Magic Consulting
Outcome · Capacity & Throughput

Get more out of the lines you already own.

We typically lift throughput and yield by 10-15%+ on the lines we touch — usually before a single piece of new equipment is ordered. The constraint is not always where the spreadsheet says it is, and most lines cannot run to their own nameplate for reasons that have nothing to do with the machine.

10-15%+

Typical throughput and yield gains

8-12 weeks

To a measurable lift on the line

4-8 weeks

Fixed-scope entry on a single line

When This Is For You

You can describe the problem in one sentence. Proving it is the hard part.

Capacity work pays when demand is real and the building is not keeping up. If two or more of these describe your plant, there is almost certainly output sitting in the asset you already own.

01

Demand is up. Capex is tight.

You need more units off existing assets before the next budget cycle. Buying your way out is not on the table, and an 18-month equipment lead time would not help anyway.

02

The line runs, but micro-stops eat real hours.

Short-duration stoppages, alarm noise, manual resets. None of it shows up in a monthly report, and together it is costing you a shift a week.

03

Yield bounces and nobody knows why.

Some weeks you ship clean. Some weeks scrap is up four points. The data exists somewhere, but nobody can tell you what changed.

04

Operators are firefighting, not improving.

Recovery has crowded out prevention. Your best people are the ones putting out fires, which means they are not the ones eliminating them.

What You Get

Outcomes, not deliverables. Measured before, measured after.

Every item below is something you can see on the floor or read off the board. Nothing on this list is a document.

10-15%+ throughput uplift

A sustained gain on the targeted lines, measured against an honest baseline rather than a cherry-picked week.

Yield improvement

Visible, measured, and held. We do not ship a one-off pop and call it done.

Constraint clarity

You will know, with data instead of opinions, what is limiting output today and what becomes the constraint once this one is gone.

Cross-shift consistency

Standard work, daily-management routines, and visibility that close the gap between A shift and the back shift.

A repeatable model

What worked on the first line gets packaged for the next four. The improvement is a method, not a hero project.

An honest read on what is next

If we hit the ceiling of the existing assets, we will say so, and tell you plainly when the next capital spend is justified and why.

Where the capacity usually hides

  • Constraint analysis across the whole line rather than cell by cell — including changeover, staffing pattern, and material presentation.
  • Cycle-time and rate study against real production data instead of the original OEM spec sheet.
  • A sequenced list of interventions with the expected output gain and the effort each one takes.
  • Capital deferred or avoided where the capacity is already in the building.
How We Deliver It

Capacity comes from one of four routes. Sometimes more than one.

We pick what fits the constraint and the timeline you have. Underneath all four is the same engagement model — assess, target, execute, sustain — so the method does not change when the route does.

Strategy & Operations

Decide what to do, in what order, to what end.

When the question is which initiative first, with what budget, and for what measurable return. We turn operational ambition into a sequenced, fundable plan that survives contact with the shop floor.

  1. 01 ListenTwo weeks on the floor, in the data, and with leadership. We earn the right to make recommendations.
  2. 02 FrameMap the constraints — physical, informational, organizational — and put the trade-offs on the table.
  3. 03 SequenceRank initiatives by effect, cost, and risk. The plan is written in your team's language, not ours.
  4. 04 ShipThe first initiative goes live. Success is measured on the line, not at the steering committee.

Digital Integration

Everything between the PLC and the P&L.

OT and IT integration, MES, historians, and the connective tissue that turns shop-floor signals into decisions on the floor and numbers in the boardroom.

  1. 01 DiscoverMap systems, signals, and decision points. Where is data created, where does it need to go, and where does it get lost?
  2. 02 ArchitectDesign the integration layer around your use cases instead of a vendor reference diagram. Standards where they help, pragmatism where they do not.
  3. 03 BuildConnect equipment, configure platforms, write the bespoke pieces — in your environment, with your team alongside.
  4. 04 OperateHand off with documentation, training, and a sustainment plan, so the system stays a system that runs.

Rapid Impact

Weeks, not quarters.

A focused, measurable win on one real line before anyone signs up for a multi-year program. Narrow scope, fixed timeline, an outcome you can see from the floor.

  1. 01 ScopeHalf-day session. We pick the line, the constraint, the metric, and the win condition — in writing, before we start.
  2. 02 InstrumentBaseline the data. Whatever is missing to measure honestly, we add, working from your existing systems where we can.
  3. 03 InterveneThe actual change: a control tweak, a dashboard, an integration, an operating routine. Whatever the constraint demands.
  4. 04 ReportBefore and after on the agreed metric, with an honest recommendation on what to scale, what to leave, and what to retire.

Lifecycle

The system you bought last year should still be earning.

Adoption, training, and sustainment so the platform you funded keeps shipping value. Most manufacturing software dies of neglect, not bad design.

  1. 01 AssessAudit the system, the team, and the operating routines. Where is value leaking? What broke after go-live?
  2. 02 StabilizeFix what is broken, retire what is not earning, retrain what was never learned. Get to a clean baseline.
  3. 03 EmbedMake the system part of the daily routine, so operators, supervisors, and leadership all see themselves in it.
  4. 04 ExtendSmall, scoped enhancements each quarter, guided by what is actually moving the metric rather than a feature backlog.
Proof

One line, doubled. No major capital spend.

Bandit Industries makes heavy equipment. The constraint was the assembly flow, not the market and not the machines.

Case · Bandit Industries

“I have never seen a company move so quickly before on changing the organization, lining up participants, and getting buy-in.”

Ryan Cahalane, Founding Partner & CEO, Magic Consulting

The team measured the real flow — station balance, parts travel, and the gap between the schedule and what the floor actually did — then rebuilt the sequence with the operators who run it. Output went up on the same footprint.

Outcome

2×

Beast assembly throughput, with no major capital spend.

More customer outcomes

Magic Consulting sits inside a group with 15,000+ professionals and 6,000+ customers in 50+ countries — combined group figures, and the reason a single-line engagement can draw on real depth when it needs to.

FAQ

The five questions operations leaders always ask.

How quickly can we expect throughput to move?

Most engagements show a measurable lift inside 8 to 12 weeks on the targeted line. Faster is possible when the constraint is mostly informational — visibility, standard work, scheduling. Slower when the constraint is structural, such as layout, equipment, or a control system that has to be rebuilt first.

Do we have to commit to a multi-year transformation?

No. A common entry point is a rapid-impact engagement on a single line: four to eight weeks, fixed scope, fixed fee. If it works, scaling is an option you take, not a contractual obligation you already signed.

What if we already tried Lean and it did not stick?

We hear this often. Most Lean rollouts that failed did not fail at the tools — they failed at adoption and at the operating routine underneath. We rebuild around how the line actually runs, with the operators in the room, and leave a named owner and a review cadence behind.

How do you measure honestly when our baseline is messy?

Step one is usually instrumentation: closing the gaps in baseline data so the before-and-after is defensible. We will not claim a win against a baseline you cannot trust, because that is how improvement programs lose credibility.

Will this require new software or platforms?

Sometimes. Often the gain comes from using what is already on the floor more deliberately. When new tooling is the right answer we will say so, and tie the spend to a specific metric rather than a category. The right tool is not necessarily a Magic tool.

Related Outcomes

Capacity is usually not the only answer. Here is where it hands off.

Most engagements touch two of these. If you are not sure which one you are looking at, the readiness questions on the Consulting page will point you.

Want more out of the assets you have? Bring us the line that caps you.

Thirty minutes, working session, your numbers. We will walk you through how we would attack it — or tell you straight if we are the wrong people for the problem.