---
title: Everything you need to know about idle factor optimization| OpenAirlines
description: Learn what the idle factor is, why it drifts, and how idle factor optimization saves fuel on every descent of your Airbus fleet.
image: https://blog.openairlines.com/hubfs/IDLE%20factor.jpg
---

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# Idle factor optimization: the fuel savings hiding in your descents

 Published by [Guillaume](https://blog.openairlines.com/author/guillaume) on  Oct 9, 2026, 9:53:34 AM

If your idle factor field has been sitting at zero for years, you're not alone. Most Airbus operators never touch it. But that quiet field is exactly where measurable fuel savings hide. Here's what it is, why it drifts, and how much it's really worth.

Short on time? See how much fuel idle factor optimization could save across your Airbus fleet in under 5 minutes.  Explore your potential savings in our free simulator.

[![\<strong\>Simulate your savings\</strong\>](https://no-cache.hubspot.com/cta/default/4233951/interactive-223895171676.png)](https://blog.openairlines.com/hs/cta/wi/redirect?encryptedPayload=AVxigLI3wmUQ8K1sKDJ2j7oukqj3qcLUP37j%2FxarGt2ugzEOCX9OXXI7WIEgdCXuRvpxipacsbRKgb5gUd%2BIOmH6x2hMemrWSt2bh%2BfXr9Qwz823OsU3HF%2BooMCfl8EcXyVYhpwyXB1GX%2FUlQUkBHrBG85v51LZjU1ERfgh%2F1N2Xuby8zfWKJ8HukLKZjGHG%2FDQvJkOcgXE5RwORjnsI9ZMVtHwF4etTpgVEgtDuDmyx1lQZ2vSAQdVl&webInteractiveContentId=223895171676&portalId=4233951)

| 📊Summary Idle factor optimization tunes a single FMS parameter so that the planned descent profile matches the behavior of the actual aircraft rather than a generic model. On Airbus widebody fleets, it can save an average of 15 kg (33 lbs) of fuel per flight, with no impact on pilot workload or flight time. Leveraging the right tools, these savings are easy for airlines to capture. - [What is the idle factor?](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#what-is-the-idle-factor) - [What happens when the idle factor is wrong?](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#idle-factor-wrong) - [How much fuel does idle factor optimization save?](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#how-much-fuel) - [Why fleet or static idle factors aren't enough](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#why-fleet-static-not-enough) - [How do you keep idle factors optimized?](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#keep-idle-factors-optimized) - [What are the other impacts and implications of idle factor optimization for airlines?](https://blog.openairlines.com/idle-factor-optimization-fuel-savings-hiding-in-descent#other-impacts) - [Idle factor optimization savings simulator](https://www.openairlines.com/idle-factor-fuel-savings-simulator/) |
| --- |

## What is the idle factor?

The idle factor is a Flight Management System (FMS) parameter for Airbus aircraft. It adjusts the idle descent slope computed by the FMS, so the flight path matches the aircraft's actual performance rather than a generic model. The FMS then uses the expected idle descent slope to plan the Top Of Descent (TOD).

The thing is that every aircraft performs differently. Engine wear, airframe drag, and maintenance history all change real descent performance over time. Knowing where each one stands and adjusting for it in performance computations is important for flight operations. This is what makes the idle factor matter, just as the fuel factor does.

## What happens when the idle factor is wrong?

When the idle factor known by the FMS is correct, the descent profile is accurate. But when the idle factor is incorrect, the aircraft in idle naturally descends on the wrong profile. An idle factor that is too high in the FMS results in overburn on descent. An idle factor too low in the FMS means actions to stick to the descent profile. The mechanisms explaining these effects are detailed below.

| Idle factor state | What the FMS does | How the descent goes from the TOD planned by the FMS |
| --- | --- | --- |
| Too high | The FMS assumes the aircraft descends less steeply in idle than it actually does. As a consequence, it plans the Top Of Descent (TOD) too early. | The aircraft would naturally descend more steeply than the descent the FMS expected. Thrust is thus added during descent to hold the speed and vertical profile. There is overburn as the aircraft could have stayed longer at a higher altitude. |

![Chart explaining what happens when an aircraft's idle factor is too high](https://blog.openairlines.com/hs-fs/hubfs/Blog-illustration/Idle%20factor%20too%20high%20-%20TOD%20planned%20too%20early.png?width=700&height=350&name=Idle%20factor%20too%20high%20-%20TOD%20planned%20too%20early.png)

| Idle factor state | What the FMS does | How the descent goes from the TOD planned by the FMS |
| --- | --- | --- |
| Too low | The FMS assumes the aircraft descends more steeply in idle than it actually does. As a consequence, it plans the Top Of Descent too late. | Flying the descent at idle, the aircraft would naturally arrive too high or too fast. Hence, airbrakes or other actions are added to meet speed and altitude constraints. |

![Chart explaining what happens when an aircraft's idle factor is too low](https://blog.openairlines.com/hs-fs/hubfs/Blog-illustration/Idle%20factor%20too%20low-%20TOD%20planned%20too%20late.png?width=700&height=424&name=Idle%20factor%20too%20low-%20TOD%20planned%20too%20late.png)

 

## How much fuel does idle factor optimization save?

Aircraft idle factors are sitting at zero by default. Yet in most cases, the idle factor zero is overestimated compared to the aircraft's actual behavior during descent, and the optimal idle factor is negative. Correcting an idle factor that is too high yields fuel savings.

