Not Every Process Deserves Level 5. Here's How to Find the 20% That Do.

In the last article, we answered one question: where does your plant actually stand on the operational maturity scale, from Level 0 to Level 5?

And we ended with a conclusion that surprises most Plant Managers: the goal is not to take every process to Level 5. A healthy plant operates with roughly 80% of its processes at Level 2-3 — documented, standardized, integrated — and only about 20% at Level 4-5, where they become predictable and self-regulating.

Trying to take everything to Level 5 is the most expensive mistake in operational excellence. It costs years, consumes budget, and exhausts teams chasing a maturity that most processes do not need and will never repay.

Which leaves the question this article exists to answer:

Which 20%?

Out of dozens of processes across production, quality, logistics, maintenance, and HR — which specific ones deserve the investment of reaching Level 5? Choose wrong, and you spend a year perfecting a process that does not move the needle. Choose right, and every euro of effort compounds toward the one outcome that matters.

The answer is not intuition. It is a chain of logic that starts at the top of the plant and ends at a specific department's door. Let me walk you through it with a real example.

It Starts With the One Number That Matters

Suppose your True North for the year — the single goal that, if achieved, makes everything else secondary — is expressed as a financial result:

Plant Cost Rate: reduce from €20 to €18 per unit.

A quick clarification, because this term carries the entire argument. Plant Cost Rate is what cost accounting calls conversion cost per unit — the cost of converting raw material into finished product: direct labor plus manufacturing overhead, divided by the units you actually produce. It is a Key Result Indicator (KRI) — the language of the Plant Manager.

Two euros per unit does not sound like much. Across a plant producing millions of units a year, it is the difference between winning the next program and losing it to a competitor.

So the True North is set: €20 → €18. Now the real work begins — and it begins with a question that almost nobody asks in the right order.

Question 1: How Must the Processes Perform to Remove €2?

Most plants jump straight to action. "We need to reduce cost, so let's cut headcount, negotiate materials, run a kaizen event."

That is backwards. Before any action, you ask: what would have to be true at the process level for €2 to disappear from each unit?

A €2 reduction does not come from one lever. It comes from improving the operational drivers that feed into conversion cost — the Key Performance Indicators (KPIs) that are the language of the Area Manager:

• Labor efficiency — are we producing the output the available time and labor should allow?
• OEE — are the machines running when they should, at the speed they should, producing good parts?
• Internal PPM — defective parts per million generated inside the plant
• External PPM — defects escaping to the customer
• Scrap — material thrown away
• Obsolete — inventory written off

Every one of these has a direct, calculable relationship to conversion cost. Lower efficiency spreads the same fixed costs over fewer units, so cost per unit rises. Higher scrap means material paid for and thrown away. Higher PPM means rework, containment, and the labor that goes with it.

The relationship runs both ways. If poor performance on these KPIs raises your cost, improving them lowers it. The question is no longer "how do we cut cost" — it is "which of these KPIs, and by how much."

Question 2: By How Much Must Each KPI Improve?

This is where rigor separates operational excellence from wishful thinking. It is not enough to say "improve OEE." You must calculate how much each KPI has to move to deliver the €2.

A simplified, illustrative example shows the mechanics — the real numbers depend on your plant's cost structure, but the logic is universal:

Say your overhead and labor that scale with OEE represent €8 of your €20 Plant Cost Rate, and you currently run at 74% OEE. That €8 is being absorbed across the units you produce at 74%. If you raise OEE to 80%, you produce roughly 8% more units across the same fixed cost base — and that fixed cost per unit drops accordingly. In this simplified case, the move from 74% to 80% OEE contributes on the order of €0.60 toward your €2 target.

Run the same logic for each driver. Scrap from 2.3% to 1.5% removes the material and rework cost of the eliminated defects — perhaps another €0.50. Labor efficiency from 88% to 93% recovers paid hours currently producing nothing — perhaps €0.70. External PPM reduction removes containment, sorting, and penalty cost — perhaps €0.20.

Add them: €0.60 + €0.50 + €0.70 + €0.20 = €2.00.

The exact decomposition is specific to each plant — building that conversion model accurately is the part we develop with clients directly, because it depends on your real cost structure, product mix, and constraints. But the discipline is non-negotiable and you can apply it today: each KPI gets a specific numerical target that, combined, delivers the €2. Not "improve OEE." OEE +6 points. Not "reduce scrap." Scrap −0.8 points.

Now a financial goal has become a set of measurable operational targets, each owned by an Area Manager, each in their own language. But knowing the target is not knowing how to hit it. Which brings the third question — the one that finally points to specific processes.

Question 3: What Is Stopping Us From Reaching These KPIs?

A KPI is a result. You cannot improve a result directly — only the things that produce it. To find those things, you break the KPI open and look inside.

This is where you enter the world of Process Indicators (PIs) — the language of the operator and team leader: kilograms, pieces, minutes, counts. PIs are the variables a person on the floor can actually see and influence.

