OEE Availability — Formula, Calculation & How to Improve It

How to calculate OEE Availability, what causes availability losses, and the practical steps to reduce downtime and changeover time in food and FMCG manufacturing.

Updated May 2026 Based on industry standards for food and FMCG manufacturing

What is Availability in OEE?

Availability in OEE measures how much of your planned production time the line was actually running. The formula is Availability = Actual Run Time ÷ Planned Run Time. Planned run time is the time the line was scheduled to produce. Actual run time is planned run time minus all stops — including breakdowns, changeovers, material shortages and any other unplanned stops. Both planned and unplanned stoppages within scheduled production time count as Availability losses. The world-class target is 90% or higher. Availability is typically the weakest of the three OEE components on multi-SKU food lines due to frequent changeovers.

≥ 90%
World-class Availability target
75–90%
Typical manufacturing range
Changeover
Biggest single loss source
SMED
Primary improvement method
⏱️

Availability Formula & Calculation

Availability (A) = Actual Run Time ÷ Planned Run Time
Planned Run Time = Scheduled production time (excludes unscheduled time)
Actual Run Time = Planned Run Time minus all stops during scheduled time
Example: 6.5 hrs actual ÷ 8 hrs planned = 81.3% Availability
Worked example — food manufacturing line, 8-hour shift
Planned run time8 hrs (480 min)
Unplanned breakdown35 min
Changeover (product change)45 min
Material shortage (line starvation)10 min
Total downtime90 min
Actual run time390 min (6.5 hrs)
Availability score81.3%
Impact on OEE
At 81.3% Availability, this line is losing 90 minutes every 8-hour shift — equivalent to losing 11.25% of all planned production time before Performance or Quality losses are even considered. On a line running at £500/hour output value, that's £750 of lost output per shift, over £190,000 per year on a single shift pattern.
Calculate your OEE
Put your Availability figure into the full OEE calculation

Understanding OEE Availability — causes, measurement and improvement

Availability is often the weakest OEE component on food and FMCG lines because changeovers are frequent and long. But it's also the component where focused improvement delivers the fastest measurable gains — because every minute of downtime you eliminate goes directly to usable production time.

A common source of confusion in OEE is which stoppages count as Availability losses. The rule is straightforward: any stop that occurs during planned production time counts, whether it was planned or not.

Unplanned downtime

Breakdowns, equipment failures, material shortages, operator-related stops, foreign body investigations. These are unexpected and therefore reduce Availability relative to plan.

Planned downtime (in production time)

Changeovers, CIP, scheduled maintenance, product trials — planned in advance but occurring within scheduled production time. Still count as Availability losses against OEE.

Not counted in OEE

Planned maintenance shifts, bank holidays, scheduled non-production time. These fall outside planned run time and are excluded from OEE entirely — they're a TEEP consideration.

The changeover trap
Many sites exclude changeover time from OEE on the grounds that it is "planned". This is incorrect. Changeover time counts as an Availability loss because it consumes planned production time. Excluding it gives a misleadingly high Availability figure and hides the biggest improvement opportunity on most food lines.

On a multi-SKU food line running 8–12 changeovers per week, changeover time can account for 40–60% of all Availability losses. Unlike breakdowns, changeovers are predictable, measurable and directly improvable through SMED (Single Minute Exchange of Die) methodology.

Changeover impact — 10 changeovers per week at 45 minutes each
Weekly changeover time450 minutes (7.5 hrs)
Planned production time per week (5 × 8 hrs)2,400 minutes
Changeover as % of planned time18.75%
Availability impact from changeover alone−18.75%
Reduce to 30 min per changeover (SMED)Recover 150 min/week
Availability improvement+6.25 percentage points

A 15-minute reduction per changeover across 10 weekly changeovers recovers 2.5 hours of production time per week — equivalent to adding a full production shift every 3 weeks without any capital investment.

1. Downtime Pareto

Record every stop with a reason code. Run a weekly Pareto. The top 3 reasons typically account for 60–80% of all downtime. Attack those specifically — not downtime in general.

2. SMED on changeovers

Separate internal tasks (line must be stopped) from external tasks (can be done while running). Converting internal to external reduces changeover duration by 30–50% without capital spend.

3. Planned maintenance

Replace reactive breakdown response with scheduled preventive maintenance. Track MTBF (Mean Time Between Failures) per asset to prioritise where PM effort goes first.

The 5% rule
A 5 percentage point improvement in Availability (e.g. 81% to 86%) on a line with a £500/hour output value recovers 24 minutes per shift. At 250 days and two shifts, that's 200 hours of additional production per year — worth £100,000 in output capacity, with zero capital investment.
How is Availability calculated in OEE?
Availability = Actual Run Time ÷ Planned Run Time. Planned run time is scheduled production time. Actual run time is planned run time minus all stops during that scheduled time.
What is a good Availability score in OEE?
The world-class target is 90% or higher. Most manufacturing sites achieve 75–90%. On high-changeover food lines, 80–85% is often a realistic operational target.
Does changeover time count as an Availability loss?
Yes. Changeover time occurs during scheduled production time and therefore counts as an Availability loss in OEE. Excluding it produces a misleadingly high score and hides the biggest improvement opportunity on most food lines.
What causes low Availability in food manufacturing?
The most common causes are changeover time, unplanned breakdowns, CIP and sanitation cycles during production time, and material shortages. Changeover is typically the single largest source on multi-SKU lines.
What is MTBF and MTTR in the context of OEE Availability?
MTBF (Mean Time Between Failures) measures how often equipment breaks down — higher is better. MTTR (Mean Time To Repair) measures how long repairs take — lower is better. Both are used to target maintenance effort: assets with low MTBF and high MTTR have the biggest impact on Availability.