From Design Revision to High-Yield Production Without Rework and Scrap
When yield drops or defects escape, the problem is rarely mysterious - but the evidence usually is. Design revisions, line settings, operator actions, and supplier inputs are spread across systems that don’t agree with each other. By the time an issue is visible, scrap is already counted and root cause turns into forensic work.
IndX connects engineering, manufacturing execution, quality, and supply chain systems so that electronics & semiconductor production runs against what was actually approved, not what someone thought was current:
- Design revisions propagate cleanly to the line, without manual handoffs
- Equipment and operators execute against the correct version and parameters
- Process drift, defects, and anomalies surface while there is still time to intervene
- Unit-level traceability makes failures explainable, not debatable
What this fixes in practice
Yield loss is rarely the result of bad engineering. It comes from small disconnects between design intent and execution reality that compound quietly across shifts, lines, and sites. When data lives in separate tools, action always comes too late - after volume is produced and margin is gone. IndX exposes those disconnects in real time, so problems are addressed while production is still running, not after the damage is done.
How We Support Electronics & Semiconductor Manufacturing
Product Lifecycle & Change Management
Problem: Frequent revisions disrupt production and quality.
IndX Solution: Controlled lifecycle and change management that keeps engineering and manufacturing aligned.
Manufacturing Operations Management (MOM)
Problem: Execution data is siloed across lines, tools, and plants.
IndX Solution: MES that enforces workflows, captures data at source, and supports high-mix production.
Manufacturing Quality & Traceability
Problem: Defects and escapes are hard to isolate and contain.
IndX Solution: Unit-level genealogy and in-process quality controls.
Digital Twin & Yield Optimization
Problem: Yield improvements rely on trial-and-error changes.
IndX Solution: Simulation and analytics to test process changes before they hit production.