INFORMS Philadelphia – 2015
214
4 - Bi-objective Route Planning for Unmanned Air Vehicles in
Continuous Space
Diclehan Tezcaner Ozturk, Dr., TED University, Industrial
Engineering, Ankara, Turkey,
diclehan.ozturk@tedu.edu.tr,
Murat Koksalan
We consider the route planning problem of a single unmanned air vehicle visiting
multiple targets in continuous space under two objectives: minimization of total
distance traveled and minimization of total radar detection threat. We develop
solution approaches to generate the nondominated frontier of this problem. We
also develop an interactive algorithm that asks for comparison between solutions
and progressively reduces the search area around the decision maker’s most
preferred solutions.
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28-Room 405, Marriott
Auctions and Trading Agents
Cluster: Auctions
Invited Session
Chair: Wolf Ketter, Professor, Rotterdam School of Management,
Burgemeester Oudlaan 50, Rotterdam, 3062 PA, Netherlands,
WKetter@rsm.nl1 - Understanding, Replicating, and Leveraging Dynamics of Bidder
Behavior in Combinatorial Auctions
Ali Mahdavi, Carlson School of Management, 321 19th Ave S,
#3-365, Minneapolis, MN, 55455, United States of America,
mahd0008@umn.eduWe use an agent-based modeling approach to simulate human bidder behaviors
observed in continuous combinatorial auctions. After validating our bidding
agents, we leverage them to simulate a wide variety of competition types (i.e.,
compositions of bidder behavior) and demonstrate how different competition
types affect auction outcomes, such as revenue and allocative efficiency.
2 - An Experimental Agent-based Approach for Intelligent Decision
Making on Electricity Future Markets
Derck Koolen, Rotterdam School of Management, Erasmus
University, Burgemeester Oudlaan 50, Rotterdam, 3062 PA,
Netherlands,
koolen@rsm.nl, Wolf Ketter, Liangfei Qiu,
Ronald Huisman
We study the determinants of forward prices and hedging decisions on electricity
future markets in an experimental agent-based setting. Faced with imperfect
storability and depending on price expectations, the agent supports producers
using different technologies with varying risks from fuel trading, emission prices
and weather conditions. Presenting different information treatments, the decision
making of wholesale market participants is assessed.
3 - Moral Hazard in Auctions: A Principal-agent Model of
Bidding Firms
Martin Bichler, Professor, TU München, Boltzmannstr. 3
Germany,
bichler@in.tum.de,Per Paulsen, Salman Fadaei
We model auctions where the bidders are firms consisting of a principal and an
agent. The agent wants to win the package with the highest expected value.
Bayesian Nash equilibrium strategies in sealed-bid auctions illustrate possibilities
for profitable manipulation of agents. For small markets we prove a non-truthful
ex-post Nash equilibrium. Sometimes it is impossible for the principal to set
allowances such that the agent bids truthful. In larger markets, there are multiple
equilibria.
4 - An Auction Mechanism for Scheduling Electric Vehicle Charging
Konstantina Valogianni, Rotterdam School of Management,
Erasmus University, Burgemeester Oudlaan 50, Rotterdam,
Netherlands,
kvalogianni@rsm.nl, Wolfgang Ketter, Soumya Sen,
Alok Gupta, Eric Van Heck
We present an auction-based framework for scheduling electric vehicle charging.
We account for individual arrival and departure preferences and aim to service as
many customers as possible without suffering major delays regarding their
departure time. We show how the payments need to be allocated to minimize the
system’s delay cost. We examine the effect of the presented mechanism to smart
grid’s stability and reliability.
5 - Dynamic Decision-making in Sequential B2b Auctions
Yixin Lu, Assistant Professor, VU University Amsterdam,
Netherlands,
y2lu@vu.nl, Eric Van Heck, Alok Gupta,
Wolfgang Ketter
We develop a dynamic structural model of competitive bidding in sequential B2B
auctions. Given that bidders often have multiple purchase opportunities in these
auctions, we formulate the optimal bidding problem as a partially observable
Markov decision process. We apply the model to a unique dataset from the
world’s largest flower wholesale market.
MC29
29-Room 406, Marriott
Joint Session Analytics/CPMS: Panel Session:
Extending the Reach of Certification: The New
Associate Certified Analytics Professional
Sponsor: Analytics
Sponsored Session
Chair: Polly Mitchell-Guthrie, Sr. Mgr., Advanced Analytics Customer
Liaison Group, SAS Institute, SAS Campus Dr., Cary, NC, 27513, United
States of America,
Polly.Mitchell-Guthrie@sas.com1 - Extending the Reach of Certification: The New Associate Certified
Analytics Professional
Moderator:Polly Mitchell-Guthrie, Sr. Mgr., Advanced Analytics
Customer Liaison Group, SAS Institute, SAS Campus Dr.,
Cary, NC, 27513, United States of America, Polly.Mitchell-
Guthrie@sas.com, Panelists: Louise Wehrle, Esma Gel,
Randy Bartlett
The Certified Analytics Professional (CAP®) Program will soon be within reach of
more people with the launch this fall of the Associate Certified Analytics
Professional. This new certification will retain the rigor of the current CAP and
will allow candidates to pass the certification exam without the required work
experience if those candidates have an MS in a related field. To earn the CAP,
experience is still required. We expect this new offering to be particularly
attractive to graduates of the many MS in Analytics degree programs where
demand has been high. This panel will include the Chair of the Analytics
Certification Board; the Certification Program Manager; a member of the
Analytics Certification Board who is also the INFORMS VP of Sections and
Societies; and a noted author, speaker, analytics professional as well as CAP. The
panel will discuss the overall CAP program, the new offering, and where the
program is headed.
MC30
30-Room 407, Marriott
Practice Presentations by INFORMS Roundtable
Companies II
Sponsor: INFORMS Practice
Sponsored Session
Chair: Stefan Karisch, Digital Aviation Optimization & Value Strategy,
Boeing Commercial Aviation Services, 55 Inverness Drive East,
Englewood, CO, 80112, United States of America,
stefan.karisch@jeppesen.com1 - A Consultancy’s Perspective on the Evolution of and Future
Opportunity for Operations Research
Nick Nahas, Booz Allen Hamilton, 8283 Greensboro Drive,
McLean, VA, 22102, United States of America,
nahas_nicholas@bah.com, Cenk Tunasar
Big Data is popular and computation is fast and distributed, yet has the practice
truly taken advantage of this in the same way as the Data Scientist? And what
can the practice do, to use Big Data to enhance management decision making?
And what innovations will this lead to? Booz Allen will explore these questions
from our perspective as a global management and technology consulting firm
with a diverse set of experiences solving today’s greatest challenges in the public
and private sector.
2 - Change Management for Analytics Projects
Irv Lustig, Optimization Principal, Princeton Consultants, 2
Research Way, Princeton, NJ, 08540, United States of America,
irv@princeton.com, Zahir Balaporia, John Milne, Karl Kempf,
Rahul Saxena
To gain the acceptance of analytics used for decision support, analytics
professionals should use organizational change management principles. This
paper provides advice to these professionals on these principles as they work with
key users to gain acceptance of analytics. These ideas are drawn from the
collective observations and insights of practitioners with decades of experience in
the development and deployment of analytic methods for improved decision
making.
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