KPIs & Targets

Switchgear and Panelboard KPIs: Benchmark Ranges, How to Measure Them, and the Levers That Move Them

The seven operating KPIs of a panel shop, how to measure each one, the levers that move it, and which benchmark figures have a cited public source.

Use a benchmark as a reference point for spotting a gap worth investigating, not as a target. Your own trend, measured the same way every week, says more about your panel shop than any published range.

Every figure shows its basis. A superscript number links to a public source in the Sources list, and the sentence gives that source's context. A figure marked no cited source is kept exactly as originally published because no public source stating it has been verified, so treat it as illustrative.

At a glance

Switchgear and panelboard KPI benchmarks at a glance
KPITypicalStrongBasis
First-pass yield85 to 92%96 to 98% (world-class)no cited source
Terminations per labor hour30 to 45 (manual panel work)55 to 70 (repeatable, jigged builds)no cited source
Test bay utilizationNot stated70 to 80% (target); past 85% leaves no slackno cited source
On-time delivery82 to 90% (make-to-order panel shops)At least 98% (delivery leaders, all U.S. plants)Typical no cited source; leaders: IndustryWeek census1
Shipments inside loading and heat-rise boundsNot stated100% (world-class)no cited source
Copper scrap rate10% or more (sloppy shops)Under 4 to 6% (where it should sit)no cited source
Inspection minutes per panelNot statedStable 45 to 75 min (aim, standard builds)no cited source
Words in parentheses keep the framing of the original guide or the source. Not stated means the original gave no figure for that column. The delivery-leader line comes from a spring 2000 survey of U.S. plants across all of manufacturing, not panel shops alone1.

Method: How the figures in this guide are sourced

A figure with a superscript number is stated by the cited source, listed under Sources with its publisher, location in the document and access date. A figure marked no cited source is kept exactly as originally published because no public source stating it has been verified. It is illustrative, not measured industry data. Worked examples show arithmetic only and are not benchmarks.

First-pass yield

Track first-pass yield (FPY) before anything else. FPY is panels that pass test and inspection with zero rework, divided by panels built.

Typical panel shops run 85 to 92 percent, and world-class sits at 96 to 98 percent no cited source. Each point of FPY below target adds real teardown labor and takes a test bay slot that could have shipped a panel.

How to measure

  • Divide panels that pass test and inspection with zero rework by panels built.
  • Report it per assembler and per panel type, because the variance tells you where to coach.

What moves it

  • Wire-labeling discipline.
  • Poka-yoke, or mistake-proofing, in the harness layout.
  • A torque audit that catches loose lugs before hi-pot testing rather than after.

See how yield eats into test capacity with the Test Bay Capacity calculator, which takes first-pass test yield as an input.

Terminations per labor hour

Termination productivity is the labor KPI. Manual panel work benchmarks around 30 to 45 terminations per hour typical, with 55 to 70 per hour on repeatable, jigged builds no cited source.

If your Panel Wiring Labor actuals show 25 per hour, look for missing pre-cut harnesses, cramped wire duct, or time lost tracing wires. Pre-kitting and pre-cut, pre-labeled harnesses commonly lift throughput 20 to 35 percent without adding headcount no cited source, which shows up directly in this metric.

How to measure

  • Count terminations from the wiring schedule.
  • Divide by wiring labor hours from your time records.
  • Compare jigged, repeat builds separately from one-off panels.

What moves it

  • Pre-kitting parts for each panel.
  • Pre-cut, pre-labeled harnesses.
  • Duct layouts that leave room to reach every termination.

Turn terminations into labor hours and cost with the Panel Wiring Labor calculator.

Test bay utilization

Test bay utilization governs your ability to ship. It is bay hours used divided by bay hours available.

Target 70 to 80 percent, because pushing past 85 percent leaves no slack for retest and stalls the floor no cited source.

For example, if you build 8 panels per day and a single-shift bay tests 6 per shift, you are 2 panels a day short of capacity and panels queue.

How to measure

  • Divide bay hours used by bay hours available.
  • Compare panels built per day with panels the bays can test per day.

What moves it

  • A second test bay.
  • Off-shift testing.
  • Standardized test procedures that cut test time per panel.
  • Pre-checks that reduce retest loops.

Model bay throughput from units per cycle, available cycles, uptime and first-pass test yield. Test Bay Capacity

On-time delivery

On-time delivery (OTD) is the KPI customers actually score you on. Typical make-to-order panel shops run 82 to 90 percent OTD no cited source.

The public reference point for delivery leaders is higher. In the IndustryWeek Census of Manufacturers, a spring 2000 survey of more than 3,300 U.S. plants run with PricewaterhouseCoopers, delivery leaders were plants with on-time delivery of at least 98 percent, and only one-third of plants reached it1. The survey covered all of U.S. manufacturing, not panel shops alone.

