scholarly journals Using Deficit Functions for Crew Planning in Aviation

2017 ◽  
Vol 18 (4) ◽  
pp. 289-296 ◽  
Author(s):  
Ilya B. Gertsbakh ◽  
Helman I. Stern
Keyword(s):  
Crew Planning

Abstract We use deficit functions (DFs) to decompose an aviation schedule of aircraft flights into a minimal number of periodic and balanced chains (flight sequences). Each chain visits periodically a set S of airports and is served by several cockpit crews circulating along the airports of this set. We introduce the notion of ”chunks” which are a sequence of flights serviced by a crew in one day according to contract regulations. These chunks are then used to provide crew schedules and rosters. The method provides a simplicity for the construction of aircraft schedules and crew pairings which is absent in other approaches to the problem.

PROPOSALS REGARDING DIRECTIONS OF CHANGES IN THE CONTENT OF NORMATIVE DOCUMENTS REGULATING THE TRANSPORT OF THE MOST IMPORTANT PEOPLE IN THE STATE BY MILITARY AIRCRAFT

2020 ◽  
Vol 117 (4) ◽  
pp. 27-37
Author(s):  
Ryszard BARTNIK ◽  
Dariusz TATAROWSKI
Keyword(s):  
Technical Condition ◽  
The State ◽  
Security Threats ◽  
Atmospheric Conditions ◽  
Military Aircraft ◽  
Normative Documents ◽  
Important People ◽  
Crew Planning ◽  
Important State ◽  
Preparation Equipment

Ensuring the security of people who hold the most important state positions is one of the most significant tasks for all institutions and people involved in securing the official activities of such people, including their mobility and movement by air. This requires undertaking actions aimed at eliminating security threats and thus minimising risk. Proposals regarding directions of changes in the content of normative documents concerning the transport of the most important people in the state by military aircraft concern: flight experience of crews; selection and assembly of the crew; planning the flight and preparing the crew for the flight; preparation, equipment and technical condition of the aircraft and atmospheric conditions and analysis of them.

Crew Planning at Flying Tiger: A Successful Application of Integer Programming

1979 ◽  
Vol 25 (12) ◽  
pp. 1175-1183 ◽  
Author(s):  
Roy E. Marsten ◽  
Michael R. Muller ◽  
Christine L. Killion
Keyword(s):  
Integer Programming ◽  
Crew Planning

Crew Planning for Commuter Rail Operations, a Case Study on Mumbai, India

2020 ◽  
pp. 813-819
Author(s):  
Naman Kasliwal ◽  
Sudarshan Pulapadi ◽  
Madhu N. Belur ◽  
Narayan Rangaraj ◽  
Suhani Mishra ◽  
...  
Keyword(s):  
Commuter Rail ◽  
Crew Planning

Partial evaluation in aircraft crew planning

1997 ◽  
Vol 32 (12) ◽  
pp. 127-136 ◽  
Author(s):  
Lennart Augustsson
Keyword(s):  
Partial Evaluation ◽  
Crew Planning

Operational airline reserve crew planning

2006 ◽  
Vol 9 (3) ◽  
pp. 203-221 ◽  
Author(s):  
Milind G. Sohoni ◽  
Ellis L. Johnson ◽  
T. Glenn Bailey
Keyword(s):  
Crew Planning

scholarly journals Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation

Mathematics ◽  
2021 ◽  
Vol 9 (17) ◽  
pp. 2138
Author(s):  
Vojtech Graf ◽  
Dusan Teichmann ◽  
Michal Dorda ◽  
Lenka Kontrikova
Keyword(s):  
Planning Process ◽  
Flight Crew ◽  
Control Center ◽  
Software Products ◽  
Operational Solution ◽  
Crew Planning ◽  
Financial Impacts ◽  
Air Carriers ◽  
Standard Situation ◽  
Financial Losses

The creation of a flight schedule and the associated crew planning are clearly among the most complicated tasks in terms of traffic preparation. Even with a relatively small number of pilots and aircraft, numerous specific constraints arising from real operations must be included in the calculation, thus increasing the complexity of the planning process. However, even in a precision-planned operation, non-standard situations often occur, which must be addressed flexibly. It is at this point that an operational solution must be applied, the aims of which are to stabilize the flight schedule as soon as possible and minimize the financial impacts resulting from the non-standard situation. These problems are resolved by the airline’s Operational Control Center, which also uses various software approaches to solve the problem. The problem is approached differently by large air carriers, which use software products to address it, and small and medium-sized air carriers, which resolve the issue of operational rescheduling intuitively, based on the experience of dispatchers. However, this intuitive approach can lead to inaccuracies that can lead to unnecessary financial losses. In this paper, we present an optimization model that can serve as a tool to support the decision-making of employees of the operations centers of smaller and medium-sized air carriers.

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