A reference on industrial line performance

Production-line performance,
decoded.

Articles, a thirty-term glossary and four live calculators on OEE, downtime and the real levers of throughput — written for people who run the line, not the slide deck.

Start with the fundamentals → Open the calculators →
Chapters07 sections
Verticals03 line types
Glossary30 terms
Calculators05 interactive
Chapter I · Fundamentals

The fundamentals, no jargon.

Four articles, each one answering one question — formula, worked example, common pitfalls.

Article 016 min readBeginner → Intermediate

What is OEE?

The standard metric for measuring the real performance of a production line — and the one most often misread.

OEE (Overall Equipment Effectiveness) answers one question: out of the time the line was supposed to be producing, what share was actually productive, at full speed, and defect-free? It is the product of three pillars — each one capturing a different type of loss.

The math is deceptively simple. The interpretation is where most teams get it wrong, because a single number hides three very different stories.

§ 1.1 — The formula01

The equation
OEE = Availability × Performance × Quality
Availability01
Run time

Actual run time ÷ planned time. Captures downtime.

Performance02
Real speed

Actual rate ÷ ideal rate. Captures slowdowns.

Quality03
Good parts

Good units ÷ total units. Captures scrap.

Anatomy of an OEE — worked example71 % final · planned time = 100 %
OEE 70.9 %
Performance loss 19.7 %
Effective OEE70.9 %
Time that produced good units at full speed.
Availability loss8.7 %
42 min of downtime out of 480 planned.
Performance loss19.7 %
Slowdowns & micro-stops vs. ideal rate.
Quality loss0.7 %
180 rejects out of 20,600 units.
OEE is not a score. It is a diagnostic — the value matters less than which of the three pillars is dragging it down.
— Editorial note

§ 1.2 — Worked example02

Take a bottling line scheduled to run for 8 hours (480 min) at 60 bottles/minute:

// Shift data
Planned time ............ 480 min
Downtime ................ 42 min → run time = 438 min
Ideal rate .............. 60 u/min
Units produced .......... 20,600
Units rejected .......... 180

// Calculation
Availability = 438 / 480 ............... = 91.3 %
Performance = 20,600 / (438 × 60) ..... = 78.4 %
Quality = (20,600 − 180) / 20,600 . = 99.1 %
OEE = 0.913 × 0.784 × 0.991 = 70.9 %

§ 1.3 — Reading the result03

An OEE of 71% means that out of 100% of planned time, only 71% of perfect units were produced. The world-class benchmark is generally cited at 85%. The real industry average sits between 50 and 65%.

The weakest pillar here is performance (78.4%) — that's almost certainly where unreported micro-stops, slow changeovers, or a downstream bottleneck are hiding.

§ 1.4 — Industry benchmarks04

How does 71 % compare? Below, indicative ranges by sector — drawn from public industry studies and Factory Knowledge's own anonymized samples.

SectorMedianTop quartileWorld-class
Glass bottling multi-line58 %72 %85 %
Aluminum cans can-makers64 %78 %88 %
PET bottling blow + fill61 %74 %85 %
Food & beverage filling55 %70 %82 %
Pharmaceutical aseptic48 %65 %78 %
Indicative ranges · for orientation, not certificationSource: industry studies + FK samples

§ 1.5 — Common pitfalls05

• Confusing OEE with availability. Many Excel trackers only log long stoppages and call the result "OEE" — it isn't.
• Ignoring micro-stops. Blockages under 2 minutes are almost never logged manually, but often account for 10–20 percentage points of lost performance.
• Wrong ideal rate. If the reference rate is set too low, OEE looks artificially high.

Further reading
  1. The OEE Industry Standard — Nakajima, S. (Productivity Press). The original framework, still the reference.
  2. The Goal — Goldratt, E. M. The bottleneck logic that underpins the performance pillar.
  3. SMED Mechanism — Shingo, S. Why changeover time is the most actionable lever on availability.
Next — Article 02 Downtime & bottlenecks →
Chapter II · By the line

The three lines we obsess over.

Canning, PET and glass. Same OEE math, very different failure modes — synoptic, typical bottleneck, where to measure first.

Line 01CAN · aluminum

Canning line

High-cadence rigid metal. The seamer and the pasteurizer fight for the bottleneck title — and neither one is ever where the operator points first.

depal → rinse → fill/seam → past. → dry → code → pack → palletize
Typical cadence90 – 120 k cph
Usual bottleneckPasteurizer
Line 02PET · plastic

PET bottling line

Combi block up front, labeler in the back. The labeler is the n°1 source of micro-stops on every PET line we've ever seen — and they almost never show up on the daily report.

blow → combi fill → cap → label → code → shrink → palletize
Typical cadence24 – 60 k bph
Usual bottleneckLabeler
Line 03Glass · returnable

Glass bottling line

Breakage, empty-bottle inspection, full-bottle inspection. Pressureless accumulation. Speeds are lower, but every stop cascades faster — and every cascade scrapes glass on glass.

depal → wash → EBI → fill/cap → FBI → label → case → palletize
Typical cadence15 – 50 k bph
Usual bottleneckFiller / EBI
Chapter III · KPIs by role

The same number means different things.

An OEE of 71 % triggers four very different decisions depending on whose desk it lands on. Here's who looks at what, and what they actually do with it.

Role 01

Operator

Reacts in real time. Needs numbers visible from the line, refreshed every hour, never used as a sanction.
Watches
  • Hourly count
  • Shift target
  • Top 3 stops today
Role 02

Line supervisor

Arbitrates and prioritizes. Compares the shift to the standard, decides where the morning meeting focuses.
Watches
  • Daily OEE
  • Weekly Pareto
  • MTTR per machine
Role 03

Plant manager

Allocates resources. Compares lines and crews (with care), trends month over month, validates improvement projects.
Watches
  • OEE / TEEP trends
  • Downtime cost
  • Crew comparison
Role 04

Exec / Finance

Decides on CAPEX. Translates production performance into dollars and hidden capacity — buy a new line, or unlock the one we have?
Watches
  • TEEP
  • Cost of 1 % OEE
  • Hidden capacity
Chapter IV · Glossary

The vocabulary of industrial performance.

