How to Calculate Scheduling Software Payback (With Your Own Numbers)

A scheduling software payback calculation is honest only when every input comes from your own plant: the investment total, the hours you currently lose, and the rate you price those hours at. The arithmetic itself is trivial (investment divided by monthly savings), and it is not where cases go wrong. They go wrong on the savings side, where a borrowed percentage replaces a measurement. This guide gives you the four measured inputs, the arithmetic that assembles them, a fully worked example using placeholder numbers you replace with yours, and the three assumptions that move the answer the most.

EDGEBIC by User Solutions is a finite capacity scheduling system, and this page will not tell you what it costs you or how fast it pays back. Those depend on your license configuration and on how far your published plan sits from your floor. What this page does is hand you the calculation so the number is yours.

Why You Have to Compute This Yourself

Two shops with the same headcount, the same revenue, and the same industry can have paybacks that differ by a factor of five. The driver is not size. It is the size of the gap.

A shop running one product family on interchangeable machines, with changeovers that cost the same in every direction and a plan that already matches reality, has a small gap. There is not much on the table, and an honest vendor says so. A shop with sequence-dependent changeovers, one hard bottleneck, and a Monday plan that everyone on the floor privately ignores has a large gap. The same software produces wildly different returns in those two plants, because it is removing wildly different amounts of waste.

That is why the pillar guide on measurable results leads with mechanisms rather than percentages, and it is why the first half of this calculation is measurement, not math.

The Four Inputs You Measure

Measure for four weeks. Use tools you already own. Do not buy anything yet.

Input 1: Changeover hours you can recover

Stand at your worst machine (the one with the longest or most variable setups) and log every changeover: from what, to what, how many minutes. A clipboard works. At the end of four weeks you have a from-to picture of where the time goes.

Now build the recovery estimate. Take one representative week and re-sequence its jobs on paper to cluster like with like, while still respecting due dates. Subtract. The difference is recoverable changeover hours per week, and it is measured rather than assumed.

This is exactly what a setup matrix automates. In the documented paint booth example, the true from-to times (60 minutes light to dark, 240 minutes dark to light) turned a plan that claimed 90 minutes of setup into one that showed the real 330, and re-sequencing then brought the same three jobs down to 90 actual minutes.

Input 2: Recovery overtime you can avoid

Overtime comes in two flavors and only one of them is recoverable. Demand overtime is hours you run because you genuinely sold more than a straight shift can build. That is good overtime and scheduling does not remove it. Recovery overtime is hours you authorize because a job slipped, a machine was double-booked, or a due date arrived faster than the plan admitted.

Log which is which for four weeks, by reason. The recovery column is your input, priced at your overtime premium rather than base rate.

Input 3: Expedite and rescheduling labor

Count two things. How many times per week does someone hand-carry a job past the queue? And how many hours per week does your planner spend rebuilding the schedule by hand after a disruption?

That second number is often the largest single line and the easiest to verify, because the person doing it can tell you. In the User Solutions record, Homestead Furniture went from 40 hours a week of scheduling effort to 2. Your starting number is whatever your planner reports; your target is your own estimate of what stays manual.

Input 4: Capacity you can sell

This one is optional and should be included only if you are genuinely capacity-constrained and turning work away. If you are, recovered hours convert to revenue at your contribution margin rather than your billing rate. If you are not turning work away, recovered hours convert to cost avoidance only, and including revenue would inflate the case. Say which situation you are in, in writing.

The Arithmetic

With the four inputs measured, the assembly is straightforward.

Monthly savings =
    (recoverable changeover hours/week x 4.33 x fully burdened shop rate)
  + (recovery overtime hours/week x 4.33 x overtime premium rate)
  + (planner hours saved/week x 4.33 x planner loaded rate)
  + (sellable recovered hours/month x contribution margin per hour)

Total investment =
    licensing
  + implementation services
  + (internal hours x loaded rate)
  + data cleanup effort

Payback (months) = Total investment / Monthly savings

Use 4.33 rather than 4 for weeks per month. It is a small correction and it signals to a finance reader that the model was built carefully.

A Worked Example (Replace Every Number)

The figures below are placeholders chosen to demonstrate the mechanics. They are not claims about any plant, including any customer of ours.

Payback in months equals your total investment divided by $5,155. Fill in the two blank rows from a real quote and you have the number, built entirely from measurements you took yourself.

