Informs 2015

317 / 552

INFORMS Philadelphia – 2015
315
48 - Big Data Analytics for Singapore Public Train System
Nang Laik Ma, Senior Lecturer, SIM University, 461 Clementi
Road, Singapore, 599491, Singapore, ,
Beng Yee Wong
This paper focus on capacity planning of the Singapore public transport system.
We analyse the commuters’ travelling patterns from historical transactions data.
Secondly, by simulating train schedule and capacity constraints, the model
mimicked the real-world situations to generate the waiting time for each
commuter. Finally, a web-based visualization tool is created to provide the
average waiting time for the next train at the station to enhance the commuter’s
experience.
49 - Hospital Residents Problem: A Survey Including a New Variant
Kaitlyn Manley, College of Charleston, 66 George St, Charleston,
SC, 29424, United States of America,
Tyler Perini, Amy Langville
We survey several variations of the Stable Matching Problem, including the
Hospital Residents Problem used to assign American medical residents to
hospitals. We also present a new variation of the stable matching problem that
uses an binary integer linear program to determine the minimum number of
interviews that hospitals should conduct in order to still maximize the number of
residents assigned.
50 - Exploring the Multi-objective Portfolio Tradespace
Simon Miller, Graduate Student, Penn State Applied Research
Lab, P.O. Box 30, State College, PA, 16804, United States of
America, , Gary Stump, Sara Lego,
Michael Yukish
Faced with strategic choices, senior decision makers must often make trades to
meet competing requirements. In collaboration with the U.S. Army, ARL has
developed tools and methods to treat large scale, multi-objective optimization
problems for binary portfolios with dynamic constraints. Methodology and
implementation schema for real-world cases are presented, highlighting the
ability to balance a combinatorial explosion of parameters in complex trades
spaces with the need for timely decisions.
51 - Experimental Designs for Metal Detectors at Large Venues
Christie Nelson, Rutgers University, CCICADA, 4th Floor, CoRE
building, 96 Frelinghuysen Rd, Piscataway, NJ, 08854, United
States of America, Paul Kantor,
John Edman, Vijay Chaudhary
Walk-through metal detectors (WTMDs) are being used increasingly more as a
security measure at large events, particularly at stadiums. Currently, WTMDs are
tested using a robotic tester which tests metallic objects at level heights by sending
them straight through at a constant speed. However, this is not a proper
representation of how a person would enter the WTMD. We will show that the
way a person walks through the WTMD impacts detection rate through our
experimental results.
52 - Leading Metrics for Progress Measurement and Performance
Assessment in Construction Projects
Resulali Orgut, Graduate Research Assistant, North Carolina State
University, Dept. of Civil, Cons. and Env. Eng., 2510 Stinson Dr.,
222 Mann Hall, Raleigh, NC, 27695, United States of America,
, Jin Zhu, Mostafa Batouli, Ali Mostafavi,
Edward Jaselskis
Progress measurement and performance assessment are critical to the
management of construction projects. We perform statistical analyses to highlight
key indicators for successful construction project controls by using data collected
through an online survey from 27 companies. We analyze core metrics commonly
used in the construction industry to develop guidelines for improving their
reliability and recommend practices for interpreting metrics and indicators.
53 - Toward Consistent and Efficient Anomaly Detection in
Hyperspectral Imagery
Todd Paciencia, USAF, AF/A9, Pentagon, Washington D.C.,
United States of America,
This research will showcase development of an approach to making an
unsupervised anomaly detector for Hyperspectral Imagery (HSI). The algorithm is
developed to be robust to different image scenes, different sensors, and noisy
spectral bands. Specifically, fusion of spectral, spatial, and Signal-to-Noise
information is used, in combination with a factor analysis approach, to identify
anomalies. The algorithm is shown to be desirable when compared to current
state-of-the-art techniques.
