Pet Food Benchmarks

Pet Food Plant KPIs: Benchmarks for Kibble Lines and How to Improve Them

Extruder OEE, moisture control, kibble durability, yield, giveaway, run rate, changeover and palatability testing on a kibble line: how to measure each, what moves it, and which figures have a cited source.

Use these benchmarks as reference points for spotting a gap worth investigating on a kibble line, not as targets to copy. Your own trend, measured the same way week after week, says more about your extruder, dryer and bagger than any single published figure.

Every figure shows its basis. A superscript number links to a public source in the Sources list, and the sentence states that source's context, such as its year, population or test method. A figure marked no cited source is kept exactly as originally published because no public source stating it has been verified, so treat it as illustrative.

At a glance

Pet food and kibble line KPI benchmarks at a glance
KPITypicalStrongBasis
Extrusion line OEE, dry pet food plants55 to 68%Not statedno cited source
Extrusion line OEE, well run linesNot stated72 to 80%no cited source
OEE, most manufacturing companies (cross-industry)Closer to 60%Not statedVorne1
OEE, Swedish manufacturing companies (cross-industry average)51.5%Not statedChalmers2
OEE, world-classNot stated85% (cross-industry)Raju et al.3; Vorne1
Unplanned stops, share of scheduled timeNot statedBelow 6% (goal)no cited source
Finished moisture variabilityCV of 2.5 to 4%SD under 0.5%, CV below 1.5% (target)no cited source
Moisture content, dry pet food10 to 12%Not statedPet Food Institute4
Moisture after drying, dry extruded dog and cat diets6 to 9% (60 to 90 g/kg)Not statedWageningen thesis5
Kibble durability, world-class dog kibbleNot statedAt or above 97%no cited source
Kibble durability, commercial canine diets87.3% mean (78.7 to 99.8% range)90% or more (feed-industry target)Wageningen thesis5
Fines5 to 7%Under 2% (world-class)no cited source
Good-product yield, share of raw material inputLoses 4 to 7%96 to 98% (mature lines)no cited source
Rework rateNot statedCap near 6%no cited source
Bag fill above labeled minimum (giveaway)1.2 to 2%0.4 to 0.6% (world-class)no cited source
Extruder run rate, share of nameplate75 to 85%88 to 95% (benchmark)no cited source
Dry flush formula changeoverNot stated25 to 45 min (benchmark)no cited source
Full wet allergen clean6 hours (laggard plants)2.5 to 4 hours (benchmark)no cited source
Two-bowl palatability panel20 animals (most research groups); 30 trained pets (typical sample)Not statedAldrich and Koppel6; Calderon et al.7
Palatability test turnaround per formula iteration5 to 8 weeksUnder 3 weeks (world-class)no cited source
Words in parentheses give each figure's own framing. The cited OEE figures are cross-industry, not pet food studies, and none of them states the pet food ranges. The commercial canine diet durability figures are unpublished data cited by the thesis, which does not name the test method behind them5.

Method: How the figures in this guide are sourced

A figure with a superscript number is stated by the cited source, listed under Sources with its publisher, location in the document and access date. A figure marked no cited source is kept exactly as originally published because no public source stating it has been verified. It is illustrative, not measured industry data. Worked examples show arithmetic only and are not benchmarks.

Extrusion line OEE

Overall equipment effectiveness (OEE) on the extrusion line is the headline number. Typical dry pet food plants run 55 to 68 percent OEE no cited source.

No public pet food OEE survey was found, but cross-industry figures give context. OEE vendor Vorne observes that most manufacturing companies have OEE scores closer to 60 percent1, and a Chalmers University thesis found machine OEE in Swedish manufacturing companies averaged 51.5 percent2.

Well run lines hold 72 to 80 percent no cited source. World-class sustained operation reaches 85 percent, the cross-industry world-class figure from Seiichi Nakajima's work on total productive maintenance3, 1.

Watch the three factors separately. For example, 70 percent availability, about 98 percent performance and 90 percent quality multiply to roughly 62 percent OEE, so a plant can post 62 percent from 90 percent quality and only 70 percent availability.

The usual availability killer is changeovers and dryer trips. The fastest OEE gains come from reducing unplanned stops below 6 percent of scheduled time no cited source.

How to measure

  • Multiply availability, performance, and quality against scheduled production time.
  • Chart the three factors separately as well as their product.
  • Log changeovers and dryer trips as their own stop codes.

What moves it

  • Fewer and shorter changeovers.
  • Fewer dryer trips.
  • Less unplanned stop time overall.

Check whether extruder output covers demand with the Extrusion Throughput calculator.

Moisture control

Moisture control is the KPI that pays for itself, because water is free weight you are legally allowed to sell. Target finished moisture consistency with a standard deviation under 0.5 percent and a coefficient of variation below 1.5 percent around your setpoint no cited source.

