2016 INFORMS Annual Meeting Program

324 / 561

INFORMS Nashville – 2016
324
TC62
Cumberland 4- Omni
Robust and Low Cost Airline Operations under
Uncertainty and Disruptions
Sponsored: Aviation Applications
Sponsored Session
Chair: Heng Chen, University of Nebraska-Lincoln, Supply Chain
Management and Analytics, Lincoln, NE, 68588, United States,
Supply Chain Management and Analytics
1 - Incorporating Downstream Disruptions In Robust Planning
And Recovery
Jeremy Castaing, PhD Student, University of Michigan, 1205 Beal
Avenue, 2753 IOE Building, Ann Arbor, MI, 48109-2117,
United States, , Amy Cohn
When disruptions occurs in the network, airlines have to make recovery decisions
to recover and minimize future cancellations, delays, passenger missed
connections etc... These decisions are often made solely based on the current state
of the system. We propose a robust recovery approach that takes into account
correlation and propagation of delays to mitigate future disruptions.
2 - Lower Cost Airport Departure Operations Under The Departure
Metering Concept
Heng Chen, Assistant Professor, University of Nebraska–Lincoln,
Lincoln, NE, 68588, United States, , Senay Solak
Departure metering is an airport surface management procedure that limits the
number of aircraft on the runway by holding aircraft at gates or at a predesigned
metering area. We develop a stochastic dynamic programming framework to
identify the optimal gate, metering area and departure queue allocation policies to
minimize expected overall fuel burn costs. In addition, we introduce easy-to-
implement practical departure metering policies and evaluate their performances.
We also identify the optimal metering area capacity and quantify the value of the
presence of a departure metering area at airports.
3 - On The Competition Intensity Of U.S. Airline Market With Fuel
Cost Fluctuations
Soheil Sibdari, University of Massachusetts, Charlton College of
Business,, Dartmouth, MA, 0, United States,
We investigate a recent phenomenon in the U.S. airline market that despite lower
jet fuel costs, which is a major part of airlines’ operational cost, airline customers
are experiencing higher airfares and more crowded planes. This can be, in part,
due to the recent policies of airlines in selecting airplane sizes that changes the
competition intensity. In this paper, we analyze the operations of seven major
airlines including two low cost carriers and measure the impact of fuel cost
fluctuations in capacity choice and competition intensity.
TC63
Cumberland 5- Omni
Location Analysis I
Sponsored: Location Analysis
Sponsored Session
Chair: Dmitry Krass, University of Toronto, 105 St. George Street,
Toronto, ON, M5S 3E6, Canada,
1 - Random Attractiveness Level In Huff’s Competitive Model
Tammy Drezner, California State University-Fullerton, Steven G.
Mihaylo College of Business and Economics, 800 N State College,
Fullerton, CA, 92834, United States, ,
Dawit Zerom, Zvi Drezner
We investigate the Huff competitive location model assuming that the
attractiveness level is normally distributed. It is realistic to assume that different
consumers have a different perception of the attractiveness level. The model
becomes the standard model when the standard deviation of the normal
distribution for all facilities vanishes. We investigate the effect on the market
share captured by the new facility and its optimal location by increasing the
standard deviation of the new facility and/or the existing facilities.
2 - An Alternative Solution For The Time-difference-of Arrival (TDOA)
Location Problem
Lin Dearing, Clemson University, 520 Bentbrook Lane, Clemson,
SC, 29631, United States,
The TDOA location problem is to locate the source of a signal using the known
locations of a set of receivers and the arrival times of a signal sent from the source
to the receivers. A new approach for intersecting n-dimensional hyperboloids
gives the location.
3 - Optimal Addition Of A New Facility To The Existing Network.
Planar Continuous Demand Case
Dmitry Krass, University of Toronto, Toronto, ON, Canada,
Jonathan Lorraine
We consider the optimal addition of a new facility to a set of facilities serving
continuously distributed demand under the Euclidean norm. The objective is to
maximize the demand attracted to the new facility; in the case of continuously
distributed demand, this is equivalent to maximizing the area of the Voronoi cell
of the new facility. New computational results, as well as extensions to non-
uniform demand, will be presented. Relation to the L1 norm case will be
discussed.
4 - Joint Optimization Of Location And Design Of New Facilities
Dmitry Krass, University of Toronto, ,
Robert Aboolian, Oded Berman
We address the problem of simultaneous location and design of a network of
service facilities. A novel solution approach is developed, consisting of a optimal
design solution for the single facility case and a an approximation scheme for the
case of multiple facilities. Computational results illustrating the efficiency of the
method will be presented.
TC64
Cumberland 6- Omni
Multiple Criteria Decision Making Applications I
Sponsored: Multiple Criteria Decision Making
Sponsored Session
Chair: Banu Lokman, Middle East Technical University, Ankara, Turkey,
1 - An Interactive Approach To Design Parameter Optimization
Considering Response Surface Prediction Errors
Melis Ozates, Middle East Technical University, Çankaya/Ankara,
06800, Turkey, , Gulser Koksal, Murat
Mustafa Koksalan
An interactive approach is presented for finding parameter settings of a product or
process design that allows achieving targets for two responses as well as
robustness. The approach utilizes response surface models and it allows the
decision maker to consider magnitude of prediction errors in choosing the design
solution.
2 - Prioritization Of Military Threats For Ground Based Air Defense By
Analytic Hierarchy Process
Gulser Koksal, Middle East Technical University, Ankara, Turkey,
Omer Kirca, Can B. Cetin, Derya Dinler,
Derya Ipek Eroglu, Gulten Gokayaz
In threat evaluation and weapon assignment for ground based air defense it is
aimed to make threats such as bombers and missiles ineffective with systems
involving weapons and jammers. Assignment of these weapons to threats may
require prioritization of the threats. In this study, a threat prioritization approach
based on AHP is developed and implemented. Final weights of prioritization
criteria are determined by following an iterative test and optimization approach.
The approach has been effective in handling inconsistencies of decision makers,
and verification and validation of results.
3 - Finding Representative Nondominated Sets For Multi-objective
Integer Programs
Banu Lokman, Middle East Technical University,
Gokhan Ceyhan, Murat Mustafa Koksalan
We develop algorithms to generate representative nondominated sets for multi-
objective integer programs. The algorithms are designed to produce a desired
number of nondominated points satisfying certain quality criteria. We show that
our algorithms work well on randomly generated instances of multi-objective
assignment and knapsack problems.
4 - Issues In Selecting A Representative Set For Multi-objective
Integer Programs
Sami Serkan Ozarik, ASELSAN, ,
Banu Lokman, Murat Mustafa Koksalan
We observe that many alternative representative sets may satisfy existing
performance measures equally well. It may be useful to develop additional
performance measures to break ties. We provide various properties of such sets
and discuss additional possible measures. We present some empirical results.
TC62