Global Services

疲労リスク管理ワークショップ・東京
FRM/FRMS Workshop Tokyo

公益財団法人 航空輸送技術研究センターでは、航空輸送における運航・整備技術の調査・研究や安全思想の普及啓発を通じて、安全かつ効率的な航空輸送の発展を図るための活動を行っています。
今回は、より高度な疲労リスク管理の実現を目的に、航空関係者が一堂に会して疲労リスク管理について課題や認識を共有する、本邦初となるワークショップを下記のとおり開催いたします。
皆様のご参加をお待ちしております。
なお、
新型コロナウィルス感染症対策として、会場定員を減らしオンラインで同時配信をいたします。

Jeppesen Tools for FRM/FRMS

PROGRAM プログラム

日時

1 29

令和3年

月

金日

10：00〜17：45（開場9：30）
会場

Tomas Klemets, Head of Scheduling Safety

後援
定員

tomas.klemets@jeppesen.com

ATEC FRM/FRMS Workshop, Tokyo, 29th Jan 2021

開会の辞

10：05

来賓挨拶10：15

講

ソラシティ カンファレンスセンター
公益財団法人 航空輸送技術研究センター

会場参加

川上 光男 氏

10：35

講

演

小御門 和馬 氏「Fatigue Management 2021

−Learning from the past as we move into the future」

11：35

講

演

「Foundations of an Airline FRMS」
シンガポール航空

Capt. Nilesh Patil（IATA同上メンバー）

（休憩）

13：35

講

演

「組合におけるFRMの取り組み」

13：55

講

演

「ATECにおける疲労リスク管理の調査概要とControlled Restについて』

ALPA Japan Huper委員長

満下 善紀 氏

公益財団法人 航空輸送技術研究センター 技術部部長

14：30

約200名様
約100名様

計約300名様（参加費無料）講

演

一般社団法人 日本睡眠学会 事務局長

ATEC

検索

千葉 伸太郎 氏

Jeppesen・FRMSc・IBRの3社より

16：40●体調に不安のある方は、くれぐれも無理をなさらないようお願いします。当日はマスクの着用をお願いします。
また、会場入り口で非接触型体温計による検温を実施しますので、時間には余裕をもってお越しください。検温の結果等により、入場をお断りする場合がございます。
●オンライン参加の方は、当日の参加方法についてATECホームページでご案内します。

17：35

国内エアライン各社代表によるパネルディスカッション
全日本空輸・日本航空・日本貨物航空・ジェットスタージャパン・AIRDO・スカイマーク

閉会の辞

公益財団法人 航空輸送技術研究センター（ATEC） ホームページ
Tel.03-5476-5461 Fax.03-5476-8578

秦 正幸 氏「眠気をコントロールする睡眠のとりかた」
疲労評価ソフトウェア（Biomathematical Fatigue Models）の紹介

15：25

それぞれ、ホームページ http://www.atec.or.jp から事前にお申込み下さい。

〒108-0073 東京都港区三田1-3-39

同時通訳あり（演題は変更される場合があります）

国土交通省 航空局 安全部長

「疲労管理の科学的原則を考慮した我が国の新たな航空機乗組員の乗務割基準について」
国土交通省 航空局 安全部 運航安全課専門官国土交通省 航空局
オンライン参加

お問い合わせ先演

デルタ航空 Capt. Jim Mangie（IATA Fatigue Management Technical Group議長）

東京都千代田区神田駿河台4-6（JR御茶の水駅、東京メトロ新御茶ノ水駅そば）

主催

10：00

http://www.atec.or.jp

新型コロナウィルスの状況により開催方法の変更等が生じる可能性があります。最新の情報はホームページにてお知らせしますので必ずご確認をお願いします。

Association ofAir Transport Engineeringand ResearchJeppesen FRM

Crew
FSAG

Crew
ManagementProcess

Copyright © 2020 Boeing. All rights reserved.

2

BAM Leading implementation of science
0.60
0.35

1. Strong validation•••••Peer-reviewed and openly published modelequations in PLOS ONE
Published together with validation data!
Validation with, and without, prior sleep
Large, mixed, sample of aviation data
Measurement also of variance – not only
predicting the average with unknown precision!

Low score = 95% probabilityfor crew experiencing KSS
8 or KSS 9!

2. Built and supported for mission criticalapplications
3. The only model to support industry
strength crew optimization in real time –allowing for pro-active risk reduction
4. Plugs in to any system over a standard
interface (CAPI)
5. Highly configurable•••High score ≈ 0%probability for crew
experiencing KSS 8or KSS 9

In-flight sleep
Individual HSL/DT/commute times
Sleep opportunities

6. Available for free trial on several platforms

Correlation to FDM data

doi:10.7910/DVN/26541, 20 Oct 2014
SRI, Swedish CAA, SAS, Jeppesen

More info: here, here, here, and here.

Copyright © 2020 Boeing. All rights reserved.

3

Crew Use Cases, using CrewAlert
1. Predict fatigue risk in detail using BAM(load roster, personalize settings, log
sleep/wake)
2. Obtain fatigue risk-, and sleep debt-,
awareness
3. Obtain guidance on light exposure andphysiologically sound sleep timings
4. Investigate different fatigue mitigation
strategies
5. Report fatigue
6. Collect fatigue data (for the company)
using KSS, SP and built-in validated PVT
7. Perform what-if analysis
8. Import sleep from any wearable device
using Apple Health
9. Learn about sleep and performanceinteractionMore info: here, here, here, here, here, and here.

Copyright © 2020 Boeing. All rights reserved.