Take labor efficiency. At its simplest:

Labor efficiency = (units produced × standard time) ÷ (available time × number of operators)

This formula is not academic. It is diagnostic. Every term is a place where efficiency can be lost — and each loss points to a specific process, owned by a specific department.

If efficiency is low because of absenteeism or turnover — operators are missing, lines run short-staffed, available labor does not match the plan. You have identified an HR process: absenteeism reduction, retention, cross-training.

If efficiency is low because of material shortages — the line stops because parts are not at the station when needed. You have identified an internal material supply process, owned by Logistics / Supply Chain.

If efficiency is low because equipment is not available — machines are down, changeovers take too long, breakdowns interrupt the flow. You have identified a maintenance and engineering process.

Do you see what just happened? A financial target — €2 per unit — traveled down through a KPI, got decomposed through a Process Indicator formula, and landed on the desk of a specific department, pointing at a specific process.

The same works for every KPI. Decompose OEE and you find availability (Maintenance), performance (Engineering, Production), quality (Quality). Decompose Scrap and you find process capability, material handling, operator method. Every KPI, broken open, points to the processes that drive it — and the departments that own them.

The Pareto Cut: Which Processes Actually Move the Needle

Here is the final step — and the answer to the question this article started with.

Run this decomposition across all your KPIs and you do not get an even spread. You get a Pareto distribution: roughly 80% of your cost-reduction result comes from roughly 20% of your processes.

A handful of processes — not dozens — are responsible for the bulk of the gap between €20 and €18. A specific absenteeism problem in one area. A specific changeover that eats availability on the bottleneck line. A specific scrap source on the highest-volume product. A specific material flow that starves the most labor-intensive cell.

The decomposition produces a short, specific list — something like this:

• Absenteeism management process — HR — drives labor efficiency
• Changeover on Line 2 — Engineering — drives OEE availability
• Scrap on the top-volume product — Quality — drives scrap and material cost
• Internal replenishment to assembly cells — SCM — drives labor efficiency

Four processes. Four departments. Each mathematically connected to the €2. Each worth taking to Level 5 — self-regulating, detecting its own deviations, correcting before a human notices — because each one, if it drifts, directly threatens the plant's single most important goal.

Everything else — dozens of real, important processes — stays at Level 2-3. Solid, documented, reliable, managed through the Daily Management System. They do not need to self-regulate, because their variation does not threaten the True North. Taking them to Level 5 is effort spent where it will not return.

This is how 80/20 becomes operational instead of theoretical. The 20% is not a guess. It is the output of a calculation that starts at the plant's financial goal and ends at a named process with a named owner.

And it is the reason most operational excellence programs underdeliver. It is not a lack of tools — most plants have the boards, the kaizen events, the problem-solving methods. What they lack is the connective logic that aims all that effort at the few processes that matter for the goal that matters. Without the chain, HR reduces absenteeism because absenteeism is bad, Maintenance improves reliability because reliability is good, Quality attacks scrap because scrap is waste — all reasonable, none coordinated toward a single number. With the chain, every department's work points at the same €2. The work is the same. The targeting is completely different. And the targeting is what decides whether you hit €18 in December or explain why you reached €19.20 and "made good progress."

Where to Start

You do not need the full conversion model to begin. You can start the chain this week, with a whiteboard and your leadership team.

Step 1: Write your True North as a single financial number. If it is not financial yet, ask what financial result it ultimately protects. Get to euros.

Step 2: List the KPIs that drive that number. For each, ask: does improving this move the True North? Keep only the ones that do.

Step 3: For each KPI that matters, write its Process Indicator formula. Break it into components. For each component, ask: when this is bad, which process is failing, and which department owns it?

Step 4: Map the result. The Pareto will emerge — a small number of processes, across several departments, connected most directly to the goal.

Step 5: Those are your Level 5 candidates. Everything else stays solid at Level 2-3, managed through your daily system.

The conversation alone is valuable. It forces every department to see how their work connects — or fails to connect — to the one number the Plant Manager is accountable for. That alignment, surfaced on a whiteboard in an afternoon, is often the first time a leadership team has seen the whole chain at once.

In the next article, I will walk through a complete case study — how I applied this philosophy in a real Tier-1 automotive plant: the True North we set, the chain we built, the processes we identified, and what happened to the Plant Cost Rate over the twelve months that followed.

At AdaptiveOps, we work with manufacturing plants to build this chain end to end — from True North definition through the KPI conversion model to the critical processes that deserve Level 5. If you want to map this for your plant, book a free 30-minute diagnostic call at /contact.

Related: Is Your Plant at Level 1 or Level 5? — the maturity assessment this article builds on.

Related: Why Having 7 Priorities Means Having None — how to set the single financial True North that starts the chain.

Related: Why Your Operators Should Never See a Percentage — the KRI/KPI/PI cascade that makes the chain work.

Related: The €1M Mistake Most Factories Make Every January — how the Annual Improvement Plan turns the critical processes into funded projects.