Manufacturing KPI Dashboard Example

Manufacturing Performance Dashboard

It's the second week of July. School districts want their new lockers bolted in before teachers come back in August, every dock door has a truck promised to it, and the plant has worked four Saturdays in a row. The shipping report says 97% on time, and everyone is pleased. Nobody has asked yet what the Saturdays cost.

Overtime is part of normal life in a US plant. Production and nonsupervisory workers in manufacturing averaged 4.1 hours of overtime a week from June to August 2026, up from 3.6 in October 2024, according to Bureau of Labor Statistics data published on FRED. Yet most plants aren't full: the Federal Reserve put manufacturing capacity utilization at 75.7% in August 2026, 2.5 points below its 1972 to 2025 average. A seasonal manufacturer lives at both ends of that, half-empty in December and running flat out in July.

The flat-out months are where people get hurt. In the BLS injury and illness survey for 2024, manufacturing recorded 2.7 cases per 100 full-time workers, against 2.3 for private industry. Showcase, partition, shelving and locker manufacturing came in at 4.7.

The company on this board is invented: an Indiana maker of steel shelving and lockers, with two product lines under one roof. The monthly data is modeled, start to finish. This is the view from the general manager's office, a month at a time. The hour-by-hour view of a single line, with OEE for every machine, downtime and changeovers, is on our production dashboard example.

What is a Manufacturing KPI Dashboard?

Overview

A manufacturing KPI dashboard puts the promise made to customers, what the plant spent keeping it, and the safety of the crew who kept it on one monthly screen, split by product line, so a gain on one line of the report can be checked against a loss further down.

It starts at the shipping dock. Finished units shipped is the volume the business ran on, tracked without a target because the other numbers are divided by it. On-time shipment to the promise date is what the distributor's scorecard and the school contractor's install crew care about.

Then how the plant made that volume. Capacity utilization shows how full the two shifts were. OEE at the weld cell, the plant's bottleneck, shows how much of its scheduled time turned into good parts at full speed. Overtime share shows how much of the work spilled past the two shifts, and direct labor hours per unit shows whether those hours turned into product or into waiting, fixing and learning.

Then what went wrong. Scrap and rework cost as a share of sales is the internal bill for bad parts. Customer defect rate, in parts per million, counts the ones that got out of the building and came back as a claim.

The OSHA recordable incident rate covers the crew. Gross margin sits over the top as one company figure, with a shelving and locker split behind it for the months that need explaining.

Who benefits from this dashboard?

1. General Manager: Gross margin by product line, read next to on-time shipment, decides the big calls: whether to quote that school district's rush job, raise locker prices, or add a third shift.
2. Plant Manager: Before approving another Saturday, they check overtime share, utilization and weld-cell OEE against how scrap moved the last time the plant ran this hot.
3. EHS Coordinator: The recordable rate turns the OSHA 300 log into a trend, and lined up with overtime share it makes the case for a cap in the same meeting where the schedule gets set.
4. Quality Manager: Customer PPM says what customers are seeing, and scrap cost says what it took to keep the rest from them. When both rise in the same month, inspection is being rushed.
5. Sales and Customer Service: Distributors score suppliers on shipping on time and arriving right. These are the two numbers sales gets asked about at every quarterly review.

A locker takes nearly twice the labor of a shelving unit, so direct labor hours per unit climbs every summer as locker volume rises. Compare each month with the same month last year, or the board will blame the crew for the school calendar.

Dashboard Example Overview

The company employs about 200 people in one plant in northern Indiana and sells about $65 million a year. Steel shelving goes to material-handling distributors all year. Lockers go to schools, gyms and workplaces, and about half of each year's locker volume ships between April and August, while school buildings are empty. It reports monthly against ten KPIs:

• Finished Units Shipped: Shelving units plus locker units shipped in the month. The one volume figure on the board, with no target of its own: it's the denominator for labor hours per unit and defect PPM, and the context for every other reading.
• On-Time Shipment to Promise Date: Order lines shipped complete on or before the date promised to the customer, divided by order lines due. A partial shipment counts as late.
• Capacity Utilization: Standard hours of output divided by the standard hours available on two five-day shifts. Saturday output counts on top, so a reading in the 90s means the weekends are carrying the plant.
• Constraint OEE: Overall equipment effectiveness at the weld cell, the operation that limits output: availability times performance times quality for the month. An hour lost here is an hour lost for the whole plant, so this is the one OEE figure the monthly board carries. The production example breaks OEE down machine by machine.
• Direct Labor Hours per Unit: All direct labor hours, regular, overtime and agency, divided by finished units produced. It rises with locker mix, with tired crews and with new hires.
• Overtime Share of Labor Hours: Overtime hours divided by total direct labor hours. The early warning for everything below it.
• Scrap and Rework Cost % of Sales: Scrapped steel and labor plus rework labor and parts, at standard cost, divided by net sales.
• Customer Defect Rate: Units with a confirmed customer defect claim, per million units shipped. Bent doors, missing hardware and bad welds all count once the customer reports them.
• OSHA Recordable Incident Rate: Recordable cases over the last 12 months, multiplied by 200,000, divided by all employee hours worked in those 12 months.
• Gross Margin: Net sales less steel, direct labor, plant overhead, scrap and freight, as a share of net sales. Reported for the company and for each product line, so shelving and lockers can be read separately when the total needs explaining.