Notice what is missing from the savings table: no inventory reduction, no morale, no "improved customer satisfaction," no revenue you hope to win. Every line is auditable in your own records four weeks before and four weeks after. That is what makes the number survive a challenge.

The Three Assumptions That Move the Answer

Show these as a sensitivity table, not a footnote.

Recovery rate. You will not capture 100% of the recoverable changeover hours in month one. Show the payback at 100%, 50%, and 25% capture. If the case only works at 100%, say so.

Rate basis. Fully burdened rate is defensible if the recovered hours genuinely displace other cost. If they simply create idle time on a machine you were paying for anyway, direct labor is the honest rate. Show both.

Timeline. Every implementation date has slip risk. Show the payback if go-live moves a month later. The documented Plastilite Fourth Shift integration completed in 5 days, which is real and fast, and it happened because clean ERP exports were available. Treat it as evidence that speed is possible, not as your schedule. The 5-day implementation process explains what has to be true for that pace.

What Changes the Payback Most in Practice

Four shop characteristics dominate the answer.

If none of those four describe you, be honest in the write-up. A shop with one shift, identical machines, and stable orders will see a smaller return, and a case that admits this is more credible than one that does not. The buyer's checklist has the diagnostic questions.

Where the Savings Actually Come From

Each savings line traces to a specific behavior in the schedule, which is what lets you defend it.

• Changeover recovery comes from resolving true from-to setup times and then sequencing to avoid the expensive transitions. See how setup time is resolved.
• Overtime avoidance comes from planning against real capacity instead of flagging overloads for a human. That is the difference explained in finite vs infinite capacity scheduling.
• Planner time savings come from rescheduling that preserves completed work automatically instead of requiring a manual rebuild. See how to reschedule safely.
• Any further gain from the optimizer is bounded honestly: the multi-run layer is guaranteed never worse than the baseline schedule, and the exact solver reports a proven optimality gap. Nothing is applied until a planner reviews the comparison and accepts it. See the optimizer guide.

That traceability is the difference between a payback calculation and a wish.

Four Ways This Calculation Gets Inflated

Watch for these in your own draft, because a finance reader will find them and the discovery costs you the room.

Double counting the same hour. A changeover hour you recover and then also count as overtime avoided and also count as sellable capacity has been claimed three times. Each recovered hour goes in exactly one line. Decide which and note the decision.

Pricing idle time at a billing rate. If a recovered hour leaves a machine standing rather than running something else, it did not earn revenue. It avoided cost, and the honest rate is lower.

Assuming month-one capture. Savings ramp. The first month is data correction, and the recovery rate climbs over the following two. Model it as a ramp rather than a step, or your payback date arrives before your savings do.

Counting the planner's hours twice. If the planner's freed hours are counted as a saving, they cannot also be counted as available for the implementation work. Pick one.

What a Finance Reader Will Ask

Four questions, reliably. Have the answer ready rather than discovering them in the meeting.

"Where did the baseline come from?" Answer with the method and the dates, not the number. "Four weeks of changeover logging at the paint booth, 14 March to 11 April, recorded by the shift lead."

"What happens if we do nothing?" The costs continue. That is the comparison, not against a perfect world. What an unreliable schedule actually costs you itemizes the ongoing spend.

"Who else has done this and what did they get?" Cite the documented record as evidence that the mechanism works at scale (GE Railcar moving on-time delivery from 30% to over 90%, Cummins running the approach across 33 locations, a US Navy carrier refit scheduled with 26,000+ tasks) and then say plainly that those are other plants, and your number comes from your baseline.

"What is the downside case?" The pessimistic column. If you do not offer it, the question implies you did not consider it.

Presenting It

Put the calculation on one page with three columns (pessimistic, expected, optimistic), the assumptions listed underneath, and the raw baseline data in an appendix. Lead with the measured baseline, not the savings. Anyone who challenges the savings will end up challenging the baseline, and the baseline is the part you can defend line by line because you collected it.

For the wider case around the number (cost structure, stakeholder questions, what not to claim), see building the business case for scheduling software. For the mechanisms behind each documented outcome, see the measurable results guide.

When your baseline is ready, contact US and bring it. We will schedule your real jobs in EDGEBIC so you can compare the output against the plan you publish today, and you can finish the calculation with a real quote rather than a placeholder.