Informs 2015

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INFORMS Philadelphia – 2015
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WA36
36-Room 413, Marriott
Joint Session PPSN/TSL: Network Infrastructure
Recovery and Resilience
Sponsor: Public Sector OR and TSL
Sponsored Session
Chair: Ozlem Ergun, Assoc. Prof, Northeastern University, 360
Huntington Avenue, Boston, ma, 02115, United States of America,
1 - Restoration of Network Connectivity in Large-scale Disaster
Response Problems
Aybike Ulusan, PhD Student, Northeastern University, 360
Huntington Avenue, Boston, MA, 02115, United States of
America, , Ozlem Ergun
The goal of this study is to establish the connectivity of a disrupted road network
in a timely manner by determining a schedule for recovering/repairing damaged
edges. Due to the complex nature of the problem, we propose a heuristic that
prioritizes the edges based on their head and tail nodes’ centrality measures. By
capturing the particular features of the network topology with these measures,
we are able to acquire near-optimal solutions in a rapid fashion.
2 - On the Value of Information-sharing in Interdependent
Infrastructure Restoration
Thomas Sharkey, Rensselaer Polytechnic Institute, 110 8th Street,
Troy, NY, 12180, United States of America,
Huy Nguyen, John Mitchell, William Wallace
We consider the problem of restoring multiple disrupted infrastructure networks
after an extreme event. This work analyzes the loss in restoration effectiveness
resulting from decentralized planning across these networks in forming their
restoration plans. We then examine different levels of information-sharing
schemes and their impact in reducing this loss. Computational results based on
realistic damage scenarios to networks are presented.
3 - An Integrated Network Design and Scheduling Problem for
Network Restoration
Suzan Afacan, Graduate Student, University of Wisconson
Madison, 1415 Engineering Dr, Madison, WI, 53706,
United States of America, Laura Mclay
Infrastructure recovery is important for delivering time-sensitive services and
commodities after a disaster. To examine this issue, we present an extension of
the p-median problem that allows for network components to be installed by
repair crews with a goal of minimizing the cumulative weighted distance. The
model is illustrated with a computational example.
WA38
38-Room 415, Marriott
Bayesian Approach I
Contributed Session
Chair: Babak Zafari, The George Washington University School of
Business, 2201 G Street NW, Funger Hall, Suite 415, Washington, DC,
United States of America,
1 - Bayesian Inference for Deadline Reactivity
Ji-eun Kim, PhD Student, The Pennsylvania State University,
Department of Industrial Engineering, 310 Leonhard Building,
University Park, PA, 16802, United States of America,
David A. Nembhard
In time management phenomenon, human generally exhibit the rush before a
deadline. This means relatively little time is devoted to tasks at the beginning, and
most of the work is performed in close time proximity to the deadline. A Bayesian
inference is applied to course website data to obtain reliable individual differences
in pacing styles. We observe large reductions in error on data sets, which suggests
that Bayesian estimation is a useful tool for learning deadline reactivity.
2 - Bayesian Estimation of Time of the First Bid in Retail Secondary
Market Online Auctions
Babak Zafari, The George Washington University School of
Business, 2201 G Street NW, Funger Hall, Suite 415, Washington,
DC, United States of America,
In this work, we propose to develop a model to estimate the distribution of the
time of the first bid in retail secondary market online auctions. The proposed
estimation is based on a Bayesian mixture model of finite beta distributions. Our
main interest is to study this distribution from auctions heterogeneity point of
view. We also discuss managerial implications and suggest how auctioneers can
benefit from this study.
3 - A Framework for Pediatrics Clinic No-show Prediction using
Elastic Net and Bayesian Belief Network
Kazim Topuz, Wichita State University, 3737 N. Rushwood St.
Apt. 1205, Wichita, KS, 67226, United States of America,
This study predicts the no-show probability of the patient with using
demographic, social and appointment as well as appointment attendance
information. We develop a hybrid probabilistic prediction framework based on
statistics and Bayesian network. We utilized Elastic Net for selection of the
variables and state of art structural learning algorithm for building the Bayesian
Belief Network.
WA39
39-Room 100, CC
Supply Chain Management with
Marketing Considerations
Cluster: Operations/Marketing Interface
Invited Session
Chair: Yusen Xia, Georgia State University, 35 Broad St., Atlanta, GA,
United States of America,
1 - Product Quality Strategy in the Presence of Consumer
Heterogeneity of Technology Platform
Xiuli He, University of North Carolina Charlotte, 9201 University
City Blvd, Charlotte, NC, United States of America,
, Yong Zha
This paper investigates quality strategy of the technology product which is
attached to the platform when consumers convey a transaction utility on
platform. We show that seller will choose different product quality strategies
when consumers are homogeneous or heterogeneous on platform and seller has
different platform cost strategies.
2 - Modeling Risk and Ambiguity-on-Nature in Normal-Form Games
Jian Yang, Associate Professor, Rutgers University, 1 Washington
Park RM1084, Newark, NJ, 07102, United States of America,
We propose multi-player frameworks that mitigate decision-theoretical difficulties
with the traditional normal-form game. We react to Allais’s (1953) paradox by
concerning players with potentially nonlinear functionals of the payoff
distributions they encounter. To deal with Ellsberg’s (1961) paradox, we let
players optimize on vectors of payoff distributions in which every component
corresponds to one nature action. Equilibria are linked to nonlinear programs.
3 - Supply Chain Excellence and Firm Values
Min Shi, Associate Professor, California State University, Los
Angeles, 5151 University Drive, Los Angeles, CA, 90032, United
States of America, , Wei Yu
We empirically investigate the impacts of supply chain excellence, measured by
AMR Research’s Supply Chain Top 25 list, on firms’ financial market performance
under different macroeconomic scenarios from 2004-2014. In addition, this paper
examines how the characteristics of SCM excellence influence the leading SCM
firms on the financial market.
4 - Price or Quality-based Competition and Channel Structure with
Consumers Loyalty
Sujuan Wang, Institute of Management and Decision, Shanxi
University, NO. 92 Wucheng Road, Xiaodian District, Taiyuan,
030006, China, , Qiying Hu
In the practices of Chinese household appliance industry, we introduce a model
for two manufacturers with different customer loyalty who may sell products
through a decentralized channel or an integrated channel to consumers and face
deterministic demand depending on quality, retail price and customer loyalty. We
show that channel choices are closely related to market types and find
decentralized channel structures is more likely.
WA39