Predictive Maintenance

Minimize downtime with machine learning-based diagnostics and alerts.

Unscheduled downtime is one of the costliest disruptions in high-volume semiconductor manufacturing. DI-Core’s Predictive Maintenance (PdM™) dramatically reduces the risk of unexpected equipment failures by detecting early warning signs—allowing for proactive intervention before problems impact production. This ensures continuous operation of both test handler and inspection platforms, keeping throughput high and meeting delivery commitments.

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Maximize Uptime

Increased Data-Driven Insights

Spare Parts Forecasting

Customer Benefits

Improved Process Control

Smart factory systems maintain a central expert database that gathers data from equipment, including performance metrics, service history, and test/inspection recipes, ensuring process repeatability and recipe integrity. In high-volume manufacturing, this guarantees that the correct test or inspection conditions are applied consistently, safeguarding product quality and traceability across shifts, lines, and lots.

Reduce Downtime and Repair Costs with Smart Maintenance

Traditional preventive maintenance can lead to over-servicing or missed issues. Smart Maintenance uses predictive algorithms, driven by real-time equipment data and AI, to enable condition-based maintenance only when truly needed. Smart Maintenance provides faster diagnostics and closed-loop feedback on corrective actions to enable AI/ML. This avoids unnecessary technician time, reduces replacement of still-functional parts, and minimizes expensive reactive repairs from catastrophic failures.

Improve Capital Efficiency with Predictive Spare Parts Management

Predictive tools can project wear-out timelines for key components such as motors, actuators, vision systems, or thermal modules. This insight allows customers to stock critical spares just in time, which reduces the inventory of spares required while, avoiding delays caused by parts unavailability.

Extend Equipment Lifetime Throught Early Issue Detection

By identifying issues like bearing wear, air leaks, thermal drift, or mechanical misalignment early, operators can address them before they escalate into tool-damaging failures. This proactive maintenance extends the operational life of both test handlers and optical inspection systems —maximizing ROI on capital equipment investments.

Maximize Uptime with Optimize Service Scheduling

Maintenance can be planned during non-peak hours or integrated into production breaks, reducing impact on operations. The ability to forecast equipment service required by days or weeks in advance enables better workforce planning, improved tool availability, and tighter production scheduling.

Protect Operations and Cleanroom Integrity with Predictive Diagnostics

Sudden equipment malfunctions not only risk damaging wafers or devices—they can also lead to safety issues for operators or contamination in a controlled environment. Predictive diagnostics minimize these risks, contributing to a safer workplace and maintaining strict cleanroom integrity.