نتایج جستجو برای: crew pairing

تعداد نتایج: 31355  

Journal: :IBM Journal of Research and Development 2007
Balachandran Vaidyanathan Krishna C. Jha Ravindra K. Ahuja

We present our solution to the crew-scheduling problem for North American railroads. (Crew scheduling in North America is very different from scheduling in Europe, where it has been well studied.) The crew-scheduling problem is to assign operators to scheduled trains over a time horizon at minimal cost while honoring operational and contractual requirements. Currently, decisions related to crew...

2002
Cynthia Barnhart Amy M. Cohn Ellis L. Johnson Diego Klabjan George L. Nemhauser Pamela H. Vance

Crew scheduling can be defined as the problem of assigning a group of workers (a crew) to a set of tasks. The crews are typically interchangeable , although in some cases different crews possess different characteristics that affect which subsets of tasks they can complete. Crew scheduling problems appear in a number of transportation contexts. Examples include bus and rail transit, truck and r...

2006
Mirela STOJKOVIĆ François SOUMIS

This paper introduces a new kind of operational multi-crew scheduling problem which consists in simultaneously modifying, as necessary, the existing flight departure times and planned individual work days (duties) for the set of crew members, while respecting predefined aircraft itineraries. The splitting of a planned crew is allowed during a day of operations, where it is more important to cov...

2010
Viswanathan Prem Kumar Michel Bierlaire Olivier Gallay

This paper studies the crew planning problem as observed in the transportation industry. We first survey the existing literature on crew scheduling applications in railways and airlines. Next, we identify the synergies in the two domains and propose new directions for railway crew scheduling inspired from the applications in airlines.

2016
Cathy Ann Marshall Euclid Morris Nigel Unwin

BACKGROUND The Caribbean has one of the largest cruise ship industries in the world, with close to 20 million visitors per year. The potential for communicable disease outbreaks on vessels and the transmission by ship between countries is high. Barbados has one of the busiest ports in the Caribbean. Our aim was to describe and analyse the epidemiology of illnesses experienced by passengers and ...

2012
Christopher Bayliss Geert De Maere Jason A. D. Atkin Marc Paelinck

This paper introduces a probabilistic model for airline reserve crew scheduling. The model can be applied to any schedules which consist of a stream of departures from a single airport. We assume that reserve crew demand can be captured by an independent probability of crew absence for each departure. The aim of our model is to assign some fixed number of available reserve crew in such a way th...

2009
Lucas P. Veelenturf Daniel Potthoff Dennis Huisman Leo G. Kroon

Railway operations are disrupted frequently, e.g. the Dutch railway network experiences about three large disruptions per day on average. In such a disrupted situation railway operators need to quickly adjust their resource schedules. Nowadays, the timetable, the rolling stock and the crew schedule are recovered in a sequential way. In this paper, we model and solve the crew rescheduling proble...

Journal: :Annals OR 2005
Balaji Gopalakrishnan Ellis L. Johnson

The airline industry is faced with some of the largest scheduling problems of any industry. The crew scheduling problem involves the optimal allocation of crews to flights. Over the last two decades the magnitude and complexity of crew scheduling problems have grown enormously and airlines are relying more on automated mathematical procedures as a practical necessity. In this paper we survey di...

2002
Todd J. Callantine

This paper presents an application of activity tracking for pilot error detection from flight data. It describes the Crew Activity Tracking System (CATS), in-flight data collected from the NASA Langley Boeing 757 Airborne Research Integrated Experiment System aircraft, and a model of B757 flight crew activities. It then presents an example of CATS detecting actual in-flight crew errors.

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