Turning Hidden Capacity into Higher Throughput

How a Global Electronics Manufacturer Increased Line Capacity by 60%, First Pass Yield Improved to 99.5%, and Reduced Material Waste Below 0.5% with Arch

Using Arch’s Factory Intelligence Platform, a global electronics manufacturer transformed how engineering, supervisors, and operators managed productivity, material waste, and real-time decision making across high volume SMT production lines.

What began as a pilot quickly delivered measurable operational improvements. By replacing assumptions with real-time production intelligence, the team redefined cycle times based on actual machine behavior, increased available line capacity by 60%, reduced material waste below 0.5%, and improved first pass yield to 99.5%.

Arch also provided the operational intelligence needed to collaborate more effectively with the equipment manufacturer, resulting in machine configuration improvements that further increased line performance.

HIGHLIGHTS:

First Pass Yield

Improved cycle time accuracy, line balancing, and faster issue resolution increased first pass yield on a high volume production line.

Increase in Available Line Capacity

Engineering uncovered hidden underutilization, increasing effective capacity from 25% to 40% and enabling production to be balanced across two lines.

<0.5% Material Waste
Real-time visibility into material loss allowed engineers and operators to rapidly identify and correct waste sources.
<2 Minute Response Time
Supervisors identified production issues immediately and coordinated corrective action before problems spread.

The Challenge

The manufacturer’s highest volume SMT line was operating below its potential, but engineering and production teams lacked the visibility to understand why. Performance data existed across multiple systems, making it difficult to identify bottlenecks, balance the line, and respond quickly to emerging issues.

Key challenges included:

Performance data spread across multiple systems, limiting root cause analysis
Limited visibility into cycle time drift and material waste
Difficulty balancing operators, feeders, and production resources
No clear indication of which production issues required immediate attention
Inconsistent response times between experienced and newer technicians

The Arch Approach

Arch deployed its Factory Intelligence Platform across the manufacturer’s SMT operations, enabling engineering, supervisors, technicians, and equipment partners to act on live, validated operational data.

Unified Production Visibility
Engineering analyzed throughput, operator activity, quality, and production performance in one place, enabling better staffing decisions and line balancing.
Real-Time Material Waste and Cycle Time Intelligence
Arch exposed material waste by machine and process while providing actual cycle time data that helped redefine takt time and improve line balance.
Faster Supervisor Response
Real-time operational visibility allowed supervisors to identify production issues and coordinate corrective actions in less than two minutes.
Data-Driven Equipment Optimization
Arch identified machine level performance issues that enabled the equipment manufacturer to optimize machine configuration and preventive maintenance.
Expanded Performance Intelligence
Engineering gained visibility into throughput, takt time, material waste, feeder behavior, and capacity utilization, providing a deeper understanding of overall line performance.

Key Outcomes

First Pass Yield Improved to 99.5%

Real-time operational intelligence enabled production teams to identify and resolve issues faster, improving first pass yield to 99.5% while reducing defects and rework on a high volume production line.

Material Waste Reduced Below 0.5%

Engineering and operators used live waste visibility to rapidly address material loss, minimizing scrap while improving overall production efficiency.

Line Capacity Increased by 60%

Arch revealed that the line was operating at only 25% capacity. After improving line balance and reducing waste, effective capacity increased to 40%, allowing production to be distributed across two lines while maintaining throughput.

Faster Operational Response

Supervisors identified production issues in real time and coordinated corrective actions in under two minutes, improving cross functional collaboration and minimizing disruption.

Stronger Equipment Collaboration

Shared operational data enabled the equipment manufacturer and factory teams to optimize machine configuration and continuously improve line performance.

Momentum for Broader Adoption

The success of the deployment generated interest in expanding Factory Intelligence into additional manufacturing processes beyond SMT.

Strategic Lessons

Shared Operational Intelligence Accelerates Improvement
When operators, engineers, supervisors, and equipment suppliers work from the same operational data, decisions happen faster and improvements scale more effectively.
Real-Time Visibility Reduces Waste
Immediate insight into material loss enables faster corrective action, reducing waste while improving productivity and quality.
Hidden Capacity Often Exists
Operational data revealed significant unused capacity that traditional production reporting had not identified, creating an opportunity for substantial productivity gains.
Better Data Strengthens Operational Execution
Clear operational guidance helps technicians respond more consistently and confidently, reducing variability while improving overall team performance.
Early Success Builds Momentum
Measurable operational improvements created organizational support for expanding Factory Intelligence into additional manufacturing processes.