Thirty terms you'll run into in a production meeting, an audit or a tender — defined in one sentence, grouped by family.

01Core KPIs— the acronyms on every dashboard06 terms
OEE
Overall Equipment Effectiveness. The product of availability × performance × quality.
TEEP
Total Effective Equipment Performance. OEE multiplied by utilization — performance against all 168 hours in a week.
NEE
Net Equipment Effectiveness. OEE minus planned losses (changeovers, breaks). A stricter view of true effectiveness.
FPY
First Pass Yield. Share of units produced correctly the first time, without rework. A sensitive measure of quality.
RTY
Rolled Throughput Yield. Probability a unit passes every step defect-free. Compounds FPY across stations.
OLE
Overall Labor Effectiveness. OEE's equivalent for the human side — availability, performance, quality of operators.
02Reliability— how often things break, how fast they recover02 terms
MTBF
Mean Time Between Failures. Average time between two breakdowns of an asset. Higher is better.
MTTR
Mean Time To Repair. Average time to restore service after a failure. Lower is better.
03Time & rate— how production is paced and measured06 terms
Takt time
Production pace that syncs output to customer demand. Used as the reference for the ideal rate.
Cycle time
Time taken to produce one unit, start to finish of the cycle. The inverse of the production rate.
Lead time
Total elapsed time from order to delivery. Includes processing, waiting, transport, inspection.
Changeover
Time required to switch a line from one product to another. A major driver of availability loss.
Run rate
Units produced per unit of time during actual running. Compared to ideal rate to compute performance.
Nameplate
The maximum rate stated by the equipment manufacturer. Often used (sometimes optimistically) as the ideal rate.
04Loss categories— everything that erodes the three pillars08 terms
Micro-stop
A short blockage (typically < 2 min) that usually isn't logged manually. A major source of performance loss.
Planned downtime
Stoppages scheduled in advance: breaks, maintenance, changeovers. Subtracted from total time.
Unplanned downtime
Stoppages that weren't scheduled: breakdowns, material shortages, quality issues. Main availability loss.
Breakdown
An unplanned stop caused by equipment failure. Tracked via MTBF and MTTR to spot reliability issues.
Speed loss
Gap between ideal rate and actual run rate. Often caused by wear, suboptimal settings or hidden micro-stops.
Startup rejects
Defective units produced just after a restart or changeover, before the line stabilizes. Quality loss.
Scrap rate
Share of produced units rejected as unusable. Direct material and labor loss — key driver of the quality pillar.
Rework
Defective units recovered through additional processing. Less visible than scrap but still a quality loss.
05Improvement methods— the toolkits used to move OEE upward05 terms
SMED
Single Minute Exchange of Die. Techniques to reduce changeover to single-digit minutes. Improves availability.
TPM
Total Productive Maintenance. Involves operators in routine maintenance to prevent breakdowns and improve OEE.
Kaizen
Japanese for "continuous improvement". A culture of small, ongoing changes driven by the people doing the work.
Andon
A visual signal that flags a problem on the line in real time so it can be addressed immediately.
Poka-yoke
"Mistake-proofing". Design techniques that make errors physically impossible or immediately visible.
06Flow & inventory— how material moves through the line03 terms
Bottleneck
The slowest station on the line. Dictates the maximum throughput, regardless of how fast the others run.
WIP
Work In Progress. Inventory that has entered the line but isn't finished yet. High WIP often masks bottlenecks.
Buffer
A small inventory between two stations to absorb short variations. Protects the bottleneck from upstream micro-stops.
Chapter V · Calculators

Put the formulas to work.

Each calculator mirrors a formula from the guides. Plug in your own numbers, or play with the defaults to see how each variable moves the result.

Chapter VI · Templates

Start on paper.

Before automating anything, you should know what you'd be automating. Four ready-to-print shop-floor forms — used as-is in glass, PET and canning plants.

A4 · PDF
Template 01 · Shift log

Hourly production log

One row per hour, one column per machine. Counts, target, deviation, signature. The single form you cannot skip.

Open & print →
A4 · PDF
Template 02 · Observation

Starved / blocked sheet

Twelve-minute observation grid. Tick "starved" or "blocked" every 30 s — the bottleneck shows itself in fifteen minutes.

Open & print →
A4 landscape · PDF
Template 03 · Downtime

Stoppage register

One line per stop: start, end, machine, cause, action. Feeds your monthly Pareto and your MTTR/MTBF directly.

Open & print →
A4 · PDF
Template 04 · V-curve

Machine speed survey

Plot nameplate vs. actual speed for every machine on the line. Shows immediately if your V-curve is respected.

Open & print →
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Chapter VII · Go further

Want this measured automatically?

Every calculation on this page depends on what you type in. kf-x devices from Factory Knowledge plug into a line in minutes and log downtime, micro-stops, rate and quality continuously — no operator entry required.

Discover Factory Knowledge →
From manual to automatic→ continuous
01
Plug-and-play installM12 connectors with PoE. Live data in roughly two minutes per line, no integrator required.
02
Continuous loggingDowntime, micro-stops, rate and quality — captured 24/7 without operator entry.
03
Live OEEThe three pillars, decomposed, on a dashboard built for operations — not for IT.
04
Built for packagingGlass, cans, PET, food & beverage. Designed for high-cadence rigid-packaging lines.