In October 2024 the plant has one complaint it can't ignore. On-time shipment is 87.4%, its largest distributor wants 95%, and two school contractors still remember the lockers that turned up after the first day of class. The rest of the board is calm: overtime runs at 3.0% of hours through the winter, scrap and rework at about 2% of sales, customer defects around 1,800 PPM, OEE at the weld cell 75.9% and gross margin 22.9%.

So in March 2025 the company makes one rule: the promise date is sacred. Any time the backlog passes ten working days, Saturday is scheduled. Agency welders join the locker line, steel is expedited when a coil is short, and late orders go out by the fastest freight available.

The rule works on the number it was written for. On-time shipment reaches 94.6% in April and 97.2% in July 2025, the best the plant has recorded. June ships 16,810 units, 25% more than February.

The other numbers move more quietly. Overtime share climbs from 3.0% in February to 23.7% in June. Labor hours per unit go from 1.70 to 2.05 by July. OEE at the weld cell falls from 77.5% in January to 63.7% in July: preventive maintenance keeps getting pushed to make room for Saturday runs, agency welders run the fixtures slower, and more welds fail inspection. Scrap and rework rises from 1.9% of sales in January to 3.4% in July, and customer defects double, from 1,793 PPM to 3,619, mostly locker doors that won't close square and hardware bags left out of the carton. The rolling recordable rate goes from 3.55 in March to 4.97 in August, worse than the 4.7 BLS reports for shelving and locker makers as a group.

Gross margin shows it last. Summer should be the best stretch of the year, with locker fixed costs spread across nearly twice the winter volume. Instead gross margin slips from 23.1% in March to 20.3% in July. Split by product line, lockers, about 60% of July's sales, earn 21.9% in the season they're meant to carry, and shelving, which shares the Saturdays, falls from 22.5% to 17.9%. The monthly operations meeting had been watching on-time and units. Margin arrived three weeks after month end, by which time the next month's Saturdays were already booked.

In October 2025, with all ten on one board, the company settles on a balance rather than a winner. The on-time target becomes 94%, not 97%. Overtime is capped at 12% of direct hours, and nobody works more than two Saturdays a month. Eighteen permanent second-shift hires replace most of the agency welders, school contractors book their ship slots by March, and the shelving line builds about 1,000 standard units a month ahead in January to March 2026, so summer capacity goes to lockers.

Summer 2026 looks different. Overtime runs between 11.7% and 12.7% from April to July, a shade over the cap in three of those four months. Scrap and rework is 2.3% of sales in July against 3.4% the year before, customer defects are 2,134 PPM against 3,619, OEE at the weld cell is 73.8% against 63.7%, and gross margin is 27.0% against 20.3%. About two-thirds of that margin gain is lockers, which earn 29.5% in July 2026 against 21.9%. The plant ships 17,340 units in July 2026, more than the 16,580 of July 2025, on roughly half the overtime share. By September 2026 the rolling recordable rate is 2.66, just under the 2.7 BLS reports for all manufacturing.

The balance had a price, and the board shows it. On-time shipment drops to 92.1% in July 2026, below the new target, because the plant held the Saturday cap through the peak. Two locker orders missed their install dates. Labor hours per unit ran worse in spring 2026 than a year earlier, 1.78 in February against 1.70, and weld-cell OEE dipped to 72.5% in March, while the new hires learned the press brakes and weld fixtures. And utilization still hit 94.1% in July, so the next jump in locker volume needs another weld cell, not another Saturday.

List of Manufacturing KPIs

Only two targets lean on published figures: the recordable rate on the BLS 2024 rate for all manufacturing, and the utilization band on the Federal Reserve's capacity data. The rest are starting points for a two-line steel products plant.

Why Manufacturing Dashboards Matter

In a plant with more than one product line, the shipping report, the injury log, the scrap tickets and the margin statement are kept by four different people and land on four different days. Each can look fine on its own while the plant buys one result with another.

On-time shipment is the easiest to buy. Overtime pays for it first, and overtime then shows up in labor hours per unit, in scrap and in the recordable rate, usually in that order and a few weeks apart. OEE at the bottleneck often moves before any of them, because the first thing a rushed plant cuts is the weld cell's maintenance window. Utilization pulls the same way: a full plant looks efficient, but it has no room for a rush order, so on-time and overtime are the ones that give.

Gross margin says whether the trade-offs paid. The product-line split says where they didn't. In July 2025 the company figure, 20.3%, read as one bad month. Split by line, it was lockers earning 21.9% in the season they should earn most, on six of every ten dollars sold, and shelving losing almost five points to Saturdays it didn't need, because it shared a crew and an overhead pool with a locker line that did.

Next spring the school orders will come in again, and someone will ask for 97% on time. The useful answer isn't yes or no. It's how many Saturdays that takes, and what last summer's Saturdays did to the scrap bin, the claims file and the OSHA 300 log.