Published figures for finished moisture differ, so choose your setpoint from your own shelf-life data. The Pet Food Institute, a U.S. trade association, says dry pet food typically has a 10 to 12 percent moisture content4. A 2008 Wageningen University thesis says dry extruded dog and cat diets must be dried to 60 to 90 g/kg, or 6 to 9 percent5.

Typical plants run a CV of 2.5 to 4 percent and dry defensively to 8 percent to avoid mold risk, giving away 1 to 2 points of yield no cited source.

For example, tightening moisture CV from 3 percent to 1.2 percent lets you hold 9.5 percent safely, and each recovered point of moisture is roughly 1 percent more saleable tonnes.

How to measure

  • Sample finished moisture at a fixed frequency after the dryer and cooler.
  • Report the standard deviation and coefficient of variation around the setpoint, not only the mean.
  • Chart it per shift and per product.

What moves it

  • Dryer and cooler control that narrows the spread.
  • Stable preconditioner steam and in-barrel moisture upstream.
  • Raising the setpoint only after the spread is under control.

Price the drying side of the moisture decision with the Kibble Drying Energy calculator.

Kibble durability and fines

Pellet or kibble durability is the quality proxy customers feel first. World-class dog kibble holds a durability index at or above 97 percent no cited source with fines under 2 percent no cited source.

Measured data show a wide spread. In unpublished data cited by the 2008 Wageningen thesis, commercial canine diets ranged from 78.7 to 99.8 percent durability, with a mean of 87.3 percent5. The same thesis notes that a kibble durability index of 90 percent or more is generally used as a target in the feed industry5.

Typical operations run 5 to 7 percent fines no cited source. Durability values depend on the test method, so name the tester whenever you compare figures.

The levers are die design, binder or starch level, and cooling profile. Gentler cooling and 1 to 2 points more in-barrel moisture at the die usually add 2 to 3 durability points no cited source, cutting dust complaints and rework in one move.

How to measure

  • Run the durability test every shift with the same tester and method.
  • Report fines separately from the durability index.
  • Trend durability against extruder specific mechanical energy (SME) and cooling rate.

What moves it

  • Die design.
  • Binder or starch level.
  • Cooling profile.
  • In-barrel moisture at the die.

Cost a binder or starch change with the Ingredient Blend Cost calculator.

First-pass yield

First-pass yield ties the physical KPIs to money. Benchmark good-product yield at 96 to 98 percent of raw material input for mature lines no cited source; typical plants lose 4 to 7 percent to fines, transitions, and off spec no cited source.

Break the loss into buckets and attack the biggest. Startup and shutdown transitions often account for 1.5 to 3 percent alone on lines that run many short SKUs no cited source, and consolidating from twelve daily changeovers to six can recover a full point of yield no cited source.

Track rework rate separately and cap it near 6 percent no cited source, since high rework masks a process that is not actually in control.

How to measure

  • Divide good product out by raw material in.
  • Assign every loss to a bucket: fines, transitions, or off spec.
  • Track rework separately from first-pass loss.

What moves it

  • Fewer startup and shutdown transitions.
  • Consolidated changeovers on short-SKU lines.
  • Lower fines through durability work.

See what process yield does to batch cost with the Ingredient Blend Cost calculator, and to margin with the Formula Margin calculator.

Weight giveaway

Weight giveaway is a standalone KPI worth a dedicated chart. World-class bagging holds average fill within 0.4 to 0.6 percent above the labeled minimum no cited source; typical lines give away 1.2 to 2 percent no cited source because the checkweigher feedback loop is loose or the filler drifts.

In the United States the label normally declares a net quantity, not a minimum. NIST Handbook 133 states that, in general, the average net quantity of packages in a lot must at least equal the quantity declared on the label8.

For example, cutting giveaway from 1.5 percent to 0.5 percent on a 5,000 tonne year returns about 50 tonnes of product to inventory. It costs nothing but tighter filler control and more frequent scale verification.

How to measure

  • Compare checkweigher averages with the declared net quantity for every bag size.
  • Chart the fill distribution, not only the average.
  • Verify scales on a fixed schedule.

What moves it

  • A tight checkweigher feedback loop to the filler.
  • Filler drift control.
  • More frequent scale verification.

Compare bagging run cost scenarios with the bagging line calculator.

Run rate against nameplate

Throughput rate against nameplate tells you whether the asset is earning. Benchmark sustained extruder run rate at 88 to 95 percent of nameplate for the running product no cited source; typical plants average 75 to 85 percent no cited source because of feed rate hunting and moisture instability.

Do not confuse rate with OEE. For example, a line can hit 92 percent rate while running and still post about 60 percent OEE if it only runs 65 percent of the schedule, since 0.92 x 0.65 = 0.598.

Improve rate by stabilizing preconditioner steam and in-barrel moisture. Then the operator stops backing off feed to chase a wandering motor load.

How to measure

  • Divide sustained run rate by nameplate for the product running.
  • Measure it only while the line runs, separately from OEE.

