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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.

MC28

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.nl

1 - 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.edu

We 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.com

1 - 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.com

1 - 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.

MC28