Informs 2015

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INFORMS Philadelphia – 2015
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3 - Protecting and Restoring Facilities from Intentional Attacks
Chi Zhang, Assistant Professor, Tsinghua University, 100084
Beijing, Department of Industrial Engineering, Beijiing, China,
, Sachuer Bao
Besides protecting facilities from intentional attacks, another paramount issue is
taken into consideration- restoring destroyed facilities to optimal service level
within a given time interval. The defender decides which facilities to protect
before an attack, and resource allocation between improving capacities of
operational facilities and rebuilding destroyed facilities after an attack, to
maximize profit by satisfying customer demands. The problem is solved by an ant
colony algorithm.
4 - Coordinating Pre- and Post-disaster Resource Allocation at
Multiple Locations
Fei He, Assistant Professor, Texas A&M University-Kingsville, 700
University Blvd., Kingsville, TX, 78363, United States of America,
Jun Zhuang
Resource allocation in the face of disaster aims to improve the efficiency and
effectiveness of disaster relief. In this research, disaster preparedness and relief at
multiple locations are modeled in a two-stage stochastic programming framework
with the objective of loss minimization. New insights of coordinating
preparedness and relief at multiple locations are provided.
5 - Model Validation for a Public-private Partnerships Model in
Disaster Management
Vineet Madasseri Payyappall, PhD Student, University at Buffalo,
305 Winspear Avenue (Upper), Buffalo, NY, 14215, United States
of America, , Peiqiu Guan, Jun Zhuang
This research designed and conducted an experiment to validate a public-private
partnerships model in disaster management. A two-staged experiment was
conducted in a computer simulated environment. The risk behaviors of the
subjects were evaluated in the first stage, and the second stage collected the
decision of the subjects, who played the role of the private sectors, under different
scenarios. The experiment shows that our model results are consistent with the
experimental results.
TB03
03-Room 303, Marriott
New Topics in Scheduling
Cluster: Scheduling and Project Management
Invited Session
Chair: Rainer Kolisch,
1 - Coordinating Subcontractor Scheduling with Divisible Jobs
Behzad Hezarkhani, Assistant Professor, Nottingham University
Business School, Jubilee Campus, Nottingham, United Kingdom,
, Wieslaw Kubiak
We study a decentralized scheduling problem with a single subcontractor and
several agents having divisible jobs. Under complete information, we design
pricing schemes that always make the agents’ decisions coincide with efficient
schedules. Under private information, we prove that the pivotal mechanism
makes truth-telling the only optimal choice of the agents when announcing their
processing times. We comment on the subcontractor’s revenue under complete
and private information.
2 - Single Machine Scheduling via Decision Theory
J.J. Kanet, Department of MIS/OM/DSC, 300 College Park,
University of Dayton, Dayton, OH, 45419-2130,
United States of America,
We consider the following procedure for scheduling a single machine. At time t
the machine is free with a set N of n jobs ready to occupy it. Thus, we have n
choices for jobs to occupy the machine starting at time t with the remaining n-1
jobs completed later. Given that a job k is tentatively chosen to next occupy the
machine, we calculate its completion time and the expected value (E) of the
completion times of the remaining n-1 jobs. We do this for each of the n choices,
producing for each the set of completion times C = {Cj?j?N}. We then evaluate the
objective Z = f(C) choosing that job k?Z is minimum to next occupy the machine.
We provide an unbiased estimator of the set C and show that the procedure
provides optimum results when the objective Z is to minimize flow time or
maximum tardiness.
3 - Scheduling on a SIngle Machine under Time of Use Tariffs
Kan Fang, Tianjin University, No 92 Weijin Road, Nankai District,
Tianjin, 300072, China, , Nelson Uhan
We consider the problem of scheduling jobs on a single machine to minimize the
total electricity cost of processing these jobs under time-of-use electricity tariffs.
We show the computational complexity of this problem for both the uniform-
speed and speed-scaling cases, present different approximation algorithms for the
speed-scaling case and analyze their computational performance. We also show
how to compute optimal schedules for the preemptive version of the problem in
polynomial time.
4 - The Value of Flexibility and Shift Extensions in
Physician Scheduling
Andreas Fögener, University of Augsburg, Universitätsstrafle 16,
Universität Augsburg, WiWi, Augsburg, De, 86159, Germany,
, Jens Brunner
Scheduling physicians is a relevant topic in hospitals. In the literature, demand is
usually assumed to be deterministic. However, surgery durations and emergencies
contain uncertainty. We model stochastic physician demand using a scenario-
based approach. We introduce flexible shift extensions, where physicians might
have to work longer to match supply with demand and simultaneously increase
predictability of working hours. We propose a mixed-integer model and a column
generation heuristic to solve our problem.
TB04
04-Room 304, Marriott
The Business of Music and Emotion in Social Media
Cluster: Social Media Analytics
Invited Session
Chair: Chris Smith, TRAC-MTRY, 28 Lupin Lane, Carmel Valley, 93924,
United States of America,
1 - Philippine Language and Emotion During Typhoon
Haiyan/Yolanda
Amanda Andrei, Graduate Student, Georgetown University,
An investigation of language and emotion in tweets from the Philippines before
and after 2013 supertyphoon Haiyan/Yolanda using Linguistic Inquiry and Word
Count (LIWC), breakpoint analysis, and a computational clustering tool revealed
differences in topics and emotions depending on whether messages were
expressed in English or Filipino.
2 - Subscribe or Sell: Itunes vs. Google Play Music all Access
Hooman Hidaji, PhD Student, University of Alberta, #1604 8515
112 St. NW, Edmonton, Al, T6G1K7, Canada,
Recently, subscription has become a popular method of user monetization in
online media business along with selling model. It is expected that firms utilize
both approaches to cover as much demand as possible. However, pricing strategy
of the firms is crucial in determining the demand for the two. In this study, using
an economic model with endogenous demand, we set to model how the firm
decides on the business model. Different user types and business model-
dependent demand are considered.
3 - Stock Market Prediction using Disparate Data Sources
Bin Weng, Auburn University, 425 Opelika Rd Apt. 224, Auburn,
Al, 36830, United States of America, ,
Fadel Megahed
Stock market prediction has attracted much attention from academia as well as
business. In recent years, social media is considered as a new source to affect
human’s behavior and decision-making. In this paper, we will develop a new way
to predict the movement of the stock market using disparate data source, social
media data and market data. In order to predict the stock price more accurately,
the model is developed using multivariable selection method and machine
learning statistic methods.
TB05
05-Room 305, Marriott
Social Media in Business
Cluster: Social Media Analytics
Invited Session
Chair: Dokyun Lee, Carnegie Mellon University, Pittsburgh, PA,
United States of America,
1 - Understanding the Impact of Discussions on Quality of
Crowdsourced Content – The Case of Wikipedia
Srikar Velichety, PhD Student, Eller College of Management,
University of Arizona, 1130 E Helen St, Tucson, AZ, 85719,
United States of America,
Jesse Bockstedt, Sudha Ram
We investigate the impact of discussions on the quality of Crowdsourced content
using a data science approach that involves conducting an exploratory study to
uncover the associations among different discussion characteristics and article
quality and building a prediction model. By identifying appropriate instruments to
overcome selection, we build a model to quantify the impact of these
characteristics. Our results show that most of these characteristics have a positive
impact on quality.
TB05