEMS silicon devices.

In addition, quartz-based timing devices are more sensitive to temperature fluctuations, which can lead to greater frequency drift over a range of temperatures. While quartz can be temperature-compensated to some degree, it still tends to exhibit a higher level of sensitivity to temperature changes compared to MEMS devices. MEMS silicon has a more stable coefficient of thermal expansion than quartz, making them more stable across a wider temperature range. This is especially important in industrial applications where temperature variations can be significant.

Key timing device features to consider in factory automation and robotics:

  • Temperature stability: Ensures consistent performance in varying conditions.
  • Shock and vibration resistance: Protects against mechanical stresses.
  • PPM accuracy and stability: Enables long-term reliability.

Driving the future of factory automation and robotics with precision timing

To thrive in an increasingly digital industrial landscape, manufacturers must embrace precision timing, AI-driven automation and real-time monitoring. As automation advances, leveraging MEMS-based timing solutions and integrating cutting-edge technologies will be crucial in ensuring efficiency, reliability and competitiveness. As the only technology company solely dedicated to precision timing, SiTime is a leader in advanced timing solutions for the next generation of automated and robotic systems shaping the future of manufacturing.

About the author

Toshihito Hishiki is Sr Manager of Customer Engineering at SiTime. He leads hardware engineering teams for PCB developments (IC reference boards, R&D FPGA boards and consumer volume production boards) and the IC product validation by measurements and simulations, DVT, EVT, PLC (Product Life Cycle), support documents, strategic customer support and market launch.