Log in

2022 Online event

Because of the ongoing uncertainty in relation to the travel restrictions imposed upon us due to Covid-19 pandemic, the Agifors Council has decided to also in 2022 have all the study group meetings as a virtual event. 


This year the Crew Management Study group meeting will start on the 14th of June 2021. Just like in 2021, we will again have the conference in 6  sessions, this time spread out over three weeks.
The sessions will be:

  • Tuesday June 14 2022
  • Wednesday June 15 2022
  • Tuesday June 21 2022
  • Wednesday June 22 2022
  • Tuesday June 28 2022
  • Wednesday June 29 2022

All sessions will start at 14:00 UTC and run through to 17:00 UTC. These times would hopefully make it possible to attend the session within a reasonable time for many locations around the globe.

Registration

As this conference is again an online event, the registration fees could be kept very low.

Registration fees are:

  • Agifors members working for an airline: USD 20.
  • Agifors members not working for an airline: USD 50.
  • Non-Agifors members: USD 75.
Membership to the Agifors is for free and gives more benefits than just a reduced registration fee. Register here for the free membership. 


Registration Page

Agenda (all times UTC)

14Jun22

 14:00

Conference opening and welcome

Marcel Sol - Chairman of AGIFORS crew study group

 14:30

Keynote

 15:30

Technical presentation

Marina L├╝tzenberger

 16:00

Sponsor presentation

Xenia (facebook, LinkedIn)

 16:30

Modeling Compound Fatigue Risk in Medium Haul Pilots

Jaime Devine, PhD (LinkedIn); Steven Hursh, PhD; Julia Behrend, PhD






15Jun22

 14:00 

Recap day 1

 14:15

Sponsor presentation

NavBlue

 14:45

Bringing Integrated Crew Planning in production at a Mid-Sized European airline 

Wim Vanroose

 15:15

Sponsor presentation

IBS Software

 15:45

Organizational business risk management based on Human factors

Dejan Devic, Velimir Isakovic

 16:15

Technical presentation

Rosterize

21Jun22

 14:00

Recap day 2

 14:15 

Crew recovery using machine learning & optimization

Vikrant S. Vaze

 14:45

Sponsor presentation 

CAE

 15:15

Sponsor presentation

OpsLab

 15:45

Sponsor presentation

Pulsair

 16:15

Estimation of Crew Standbys in Airlines via Machine Learning and Data Analytics

Murat Tilki







22Jun22

 14:00 

Recap day 3

 14:15

Sponsor presentation

Boeing

 14:45

Decision support systems for manpower prediction using machine learning algorithms

Kaan Toprak , Mustafa Demirci