Informs 2015

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INFORMS Philadelphia – 2015
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3 - Pooling Principals by a Repair Agent
Shuo Zeng, University of Arizona, McClelland Hall 430, 1130 E.
Helen Street, Tucson, AZ, 85721, United States of America,
, Moshe Dror
The literature on principal-agent interplay has its focus on the principal. We focus
on the agent. For performance based service contracts it is known that the
principal extracts all the surplus and the agent breaks even. But this is not the
case for an agent contracting with multiple principals. We show that agent who
contracts with a collection of principals with interdependent failure characteristics
realizes a profit rate that is convexly increasing in the number of principals.
4 - A Game Theoretic Study on Fake Goods Issue in
C2c E-commerce
Fen Ding, Huazhong University of Science and Technology,
School of Management,1037 Luoyu Road, Wuhan, China,
This paper mainly researches the fake goods issue of C2C e-commerce sites by
analysis on suppliers, buyers and sellers based on game theory. Supplier’s credit
problem leads to the spread of fake goods, which effect seller’s credit and arouse
fraud, caused by the imperfect credit management. Based on that, we build a
game model,and then we make an improvement by regulating the suppliers.
5 - How Personality Type Changes the Impact of Recommendation
on Investment Decisions
Jun-Yuan Chen, Frontier High School, 1601 East Debbie Ln, Apt.
1301, Mansfield, United States of America,
We study how personality types, measured by the Myer-Briggs Type Indicator
(MBTI) survey, affect the impact of recommendations on investment choices. The
MBTI measures personality types in multiple dimensions including how
individual processes information, and react to stimulus. We manipulated the
presence of a recommendation between two investment choices. We found the
impact of this manipulation is mediated by the results of the personality type
survey.
WD17
17-Franklin 7, Marriott
Networks and Graphs I
Contributed Session
Chair: Boris Brimkov, Rice University, 6100 Main MS-134,
Houston, TX, 77005, United States of America,
1 - Micro to Macro Community Scaling in Human and
Bacterial Societies
Irina Cazan, Carnegie Mellon University, Electrical and Computer
Engineering, 2134 Hamerschlag Hall, Pittsburgh, PA, United
States of America, Connor Walsh,
Radu Marculescu
This decade has seen broad research in the social behavior of microbes, with
parallels drawn to human behavior to explain core network formation processes.
This work explores static and dynamic properties of microbial and human social
networks to identify the role of such processes in forecasting community
evolution. Using the human microbiome and startup networks, similarities are
identified in static features and reaction to disruptions, and contrasts in dynamic
evolution.
2 - Graph Based Approaches for Managing Cyber-physical Systems
Fabian Runge, Research Assistant, Jade University, Friedrich-
Paffrath-Strasse 101, Wilhelmshaven, 26389, Germany,
Sabine Baumann, Oliver Eulenstein
Common solutions for controlling cyber-physical systems focus on linear
approaches. However, the system consists of self-referential, but connected and
interacting systems and thus high complexity. Given the growing amount of
related (sensor) data and the interdependencies of the systems, graph based
solutions, like neural networks, seems to be more suitable for controlling the
production. This paper describes current graph related methods to handle the
growing complexity.
3 - On the Statistical Monitoring of Communication Networks
Marcus Perry, University of Alabama, 305 Alston Hall, 361
Stadium Drive, Tuscaloosa, AL, 35487, United States of America,
, Ketong Wang, Xuwen Zhu
Often, decision-makers need to be aware of significant organizational changes in
advance to avoid or mitigate potential crisis. Communication networks often
serve as a proxy for assessing organizational structure. In this talk, we discuss
application of statistical process control methods to efficiently detect changes in
macro organizational structure within communication networks. We apply our
approach to a time series of daily email networks from the Enron email corpus
during crisis time.
4 - Efficient Computation of Chromatic and Flow Polynomials
Boris Brimkov, Rice University, 6100 Main MS-134, Houston, TX,
77005, United States of America, , Illya Hicks
The chromatic and flow polynomials of a graph count the number of ways to
color and assign flow to the graph. We present closed formulas and polynomial-
time algorithms for computing the chromatic polynomials of novel
generalizations of trees, cliques, and cycles. We also use graph duality to compute
the flow polynomials of outerplanar graphs and generalized wheel graphs.
WD18
18-Franklin 8, Marriott
Optimization Robust II
Contributed Session
Chair: Svenja Lagershausen, Leibniz Universitaat
Hannover, Wirtschaftswissenschaftliche Fakultaat,
Königsworther Platz 1, Hannover, 30167, Germany,
1 - Robust Pessimistic Bi-level Optimization
Ihsan Yanikoglu, Özyegin University, Nisantepe Cekmeköy,
Istanbul, Turkey, , Daniel Kuhn
This paper proposes a robust optimization approach for a class of pessimistic
bilevel optimization problems with uncertain data. The associated optimization
problem consists of binary ``here and now’’ decisions that are made before data
reveals itself; continuous ``wait and see’’ decisions that are adjustable according to
the revealed portion of the data. We propose conservative and progressive
approximations of such bilevel optimization problems.
2 - Investor Avoidance from Risk as Uniform Portfolio
Becomes Optimal
Ahmed Burak Paç, PhD Candidate, Bilkent University,
Department of Industrial Engineering, Ankara, 06800, Turkey,
In a market of N risky assets, asset returns follow a multivariate distribution
involving distributional uncertainty in a ball around a known nominal
distribution. As the radius of uncertainty increases, optimal investment converges
to the uniform portfolio with equal 1/N wealth on each asset. In this study, the
tendency of the investor to respond to incresing uncertainty by avoiding risk, i.e.,
the uniform portfolio, is investigated, introducing a riskless asset.
3 - Robust Optimization of Process Industries under
Price Uncertainty
Jens Bengtsson, Associate Professor, School of Economics and
Business, Norwegian University of Life Sciences, P.O Box 5003,
Aas, 1432, Norway, Mikael Ronnqvist,
Patrik Flisberg
Several studies indicate relationships between changes in input prices and output
prices in process industries, e.g. oil refinery. It is of interest to analyze how such
relationships can be incorporated in uncertainty constaints which then is used in
robust optimization of decisions in the supply chain. Then it also of interest to
analyze how different uncertainty constraints will affect the planning of the
supply chain, risk exposures and the cost of robustness.
4 - Robust Harvesting Planning in Lumber Supply Chains with
Random Supply and Demand
Omid Sanei Bajgiran, PhD Candidate, Concordia University,
1455 De Maisonneuve Blvd. W., Montreal, QC, Canada,
, Mustapha Nourelfath,
Masoumeh Kazemi Zanjani
We propose a robust harvesting planning model under log supply and demand
uncertainty that affect the right hand side, constraints, and the objective function
coefficients. The proposed robust optimization model which has been formulated
based on “price of robustness” provides some insights into the adjustment of the
level of robustness of the harvesting plan over the planning horizon and
protection against uncertainty.
5 - Dynamic Multi-product Lot-sizing Problem under Uncertainty
Svenja Lagershausen, Leibniz Universität
Hannover, Wirtschaftswissenschaftliche Fakultät,
Künigsworther Platz 1, Hannover, 30167, Germany,
We present a stochastic single-level, multi-product dynamic lot-sizing problem
subject to a strict production capacity constraint. The production schedule is
determined such that the expected costs are minimized. The backlog is limited
using a d-service-level constraint. This leads to a non-linear model that is
approximated by a linearization model.
WD18