Manufacturing Capacity Planning

CAPACITY YOU CAN PROVE.
PRICES YOU CAN DEFEND.

Today, both stem from routing standards that drifted years ago and an availability number that nobody measured. Compute them from demonstrated utilization and demonstrated cycle times instead, so the date you promise and the price you quote rest on what your machines have actually done.

Request a Demo Explore MaximaOS

Capacity & Quoting Hero-1

YOUR CAPACITY PLAN IS ONLY AS ACCURATE
AS THE DATA BEHIND IT.

Overpromise, and you pay in overtime and expedited freight. Underquote, and you lose margin. Underpromise, and you lose work. Add a machine you didn’t need, and you lose capital. It all comes back to the same problem: capacity built on outdated standards and assumed availability. Base capacity and pricing on what your machines have actually demonstrated.

chart-no-axes-combined (5)

MARGIN ON WORK YOU ALREADY WIN

Quoted times reconciled against demonstrated times and ranked by dollar impact, so the standards mispricing your work get corrected first. No new business required.

HOURS SOLD

Underused windows surface weeks ahead, so short lead times get quoted into capacity that would otherwise have run empty — and aggressive quotes go only where you’re demonstrably fast.

hand-coins

CAPITAL SPENT ON CAPACITY YOU OWN

Purchases deferred where measured utilization headroom exists, and justified with evidence where it doesn’t. “Do we need another machine” stops defaulting to yes.

QUOTE FROM HISTORY.
PLAN AGAINST REALITY.

Measure every cycle on every machine. Compare it to the standard your ERP quotes from. Correct the ones that are wrong. Price the next job based on part history.

Utilization measured, per machine group.

Measure utilization against actual scheduled hours to see where capacity exists. Find available headroom before adding equipment, justify new capacity when you need it, and make make-versus-buy decisions based on real availability.

Production Analytics

Load against capacity, 90 days out.

Compare committed demand against the capacity each machine group has actually demonstrated. Look 7, 30, or 90 days ahead to see where you have room, where you’re overloaded, and where missing data needs attention.

7d capacity

Flagged weeks, down to the work order.

See where demand exceeds capacity or where sellable hours are going unused. Drill into the work orders driving each gap so you can level-load, add overtime, or outsource early, before capacity problems become expensive ones.

flagged capacity

Enter a job. Get a defensible date.

See where new work fits against your real committed load and find the earliest date you can confidently deliver. Get an answer fast enough for a live customer conversation, with the assumptions behind it clearly shown.

CATCH THE LATE JOB

What the part took, on which machine.

Use actual cycle and setup times from the same or similar parts to quote with confidence. See where you run fast, where you don’t, and make every completed job improve the accuracy of the next quote.

production-runs-cycle-time

A variance queue, ranked in dollars.

See where actual run times differ most from ERP standards, ranked by financial impact. Focus corrections where margin is at risk, approve changes before they reach the ERP, and improve quoting, costing, scheduling, and capacity with every update.

cycle times

See It In Action

Compare quoted time and labor to what production actually consumed. See exactly where the estimate missed, fix the standard, and make the next quote better. NO SILENT ASSUMPTIONS.

Group 427322032

schedulling

PRODUCTION SCHEDULING

Live job status feeds the schedule, so the queue reflects the floor.

Learn More

labor tracking

LABOR TRACKING & COSTING

The same record, costed. What the hours cost, by job, part, and customer.

Learn More

OEE

OEE & PRODUCTION ANALYTICS

Where the missing utilization went, decomposed into its causes.

Learn More

downtime

DOWNTIME TRACKING

The largest single component of the capacity you are not using.

Learn More

TESTIMONIALS

THE WEEKLY CAPACITY CALL GOT SHORTER.

Manufacturers promising dates from evidence, quoting from demonstrated times, and deferring capital they didn’t need to spend.

Explore Case Studies

MayvilleEngineering_IndustrialEquipment_FullColor 1 [Vectorized]

Mayville Engineering

After implementing MachineMetrics, we saw between a 10 - 15% improvement in overall uptime and, on top of that, a 15-20% efficiency gain. Since we run four shifts, that's the equivalent of almost another shift for free.

- Michael Wisnefsky, Engineering Manager

GeneralGrind_JobShops_FullColor 1

"You just don't realize how much extra capacity you really have. We've doubled that utilization."

- Blake Bieri, COO, General Grind and Machine

MorganOlson_Automotive_FullColor 1 [Vectorized]

A 20% increase in utilization across all machine assets, quantified conservatively. Machines the plants had been asking for went unbought, and production that had been going to outside vendors came back in-house.

EXPLORE MORE CONTENT

WHAT IS THE EXECUTION GAP COSTING YOU?

CALCULATOR

Manufacturing ROI Calculator | What the Execution Gap Costs You

See what production gaps cost you in overtime, scrap, tooling, and maintenance, and how fast a modern MES pays for itself. Instant results.

WEBINAR

The Blind Spots in Your ERP (And They're Costing You)

Join us for a financial conversation for leaders who want to understand where ERP numbers stop being trustworthy, and what it takes to close the gap.

CASE STUDY

Paragon Medical Doubles Capacity with No Additional Machines

With the ROI of a three-month pilot at one facility, Paragon Medical was able to pay for the deployment of MachineMetrics across the entire company.

MachineMetrics OEE Report

BLOG

Increase Production Capacity: Tips to Maximize Manufacturing | MachineMetrics

Increase production capacity in manufacturing, with these tips inclding including optimizing processes and equipment to maximize output efficiently.