OTD dies from late engineering release, long-lead breaker shortages, and rework at test. The rework part is predictable, so plan for it.

For example, if FPY is 90 percent, roughly 1 in 10 panels needs rework time built into the plan, so a zero-buffer schedule is guaranteed to slip.

How to measure

  • Count panels shipped on or before the committed date, over panels shipped.
  • Log the cause of every late panel: engineering release, a device shortage, or rework at test.

What moves it

  • Earlier bill of materials lock.
  • Dual-sourcing long-lead devices.
  • A protected schedule buffer sized to your FPY.

Size that buffer by entering your yield in the Test Bay Capacity calculator.

Loading and heat-rise design margins

Thermal and loading design margins are quality KPIs, not just calculations. Track the percentage of panels shipped with breaker loading margin above 10 percent and enclosure heat rise below the nameplate limit no cited source.

World-class shops hold 100 percent of shipments inside these bounds no cited source, because a violation is a field callback. A drift toward sub-10 percent margins signals that sales is accepting loads the standard frame cannot carry no cited source, which is a design-review lever, not a shop-floor one.

How to measure

  • Record the calculated loading margin and heat rise for every job.
  • Report the share of shipped panels inside both bounds.
  • Trend the margins across jobs so a slow drift shows up.

What moves it

  • Design review of loads before the order is accepted.
  • Moving to a larger frame when a load does not fit the standard one.

Copper scrap rate

Scrap and copper utilization protect material cost. Copper scrap rate is offcuts and miscut bar divided by copper purchased.

It should sit under 4 to 6 percent, while sloppy shops hit 10 percent or more no cited source.

For example, a shop buying 40,000 lb of copper a year at 8 dollars per lb that cuts scrap from 9 percent to 5 percent saves 40,000 lb x 4% x $8, or roughly 12,800 dollars a year, a lever that costs only planning discipline.

How to measure

  • Divide offcuts and miscut bar by copper purchased.
  • Reconcile busbar weight takeoffs against actual purchases each month.

What moves it

  • Nesting bar cuts.
  • Standardizing bar stock lengths.
  • Monthly reconciliation of takeoffs against purchases.

Build the copper takeoff you reconcile against purchases. Copper Busbar Weight

Inspection minutes per panel

Inspection burden per panel is a KPI worth bounding, not minimizing to zero. Aim for a stable 45 to 75 inspector-minutes per panel on standard builds no cited source.

Rising inspection time usually means upstream quality is slipping and inspectors are catching what the process should prevent. In-process torque marking and continuity self-checks by the assembler cut end-of-line inspection time 20 to 30 percent while raising FPY no cited source, so two KPIs move together.

How to measure

  • Record inspector-minutes for every panel.
  • Keep standard builds and custom work in separate series.
  • Watch the trend, since a rise is an early warning on upstream quality.

What moves it

  • Torque marking during assembly.
  • Continuity self-checks by the assembler.
  • Pushing checks upstream rather than adding inspectors.

Inspection minutes are labor too; cost them alongside wiring with the Panel Wiring Labor calculator.

How to build your own baseline

Roll these KPIs into one review. A weekly board showing FPY, terminations per hour, test bay utilization, OTD, design-margin compliance, copper scrap and inspection minutes per panel gives a plant manager the whole operating picture on one page.

  • Write each KPI's definition down and keep it fixed.
  • Collect several months of your own data before you set a target.
  • Give each metric a baseline from your own records and a target, then assign one lever per gap.
  • Act on the worst two metrics each week rather than all seven at once.

Shops that review these seven numbers weekly and act on the worst two typically close half the gap to world-class within two to three quarters, without capital spend no cited source. Most of the loss is process discipline rather than equipment.

Safety is one KPI with a public industry average. In 2024, U.S. switchgear and switchboard apparatus manufacturing (NAICS 335313) recorded 1.7 total recordable injury and illness cases per 100 full-time workers, with 0.7 days-away, restricted or transferred (DART) cases, against 2.7 and 1.7 for all U.S. manufacturing2.

Sources

  1. Viewpoint -- Achieve Superior On-Time Delivery Performance (based on the Fourth Annual IndustryWeek Census of Manufacturers). IndustryWeek (F. A. Pecson, former PricewaterhouseCoopers Census team member); survey run with PricewaterhouseCoopers. published December 21, 2004. Section 'On-Time Delivery Defined', paragraphs 1-2. Accessed September 30, 2026.
  2. Table 1. Incidence rates of nonfatal occupational injuries and illnesses by industry and case types, 2024. U.S. Bureau of Labor Statistics, Survey of Occupational Injuries and Illnesses. published 2025. Rows 'Switchgear and switchboard apparatus manufacturing' (335313) and 'Manufacturing' (31-33). Accessed September 30, 2026.

Published 2026-07-01.