Combined $/hr by Equipment Type (Weld, Assembly, Paint, Blast)
$/hr Weld Time
$/hr Assembly Time
$/hr Paint Time
$/hr Blast Time
Projected vs Realized Performance
Compare GOAL (projected) hours against actual realized hours for completed projects — same revenue, different efficiency. Identify variance by department, bay, and individual project.
Conveyor Efficiency Root-Cause Deep Dive
Focused diagnostics: yearly type trend, production vs steel-fab quarterly split, conveyor mechanical cause, and Paint/Weld slippage.
Yearly $/hr by Equipment Type (Total Hours Basis)
Plant = Green · Conveyor = Blue · Magnum = Maroon
Production vs Steel-Fab — Quarterly $/hr
Production = Weld + Assembly + Paint + Blast | Steel-Fab = FOR + PLAS + MAC + SAW + DRILL
Conveyor Mechanical Cause: Bigger Jobs for Less Revenue
Bars = avg revenue/job, lines = avg hours/job
Conveyor Bottleneck Profile — Avg Hrs/Job by Dept
Does Weld, Paint, or Blast dominate cycle time?
Paint & Weld Slippage vs Plan (Goal/Actual %)
Below 100% = actual hours exceeded goal
$/hr Volatility by Equipment Type
Standard deviation and coefficient of variation (CV%) show how consistent $/hr is job-to-job. Higher CV% = more volatile.
Product Mix: Hours vs Revenue by Department
Do Conveyors or Plants consume more hours relative to their revenue share?
How to read the Hours Share chart
Each stacked bar shows what percentage of a department's total hours each equipment type consumes. If Plants use 60% of Weld hours but only generate 40% of revenue, Plants are less efficient in Weld. Compare the stacked bars against each type's revenue share in the table below to spot imbalances.
Hours Share by Department
$/hr by Type & Department
Plant vs Conveyor vs Magnum — Head to Head
Three-way comparison of hours, revenue, and $/hr efficiency across every department
Total Hours by Department Over Time
Monthly production hours trended for each department
Weld + Assembly Hours
Paint & Blast Hours
Year-over-Year $/hr Trend
Complete yearly breakdown by equipment type
Stock Building Intelligence — $/hr by Product Model
Which products generate the most revenue per labor hour? Only products built 8+ times shown.
How to read this section
$/hr = Total Revenue ÷ Total Production Hours across all builds of a product. Higher $/hr means more revenue generated per labor hour invested. Use this to decide which products are best to build for stock. Only products with 8+ completed builds and serial-matched revenue are included.