Turning Hidden Component Attrition into Higher Line Utilization

How a North American Electronics Manufacturer Reduced Materials-Related Downtime Through Real-Time Factory Intelligence

A leading North American electronics manufacturer uncovered one of its largest hidden drivers of downtime: component attrition that silently created material shortages. Using the Arch Factory Intelligence Platform, the manufacturer identified root causes, traced mispicks and dropped components to specific machines and placement heads, and reduced materials-related downtime across key SMT production lines.

The result was improved line utilization, faster maintenance response, and a data-driven foundation for more accurate materials planning and operational performance.

HIGHLIGHTS:

of downtime attributed to the top identified causes immediately after deployment

The largest sources of lost production became visible immediately, enabling faster prioritization and corrective action.

of downtime traced to missing material

Arch identified Missing Material as one of the largest preventable drivers of downtime across monitored SMT lines.

component attrition rate identified on a critical placement head

Nearly one in every 50 components was being dropped or mispicked, a problem that had previously gone undetected.

Improved utilization on Arch-enabled production lines
Arch-enabled production lines improved utilization during the pilot while comparable non-instrumented lines remained flat or declined.
Real-time machine diagnostics accelerated maintenance
Maintenance teams identified underperforming placement heads, feeder segments, and components in minutes rather than days.

The Challenge

Before implementing Arch, the manufacturer had no reliable way to measure component attrition or connect material shortages back to machine performance. This created several operational challenges.

Material shortages were a significant source of downtime.
Missing material accounted for approximately 12% of downtime across key SMT production lines.
Component attrition was invisible.
Dropped components and mispicks were not measured, causing planning systems to forecast material requirements based only on successful placements while overlooking actual losses.
Root causes varied across machines, placement heads, and feeder segments.
One critical placement head experienced a 1.95% component attrition rate, with a single feeder segment contributing disproportionately to dropped components.
Planning lacked operational context.
Actual material consumption varied by production line, machine condition, feeder segment, lighting, camera calibration, and mechanical performance, making accurate forecasting difficult.

Without a unified operational view, the manufacturer could not systematically reduce shortages or improve overall line utilization.

The Arch Approach

The Arch Factory Intelligence Platform delivered real-time visibility into downtime, component attrition, and machine performance, allowing the manufacturer to uncover and address the root causes of materials-related interruptions.

Automated downtime intelligence
Arch React automatically categorized downtime events and quickly identified Missing Material as one of the largest contributors to lost production.
Real-time component attrition diagnostics
Interactive dashboards highlighted elevated component attrition rates by machine, placement head, feeder segment, and component. Maintenance teams used these insights to quickly identify and service underperforming equipment.
Part-level planning intelligence
Arch identified that material planning did not account for component attrition. Working with the customer, Arch developed a Placement Ratio Report that provided planners with part-level and line-level attrition rates, enabling more accurate material forecasts.
Utilization benchmarking
Arch compared instrumented and non-instrumented production lines, demonstrating measurable utilization improvements on the lines using Arch throughout the pilot.

Key Outcomes

Reduced Materials-Related Downtime Through Root Cause Analysis

Arch revealed that 12% of downtime resulted from missing material and traced those shortages back to machine-level mispicks, dropped components, and underperforming feeder segments.

Faster Maintenance Through Real-Time Machine Visibility

Operations teams quickly identified high-component-attrition placement heads, including one operating at a 1.95% attrition rate, allowing maintenance teams to intervene before shortages created additional downtime.

Improved Line Utilization

Production lines using Arch demonstrated measurable utilization improvements during the pilot while comparable non-instrumented lines remained flat or declined.

Smarter Materials Planning

By measuring actual component attrition at the part and production-line level, planners could begin forecasting the correct material quantities, reducing shortages and helping prevent future production interruptions.

Strategic Lessons

Machine-level data reveals hidden causes of downtime.
Material shortages were initially believed to be planning issues. Arch showed they were often driven by machine-level component attrition.
Granular operational visibility is essential.
Component attrition varied by production line, machine, placement head, feeder segment, and component. Measuring these differences enabled targeted corrective action.
Real-time intelligence improves operational performance.
Only production lines using Arch demonstrated measurable utilization improvements during the pilot.
Better materials planning starts with better operational data.
When manufacturers understand where and why components are actually consumed, planning becomes more accurate, maintenance becomes more proactive, and production becomes more predictable.