INFORMS Philadelphia – 2015
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2 - Inventory Control for Returnable Transport Items in a Closed Loop
Supply Chain
Barry Cobb, Missouri State University, 901 S. National Ave.,
Springfield, MO, 65897, United States of America,
BarryCobb@MissouriState.eduA model for determining inventory control parameters for returnable transport
items in a closed-loop supply chain is presented. To incorporate uncertain
container returns, cycle time and return rate distributions are estimated from
radio frequency identification data. The effect of estimation errors due to a partial
tagging of containers is examined.
3 - Target-Oriented Utility in Operations Management
Robert Bordley, Expert Systems Engr Professional,
Booz-Allen-Hamilton, 525 Choice Court, Troy, MI, 48085,
United States of America,
Bordley_Robert@bah.comTarget-Oriented Utility allows utility theory (and thus risk-attitude) to be
seamlessly integrated into applications focused on meeting targets. Previous work
demonstrated its applicability in project management. This paper demonstrates its
applicability in production scheduling.
4 - Supplier Competition under Carbon Policy
Nikoo Sabzevar, University of Calgary, 2500 University Dr. NW,
Calgary, AB, T2N1N4, Canada,
nikou.sabzvar@gmail.com, Janne
Kettunen, Joule Bergerson, Silvanus T. Enns
We assess the impacts of carbon cap policy on the profitability of two suppliers
that compete against each other in supplying CO2 emission intensive products.
We capture the competitive interactions using a Cournot model. Our results
show, counterintuitively, that tightening the carbon cap can, under certain
conditions, increase firms’ profits. Also, we show that firms can increase their
profits further by engaging in bilateral trading of emission permits.
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66-Room 113C, CC
Reducing Impact of Delay through Improved Airport
Operations and Recovery Procedures
Sponsor: Aviation Applications
Sponsored Session
Chair: Heng Chen, University of Massachusetts Amherst, Isenberg
School of Management, Amherst, MA, 01003, United States of
America,
heng@som.umass.edu1 - Integrated Airline Recovery: Capturing Passenger
Compensation Impacts
Luis Cadarso, Rey Juan Carlos University, Camino del Molino s/n,
Fuenlabrada, 28943, Spain,
luis.cadarso@urjc.es,Vikrant Vaze
The European flight delay compensation regulation (EC) No 261/2004 establishes
common rules on compensation to passengers in the event of disruptions. We
develop an integrated approach that recovers airline timetable, fleet assignment,
aircraft routings, and passenger itineraries capturing the impacts of airlines’
decisions on passenger compensation. We evaluate scenarios involving
disruptions, and optimize recovery decisions to maximize profits by modeling
passenger no-shows after disruptions.
2 - A Large Neighborhood Search Heuristic for an Optimal Ad-hoc
Hubbing Strategy in an Airport Outage
Daniel Suh, Doctoral Student, University of Pennsylvania, 210
South 34th Street #102, Philadelphia, United States of America,
dansuh@design.upenn.eduAbrupt airport outages resulting from terrorism, natural disasters, and incidents
can cause reroutes and fuel-critical situations for flights. The objective of this
study is to design a heuristic that identifies an ad-hoc hubbing strategy: a strategy
to reroute flights bound for a disrupted airport to a hub airport that is not dis-
rupted, with the goal of accommodating passengers on existing flights departing
the non-disrupted hub while maintaining physical feasibility.
3 - Value of using a Departure Metering Area at Airports
Senay Solak, University of Massachusetts Amherst, Isenberg
School of Management, Amherst, MA, 01003, United States of
America,
solak@isenberg.umass.edu,Heng Chen
Departure metering is an airport surface management procedure that limits the
number of aircraft at the runway queue by holding aircraft at gates or at a
predesigned metering area. We identify the optimal capacity for such a metering
area, and quantify the overall value of the presence of a departure metering area
at airports. The analysis is performed through stochastic dynamic programming,
which is used to generate optimal metering decisions based on the status of each
flight.
4 - Impacts of Alternative Aircraft Taxiing Systems on
Airport Operations
Yu Zhang, Associate Professor, University of South Florida,
Tampa, 4202 E. Fowler Avenue, Tampa, Fl, 33620, United States
of America,
yuzhang@usf.edu, Rui Guo, Yuan Wang
Alternative taxiing is an innovative way of moving aircraft between airport gates
and runways without turning the main engines on. The existing alternative
aircraft taxiing systems (AATS) include on-board system such as WheelTug and
EGTS, and external systems such as TaxiBot. This study investigates the impacts of
AATS to airport operations, from both environmental and economic point of view
and use presentative US airports as the case study to demonstrate the outcomes.
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67-Room 201A, CC
Freight Logistics
Sponsor: TSL/Freight Transportation & Logistics
Sponsored Session
Chair: Rodrigo Mesa Arango, Assistant Professor, Florida Institute of
Technology, 150 W. University Blvd, Melbourne, FL, 32901, United
States of America,
rmesaara@purdue.edu1 - Bundling and Pricing Less-than-Truckload Services with
Stochastic Demand
Rodrigo Mesa Arango, Assistant Professor, Florida Institute of
Technology, 150 W. University Blvd, Melbourne, FL, 32901,
United States of America,
rmesaara@purdue.eduAlgorithms to bundle and price Less-than-truckload (LTL) services are proposed
considering stochastic demand, value-based pricing, and demand segmentation. A
two-stage min-cost flow problem accounts for uncertain demand. Its deterministic
equivalent is formulated as a regular min-cost flow problem and efficiently
solved. Deterministic models overestimate benefits. Numerical experiments reveal
the cost of uncertainty and demonstrate improvements in bundle quality.
2 - Operations Research in the Supply Chain: Narrowing the Gap
Between Theory and Practice
Kevin Zweier, Vice President, Chainalytics, 2500 Cumberland
Parkway, Suite 550, Atlanta, GA, 30339, United States of
America,
kzweier@chainalytics.comLearn how Chainalytics employs advanced analytics, modeling and optimization
tools, techniques and heuristics to help clients (a) drive fact-based transformation
and improve supply chain efficiencies in transportation sourcing, routing and fleet
management; network design; and inventory policy and planning and (b)
benchmark their rates for competitive analysis via membership in the Freight
Management Intelligence Consortium (FMIC).
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68-Room 201B, CC
Inference and Control in Dynamic Routing
Sponsor: Transportation, Science and Logistics
Sponsored Session
Chair: Negin Ebadi, University at Buffalo, 326 Bell Hall, Buffalo, NY,
14226, United States of America,
negineba@buffalo.edu1 - Inferring Travelers’ Origin-Destination and Preferences via Shared
Mobility System Utilization
Anshuman Kumar, University of Buffalo, Buffalo, NY,
akumar27@buffalo.edu,Alexander Nikolaev, Jee Eun Kang
This research develops new methods to identify individual travelers’ preferences
and at the same time, infer “true” Origin-Destination (OD) based on incomplete
route information of shared mobility system uses. Based on observations of
travelers’ route choices of a bike sharing system under various price settings, the
proposed methods performs probabilistic reasoning to infer travelers’ OD and
preference.
2 - Mechanism Design for Route Assignment in Traffic Networks
Tarun Rambha,
tarun.1988@gmail.com,Stephen Boyles
Assuming that travelers specify their maximum willingness to pay for a trip, we
explore mechanisms in which a centralized controller assigns travelers to routes
to optimize social welfare while ensuring incentive compatibility. Travelers’
utilities are assumed to be a function of their willingness to pay and experienced
travel times.
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