An enhanced rostering model for airline crews

Dawid, Herbert; König, Johannes; Strauß, Christine

doi:10.1016/s0305-0548(00)00002-2

Cited by 51 publications

(17 citation statements)

References 17 publications

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“…The specific assignment of schedules to employees is based on seniority, with the more senior crewmembers most often assigned their preferred schedules. More details on the bidline and rostering problems can be found in Kohl and Karisch (2003), Cappanera and Gallo (2001), Caprara et al (1998), Christou et al (1999), Dawid et al (2001), Day and Ryan (1997), and Gamache et al (1998).…”

Section: Crew Schedulingmentioning

confidence: 99%

Applications of Operations Research in the Air Transport Industry

Barnhart

Belobaba

Odoni

2003

Transportation Science

233

121

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T his paper presents an overview of several important areas of operations research applications in the air transport industry. Specific areas covered are: the various stages of aircraft and crew schedule planning; revenue management, including overbooking and legbased and network-based seat inventory management; and the planning and operations of aviation infrastructure (airports and air traffic management). For each of these areas, the paper provides a historical perspective on OR contributions, as well as a brief summary of the state of the art. It also identifies some of the main challenges for future research.

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Section: Crew Schedulingmentioning

confidence: 99%

Applications of Operations Research in the Air Transport Industry

Barnhart

Belobaba

Odoni

2003

Transportation Science

233

121

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“…The airline then makes the specific assignment of schedule to employees based on individual priority rankings-rankings that are often related to seniority. More details on the bidline and rostering problems can be found in Kohl and Karisch (2002), Cappanera and Gallo (2001), Caprara et al (1998), Christou et al (1999), Dawid et al (2001), Day and Ryan (1997), and Gamache et al (1998).…”

Section: The Core Problemsmentioning

confidence: 99%

Airline Schedule Planning: Accomplishments and Opportunities

Barnhart

Cohn

2004

M&SOM

100

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P lagued by high labor costs, low profitability margins, airspace and airport congestion, high capital and operating costs, security and safety concerns, and complex and large-scale management and operations decisions, the airline industry has armed its planners with sophisticated optimization tools to improve decision making and increase airline profits. In this paper, we describe optimization approaches for airline schedule planning, demonstrating how optimization can facilitate the management of a diverse and finite set of expensive, highly constrained resources. We focus on the art and science of modeling and solving these problems, providing illustrative examples of the associated impacts and challenges, and highlighting effective techniques that might be applicable to problems arising in other industries.

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“…Applications are commonly described in crew scheduling for bus, rail, air ight and general transportations planning (see, e.g. [22][23][24][25][26][27]), ground station personnel scheduling at airports or maintenance teams in daily shift schedules (see, e.g. [28][29][30]), telecommunication services (telephone operator, telemarketing, customer hotline service) (see, e.g.…”

Section: Introductionmentioning

confidence: 99%

Workforce planning in a lotsizing mail processing problem

Júdice

Martins

Nunes³

2005

Computers & Operations Research

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The treatment of mail objects in a mail processing centre involves many operations, in particular sorting by destination. Out of the batching problem that we can identify in such a process, there are also sta planning concerns. In this paper, we analyse a treatment area (registered mail) belonging to a mail processing center, where mail objects are treated in a chain production process. The production quantities and the transfer amounts among machines are required to be determined along the daily work period. The objective is to minimize the costs with human resources needed in the process, linked with the lotsizing production plan, by matching sta to work requirements. This leads into a lotsizing and workforce problem, for which we propose an integer programming formulation. A case study of a particular treatment area is also discussed. The formulation is adjusted to the speciÿc constraints of this case study and some computational results are included, considering average, small and high daily amounts of mail arrived to that particular treatment area. ?

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An enhanced rostering model for airline crews

Cited by 51 publications

References 17 publications

Applications of Operations Research in the Air Transport Industry

Applications of Operations Research in the Air Transport Industry

Airline Schedule Planning: Accomplishments and Opportunities

Workforce planning in a lotsizing mail processing problem

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