Push roster data from any system over asimple JSON URL, QR-code, or load from
Rosterbuster, Logten, iAIMS… - open API• CrewAlert (free, or €1.99 per month, iOS)
• CrewAlert TOD (free, iOS + Android)
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FSAG Use Cases, using CrewAlert
Modeling of the Mangalore accident in 2010

1. Analysis of a fatigue report
2. Modelling and analysis of an incident oraccident
3. Modelling and analysis of new route,standard pairing or any roster pattern
4. Modelling and analysis of problematicpatterns, developing mitigation strategies
5. Sharing any modeled scenario withcolleagues
6. Visualization and exploration of collected
fatigue data
7. Storage and analysis of collected fatigue data
8. Analysis of ‘what-if’ on an pairing or roster;modify assumptions, sleep/wake, chain ofactivities, etc…
9. Analysis of additional SPIs on any pairing orroster

KSS 1
KSS 3
KSS 5
KSS 7
KSS 9

More info: here, here, here, here, here and here.

Copyright © 2020 Boeing. All rights reserved.

5

Quick demo of CrewAlert

Copyright © 2020 Boeing. All rights reserved.

6

FSAG Use Cases, using Concert
1. Monitoring and quantification of overall
fatigue risk•••

Per fleet/rank/base/station, any time period
AFR / NFR
Any PMP (process measuring point)

2. Identification of trends and fatigue hotspots
for the entire operation, over several years
3. Producing statistics for monthly reporting
4. Investigation of fair distribution of fatigue riskover the crew population
5. Follow-up, per the above, of additional SPIs
(about 100 in total) such as productivity
6. Investigation into the fair rostering of anindividual or a sub-group compared to alarger set
7. Bring up any pairing or roster, from any PMP,
and investigate details
8. Monitor your entire crewing process andreceive automatic alerts• Cloud-based solution, no localinstallation• Access via web browser• Simple and secure integration withany crew solution

More info: here, here, here and here.

Copyright © 2020 Boeing. All rights reserved.

7

Quick demo of Concert

Copyright © 2020 Boeing. All rights reserved.

8

Crew Management Use Cases
1. Visualize fatigue risk in the native GUI
2. Use fatigue risk in decision support
3. Sort/filter/select trips, rosters and flights
according to predicted fatigue risk in native GUI
4. Plot detailed predictions on any pairing or roster
in the native GUI
5. Quantify overall risk metrics (on partial or fullsolution)
6. Use planning rules directly based on fatigue
predictions
7. Suppress fatigue risk during crew planning
optimization with incentives in objective function
8. Distribute fatigue risk between crew
9. Alert on fatigue risk in day of operation
10. “Find most suitable crew” in terms of risk
11. Identify suitable rule-relaxations and build
safety business case for a derogation
12. Identify loop-holes in current rules
More info: here, here, here, here and here.

Copyright © 2020 Boeing. All rights reserved.

Three options:a) Tight integration over CAPIb) Integration over ADSF (.csv) withbatch uploads to Concertc) Asynchronous request-response
REST API with the Concert server

9BAM in action reducing risk§“Normal” planning rules/focus
w/o any detailed guidance onhuman physiology
Vs. using BAM providing an incentive to the optimizer
objective function for avoiding poorly planned flights.

§Same data. Same rules. Almost
identical crew efficiency.
But much lower risk.

Copyright © 2020 Boeing. All rights reserved.

- 45% risk
+2 duty days10Data Collection
1. Initiate a “survey”••

The full operation, or just across-section
One-time, or continuous?

2. Assign each crew a unique
Account name, and provide
them survey code
3. ‘Extras’ aside of app/rosters:
actigraphy?
4. Jeppesen to processcollected data. ADSF only, or‘dressed up’ with roster SPIs
5. Weekly progress reports
during collection

CrewAlert
Survey Code
Account Name

Jeppesenrepository

ADSF.csv ‘Dressed up’ withroster metrics, predictedalertness, BL_24,BLW_24, WT…

Explore/monitor/trackcollected data in Concert,or perform statisticalanalysis in desired toolMore info: here and here.

Copyright © 2020 Boeing. All rights reserved.

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The full Jeppesen FRM portfolio

Consultancy

Jeppesen Crew Solutions

Impact assessments, finding
relaxations, …

Optimize using a model

CAPI
Integrate in your environment

3Concert
Extensive Fatigue Assessmentwith any solution

2

Fatigue Models

4

Training
Three-day training course forplanners, safety pilots and managers

Data collection surveys
Using CrewAlert but also
“full surveys” offered via Boeing

CrewAlert
Get started using afatigue modelService Bureau
Remote Planning using FRM1www.jeppesen.com/FRM

Copyright © 2020 Boeing. All rights reserved.

12

Questions?

For demo video, please email:tomas.klemets@jeppesen.com

ありがとうございました
www.jeppesen.com/FRM
Copyright © 2020 Boeing. All rights reserved.

13

www.jeppesen.com/FRM

Copyright © 2020 Boeing. All rights reserved.

Why should an airline select Jeppesen for FRM?
§ Broad FRM portfolio with products and services for:§ Crew§ FSAG§ The crew management processes§ Leading, full-disclosure, peer-reviewed and published model
validation. Concept, tools and data for improving the model overtime.
§ Can help an operator with scalable inexpensive data collection§ The only proven solution able to pro-actively make a difference
to pairings and rosters on a large scale. In planning optimizers
since 2011
§ Long track record of providing mission-critical software solutions
to large operators world-wide. Size, muscle, and experience tosupport you making a real difference to fatigue risk
§ Excellent support+16% max duty time

Copyright © 2019 Boeing. All rights reserved.

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