How big the savings are mostly depends on 3 factors: the aircraft type, the magnitude of the idle factor correction, and how consistently the actual TOD matched the one computed by the FMS.

Let's take the example of an A350 aircraft to set things. For this example, we consider a -1 pt idle factor correction, which is a sound order of magnitude of the idle factor correction.  The table below sizes how this scales on typical operations for an A350, considering 2 flights per day and 330 operating days per year.

| Operational metric | Value |
| --- | --- |
| Average fuel savings per flight | ~15 kg (~33 lbs) |
| Annual fuel savings per aircraft | ~9,900 kg (~22,000 lbs) |

Now, multiply that across a fleet, and the picture changes fast. At roughly 9,900 kg saved per aircraft per year, a 20-aircraft fleet represents around 200,000 kg (441,000 lbs) of fuel a year.

[![\<strong\>Simulate your savings\</strong\>](https://no-cache.hubspot.com/cta/default/4233951/interactive-223895171676.png)](https://blog.openairlines.com/hs/cta/wi/redirect?encryptedPayload=AVxigLI3wmUQ8K1sKDJ2j7oukqj3qcLUP37j%2FxarGt2ugzEOCX9OXXI7WIEgdCXuRvpxipacsbRKgb5gUd%2BIOmH6x2hMemrWSt2bh%2BfXr9Qwz823OsU3HF%2BooMCfl8EcXyVYhpwyXB1GX%2FUlQUkBHrBG85v51LZjU1ERfgh%2F1N2Xuby8zfWKJ8HukLKZjGHG%2FDQvJkOcgXE5RwORjnsI9ZMVtHwF4etTpgVEgtDuDmyx1lQZ2vSAQdVl&webInteractiveContentId=223895171676&portalId=4233951)

## Why are fleet or static idle factors not enough?

1. A single idle factor per fleet is not enough. Indeed, the descent behavior **varies from aircraft to aircraft.** Even within the same fleet, optimum idle factors will vary widely from one tail to another. A fleet-average value can't capture that. **Idle factor must be tail-centric** to bring airlines all its benefits.

![Chart illustrating a fleet idle factor distribution](https://blog.openairlines.com/hs-fs/hubfs/Blog-illustration/Idle%20factor%20fleet%20distribution%20illustration.png?width=500&height=129&name=Idle%20factor%20fleet%20distribution%20illustration.png)

*Illustrative only:* Idle factor (pt) — 1 point represents 1 aircraft — 13 aircraft

1. Even when tail centric, a static idle factor is not enough. Indeed, the descent behavior of each aircraft **varies over time**. Engine wear, airframe drag, and maintenance interventions have a direct impact on the optimum idle factor. 
   
   It can also be influenced by the operational conditions faced by the aircraft.   
   A given aircraft at a given time can compare differently to the FMS descent performance model depending on the conditions it flies in. That's why idle factors need regular reassessment. Real performance changes are one reason, but network reassignments and seasonal changes in flight conditions matter too.

![chart illustrating idle factor seasonal distribution](https://blog.openairlines.com/hs-fs/hubfs/Blog-illustration/Idle%20factor%20seasonal%20distribution.png?width=500&height=129&name=Idle%20factor%20seasonal%20distribution.png)

*Illustrative only: Idle factor (pt) — 1 point represents 1 month — 8 months*

| 💡**Good to know:** if you stop updating idle factors, the savings from this correction won't disappear instantly. They'll erode over time, as the factor drifts further from its optimum. |
| --- |

 

## How do you keep idle factors optimized?

Keeping idle factors accurate is similar to keeping fuel factors accurate, which most airlines already know well and have built into their processes. Still, it is insightful to take a closer look at its success criteria. These are the three keys to a successful idle factor optimization:

1. **Get optimum factors**

The first key for keeping idle factors optimized is, of course, knowing what the optimum idle factors are. As mentioned earlier, this optimization needs to be tail-centric and continuously refreshed. This can only be done using actual flight data, which is fed into advanced performance models that compute the actual descent behavior and compare it to the reference behavior.

1. **Build confidence and turn optimum factors into FMS updates**

The second key is building confidence. Before updating an FMS, teams need to trust the recommendation: what fuel gain to expect, and why the optimum has changed. With that confidence, teams can push optimum idle factors into service quickly, while they're still relevant.