What moves it

  • Stable preconditioner steam.
  • Stable in-barrel moisture.
  • A steady feed rate instead of operator back-offs.

Model sustained output against demand with the Extrusion Throughput calculator.

Changeover and sanitation time

Changeover and sanitation time gate flexibility, especially with allergen segregation. Benchmark a dry flush formula changeover at 25 to 45 minutes no cited source and a full wet allergen clean at 2.5 to 4 hours no cited source.

Laggard plants take 6 hours on a wet clean no cited source because sequencing and kit staging are ad hoc. Reduce the count of full cleans by sequencing SKUs from least to most restrictive allergen, and pre-stage cleaning kits at each transfer point.

For example, moving from eight full cleans a week to three removes five cleans; at 3 to 5 hours each, that adds 15 to 25 production hours, often worth more than any single rate improvement.

How to measure

  • Time dry flushes and wet cleans separately.
  • Count full cleans per week.
  • Record the allergen sequence that forced each full clean.

What moves it

  • Sequencing SKUs from least to most restrictive allergen.
  • Pre-staged cleaning kits at each transfer point.

Include changeover setup in batch cost with the Ingredient Blend Cost calculator.

Palatability testing throughput

Palatability testing is the KPI most plants under-resource until a product fails at the bowl. Benchmark your panel capacity against launch cadence.

Two-bowl preference tests need a defined panel. Most research groups have moved to feeding 20 animals for 2 or 4 days, according to a 2015 review in Animals6, and a 2024 review in the Journal of Food Science says the sample typically consists of 30 trained pets7.

World-class R and D groups keep test turnaround under 3 weeks per formula iteration no cited source; typical groups run 5 to 8 weeks no cited source and become the bottleneck on new business.

How to measure

  • Track queue time per formula, not just pass rate.
  • Convert the formula pipeline into required panel days.

What moves it

  • Panel capacity matched to launch cadence.
  • Shorter queues between formula iterations.

Convert your pipeline of formulas into panel workload with the Palatability Test Workload calculator.

How to build your own baseline

  • Write one definition per KPI and keep it fixed, including the durability test method.
  • Chart OEE factors, moisture spread, durability and giveaway per shift.
  • Collect several months of data before you set a target.
  • Compare against your own trend first and published ranges second.
  • Record what changed in the process whenever a KPI moves.

Sources

  1. World-Class OEE: Set Targets To Drive Improvement. Vorne Industries (OEE.com). Sections 'What Is World-Class OEE?', 'TPM and World-Class OEE', 'Some Perspective on World-Class OEE'. Accessed September 30, 2026.
  2. Data-Driven Decision Support for Maintenance Prioritisation: Connecting Maintenance to Productivity (PhD thesis). Chalmers University of Technology, Department of Industrial and Materials Science (M. Gopalakrishnan). published 2018. PDF p. 29 (section on problems with the OEE measure); PDF p. 34 (Table 3 average OEE results); PDF p. 46 (summary of maintenance improvement potential). Accessed September 30, 2026.
  3. Anatomization of the overall equipment effectiveness (OEE) for various machines in a tool and die shop. Journal of Intelligent Manufacturing and Special Equipment, Vol. 3 No. 1, pp. 97-105 (Emerald, CC BY 4.0), DOI 10.1108/JIMSE-01-2022-0004. published 2022. p. 101 (PDF p. 5), Table 1 'The world-class OEE factor'; p. 103 (PDF p. 7) results discussion. Accessed September 30, 2026.
  4. A to Z of Pet Food: 4 Things to Know about Dry Pet Food. Pet Food Institute. Moisture content item. Accessed September 30, 2026.
  5. Extrusion processing: effects on dry canine diets (PhD thesis). Q.D. Tran, Wageningen University and Research Centre, ISBN 978-90-8504-903-6. published 2008. Ch. 4 discussion, p. 53 (commercial canine diet durability); Ch. 6 introduction, p. 75 (drying to 60 to 90 g/kg); Ch. 6 discussion, p. 83 (durability target). Accessed September 30, 2026.
  6. Pet Food Palatability Evaluation: A Review of Standard Assay Techniques and Interpretation of Results with a Primary Focus on Limitations. Animals (MDPI), Aldrich G.C. and Koppel K.. published 2015. Section on the two-bowl (two-pan) test. Accessed September 30, 2026.
  7. Measuring palatability of pet food products: Sensory components, evaluations, challenges, and opportunities. Journal of Food Science (IFT/Wiley), Calderon et al.. published 2024. Two-bowl test section. Accessed September 30, 2026.
  8. NIST Handbook 133 (2026 ed.), Checking the Net Contents of Packaged Goods, Chapter 1 General Information. National Institute of Standards and Technology (NIST), adopted by the 109th NCWM. published 2026. Chapter 1, Average Requirement; Individual Package Requirement (p. 11). Accessed September 30, 2026.

Published 2026-07-02.