#### Filter Results:

- Full text PDF available (8)

#### Publication Year

2006

2017

- This year (1)
- Last 5 years (3)
- Last 10 years (6)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial model (MNL) is a special case, may overestimate recapture in certain cases. The second concern is that the choice based deterministic linear program (CBLP),… (More)

- Guillermo Gallego, Richard Ratliff, Sergey Shebalov
- Operations Research
- 2015

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial logit (MNL) model is a special case, tends to overestimate demand recapture in practice. The second concern is that the choice based deterministic linear… (More)

- Sergey Shebalov, Diego Klabjan
- Transportation Science
- 2006

Due to irregular operations, the crew cost at the end of a month is typically substantially higher than the projected crew cost in planning. We assume that the fleeting and the aircraft routing decisions have already been made. We present a model and a solution methodology that produces robust crew schedules in planning. Besides the objective of minimizing… (More)

- Jon D. Petersen, Gustaf Sölveling, John-Paul Clarke, Ellis L. Johnson, Sergey Shebalov
- Transportation Science
- 2012

While the airline industry has benefited from advancements made in advanced analytical OR methods, most products used in operation stem from the frictionless environment of the planning stage. With 22% of all flights being delayed and 3% being canceled in the U.S. since 2001, schedule perturbations are inevitable. The complexity of the operational… (More)

- Jie Yang, Sergey Shebalov, Diego Klabjan
- ArXiv
- 2017

We introduce a semi-supervised discrete choice model to calibrate discrete choice models when relatively few requests have both choice sets and stated preferences but the majority only have the choice sets. Two classic semi-supervised learning algorithms, the expectation maximization algorithm and the cluster-and-label algorithm, have been adapted to our… (More)

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial model (MNL) is a special case, tends to be too optimistic in estimating demand spill. The second concern is that the choice based deterministic linear program… (More)

- Sergey Shebalov, Young Woong Park, Diego Klabjan
- Discrete Applied Mathematics
- 2006

We investigate the convex hull of the set defined by a single inequality with continuous and binary variables with variable upper bound constraints. We extend the traditional flow cover inequality, and show that it is valid for a restriction of the set in which some variables are fixed. We also give conditions under which this inequality is facet-defining… (More)

This paper addresses two concerns with the state of the art in network revenue management with dependent demands. The first concern is that the basic attraction model (BAM), of which the multinomial model (MNL) is a special case, may overestimate recapture in certain cases. The second concern is that the choice based deterministic linear program (CBLP),… (More)

- ‹
- 1
- ›