1. **Monitor actual outcomes**

It is a good practice to monitor the actual operational outcomes of fuel efficiency initiatives. And this is also the case for idle factor optimization, where it makes sense to analyze the actual usage of optimum idle factors, the in-service updates frequency, actual fuel savings, and the remaining potential that can be achieved with this initiative.

**How you can easily do this:**

For most airlines, building all of this in-house can be challenging as it requires time and expertise in aircraft performance, data science, software development, and big data pipelines, among others. This is where tools like [SkyBreathe® Aircraft Performance Monitoring (APM)](https://www.openairlines.com/aircraft-performance-monitoring/)change the equation.

The idle factor integration in [SkyBreathe® APM](https://www.openairlines.com/aircraft-performance-monitoring/)addresses the three keys for successful idle factor optimization by design. With this tool, airlines can:

1. Get the optimal factors for their fleet, with tail-centric recommendations that are updated dynamically every day based on the latest data available.
2. Build the necessary confidence to push optimal factors in service. [SkyBreathe® APM](https://www.openairlines.com/aircraft-performance-monitoring/) helps airlines build trust as it provides the expected fuel impact of each specific update, and helps teams understand why optimum factors are changing.
3. Easily monitor the results. Fuel savings and remaining potential are computed and surfaced directly in [SkyBreathe® APM](https://www.openairlines.com/aircraft-performance-monitoring/) and [SkyBreathe® Analytics](https://www.openairlines.com/fuel-management-software/).

 

## What are the other impacts and implications of idle factor optimization for airlines?

As mentioned earlier, in practice, updating idle factors is very similar to updating fuel factors. The same workflows, routines, rules, and responsibilities already defined and used for APM can often also accommodate idle factor updates at the same time. And the best part is that this can often be done with minimal impact. Let's have a closer look at the implications for the concerned teams.

| Stakeholder | Impact |
| --- | --- |
| Flight Ops Engineers & Maintenance | Flight Ops Engineering and Maintenance teams can absorb idle factor updates into existing workflows running for APM. Flight Ops Engineering defines which updates must be made and when, and Maintenance applies the changes in the aircraft's FMS. |
| Pilots | Using the optimum idle factor adds no workload for pilots. ✅ **Bonus:** when the model matches reality, pilots tend to better trust flight planning altogether and managed descent modes (DES). |
| Scheduling and disruption management | Using optimum idle factors doesn't make flights longer or negatively impact on-time performance. That means it is transparent for flight scheduling and disruption management. |
| Regulatory clearance | Clearance processes with the authorities are usually smooth and quick as soon as they are backed by accurate and trustworthy data, provided by a recognized partner. |

 

## To sum up

A misaligned idle factor means overburn or corrective actions on every descent. Yet most idle factors still sit at zero, while the optimum is usually negative, representing significant potential for additional savings: typically 15 kg per flight on an A350 and around 200,000 kg per year for a 20-aircraft fleet.

Capturing this potential takes more than a one-off fleet-wide correction. Optimum idle factors differ from tail to tail and drift over time, so they need to be tail-centric and regularly updated.

But this is definitely a fuel saving initiative within airlines' reach. Tools like [SkyBreathe® APM](https://www.openairlines.com/aircraft-performance-monitoring/) provide all the keys to success, from getting optimal factors, to building confidence and monitoring outcomes. And on the airline side, the effort usually stays light: idle factor updates fit into existing fuel factor workflows, with no added pilot workload and no impact on on-time performance.

In short, idle factor optimization is a small correction, worth real fuel on every descent, as long as it stays accurate, tail by tail, month after month. It's well worth looking into for most airlines flying Airbus.

[![\<strong\>Simulate your savings\</strong\>](https://no-cache.hubspot.com/cta/default/4233951/interactive-223895171676.png)](https://blog.openairlines.com/hs/cta/wi/redirect?encryptedPayload=AVxigLI3wmUQ8K1sKDJ2j7oukqj3qcLUP37j%2FxarGt2ugzEOCX9OXXI7WIEgdCXuRvpxipacsbRKgb5gUd%2BIOmH6x2hMemrWSt2bh%2BfXr9Qwz823OsU3HF%2BooMCfl8EcXyVYhpwyXB1GX%2FUlQUkBHrBG85v51LZjU1ERfgh%2F1N2Xuby8zfWKJ8HukLKZjGHG%2FDQvJkOcgXE5RwORjnsI9ZMVtHwF4etTpgVEgtDuDmyx1lQZ2vSAQdVl&webInteractiveContentId=223895171676&portalId=4233951)

 

| About the author ![Guillaume Dumas](https://blog.openairlines.com/hs-fs/hubfs/webinar/Guillaume%20D.png?width=117&height=117&name=Guillaume%20D.png)**Meet Guillaume Dumas**, Product Manager at OpenAirlines. Guillaume leads the development of Aircraft Performance Monitoring (APM) capabilities within the SkyBreathe® platform. An ISAE-SUPAERO aerospace engineer, he combines strong aviation expertise with more than eight years of experience at OpenAirlines. |
| --- |

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}
```