54 - Comprehensive Performance Evaluation of High-gravity
Carbonation Process in the Steelmaking Industry
Shu-Yuan Pan, National Taiwan University, No 71 Chou-Shan
Rd., Taipei, 10673, Taiwan - ROC,
Pen-chi Chiang
An integrated portfolio of multi-waste treatment (steelmaking slag and
wastewater) combined with CO2 capture in the steelmaking industry can be
achieved by the high-gravity carbonation (i.e., HiGCarb) process using a rotating
packed bed (RPB). In this study, the HiGCarb process was comprehensively
evaluated according to engineering, environmental, and economic (3E) criteria
using a cradle-to-gate life-cycle approach.
55 - Analysis on the Effect of Energy Efficient Technologies in
Industry Sector using Times Model
Sang Yong Park, Senior Researcher, Korea Institute of Energy
Research, Yuseong-gu, Gajeong-ro 152, Daejeon, 305-343, Korea,
Republic of, Jong Chul Hong, Nyunbae Park,
Boyeong Yun
The South Korea established energy policy which is focusing demand
management rather than energy supply to secure a stable energy supply and to
cope with climate change efficiently through 2nd national energy basic plan in
2014. This research developed energy system model which can analyze the effect
of energy efficient technologies on demand management based on TIMES(The
Integrated MARKAL-EFOM System) model and conducted case study on industry
sector in Korea.
56 - The Humility Project: NMF and Other Matrix Factorizations for
Textual Analysis
Tyler Perini, Student, College of Charleston, 66 George St,
Charleston, SC, 29424, United States of America,
Amy Langville
This is one of the first studies on the use of matrix decompositions as the primary
engine for describing and predicting psychological characteristics in a corpus of
language data. With text parsing tools, large written samples are parsed into a
sparse matrix. A low-rank matrix factorization of a weighted version of this
matrix is then used to determine which documents are humble and which are not
humble. Three factorizations, the SVD, NMF, and weighted NMF, are compared.
57 - Distributed Online Modified Greedy Algorithm for Networked
Storage Operation under Uncertainty
Junjie Qin, PhD Candidate, Stanford University,
126 Blackwelder Ct, 1004, Stanford, CA, 94305,
United States of America,
The optimal control of energy storage networks in stochastic environments is an
important open problem. This paper provides an efficient algorithm to solve this
problem with performance guarantees. A sub-optimality bound for the algorithm
is derived which can be minimized by solving a semidefinite program. Distributed
implementation is derived based on alternating method of multipliers. Numerical
examples verify our theoretical performance bounds and demonstrate the
scalability of the algorithm.
58 - Should Retailers Adopt 3d Printing?
Sharareh Rajaei Dehkordi, PhD Candidate, New Jersey Institute
of Technology, University Heights, Newark, NJ, 07102, United
States of America, , Wenbo Cai
Should retailers provide 3D printing services in addition to the traditional off-the-
shelf product? We answer the question by examining retailers’ optimal joint
decisions on his inventory management policy and pricing scheme while
considering consumers’ heterogeneous preferences for self-designed, 3D printed
products vs. off-the-shelf products. We use a multi-server queue with limited
capacity to capture customers’ production selection process and its impact on the
retailer’s expected profit.
59 - Stochastic Network Design with
Decision-dependent Uncertainties
Nathaniel Richmond, University of Iowa, 14 MacLean Hall, Iowa
City, IA, 52242, United States of America,
Little research has been conducted on stochastic network design problems in
which the probability distribution of future random events is affected by prior
actions. However, such problems are ubiquitous and important. For example,
planned reinforcements of a power network directly influence which nodes are
more likely to fail. We present a stochastic two-stage programming model with
decision-dependent uncertainties, discussing solution methods for the associated
unique computational challenges.
60 - Scheduling Part-time Employees with Interactive Optimization
Robert Rose, President, Optimal Decisions LLC, 4 Kirby Lane,
Franklin Park, NJ, 08823, United States of America,
Many employee scheduling problems are very challenging: they are hard
combinatorial optimization problems that contain multiple objectives and ‘soft’
constraints. Such problems do not lend themselves to a pure optimization
approach. A ‘Human Centered’ approach, will be described: an initial schedule is
generated analytically through a series of heuristic procedures, and a final
schedule is produced using an interactive graphics module. A prototype
scheduling program will be demonstrated.
POSTER SESSION