2016 INFORMS Annual Meeting Program

298 / 561

INFORMS Nashville – 2016
298
Cost Minimization Of Government Issued Cell Phones
John Yannotty, Slippery Rock University, 1 Morrow Way,
Slippery Rock, PA, 16057, United States,
Alexander Reid Barclay
Increasing costs associated with cell phone circuits has led the United States
Government to study consolidation of its wireless network in attempt to minimize
annual expense while maximizing efficiency. During consolidation, Private Virtual
Channels (PVCs) are transferred from either low utilized or expensive circuits to
existing circuits with higher utilization and lower annual cost. The consolidation
process is further constrained by region, service package (VCI code), and
utilization capacity per circuit. Through the use of an optimized network annual
expenses are decreased from approximately $11 million to $3.1 million.
Applications Of Text Mining Techniques To Fleet Health And
Maintenance Data
Bingjing Yu, Analyst I, Boeing Vancouver, 1146 Homer Street,
Vancouver, BC, V6B 2X6, Canada, ,
Candice Chan, Gaku Tobinobu, Ehsan Nobakht
Textual data is one of the richest data sources for fleet health and maintenance
analytics. Taking advantage of these information is the key for optimizing airline’s
and Boeing’s business. Due to its large volume and highly unstructured nature,
however, its full potential is rarely leveraged. Advanced Analytics group works on
text analytics projects with airlines in the areas such as reliability, maintenance
program and Boeing customer support. Case studies on how we help businesses
by applying natural language processing, machine learning and visualization
techniques will be presented.
A Cross Comparison Of Proactive And Reactive Mitigation
Policies For Regions Experiencing Repeated Hazards
Chengwei Zhai, University of Michigan, Ann Arbor, 1205 Beal
Ave, Ann Arbor, MI, 48109, United States,
Allison C Reilly, Seth Guikema
Repeated disasters affect various areas differently. We hypothesize that much of
this variation may be explained by regional policies that influence building codes,
constituents understanding of the hazard, and homeowners’ decision to mitigate.
This work builds an agent-based model that integrates a physical hazard model
with a homeowner decision model to understand how various policy options
promote mitigation. A case study using household-level data from 9 counties in
Maryland that experience hurricanes is presented to demonstrate how various
policies might affect the region’s vulnerability.
Second-order Conic Robust Optimization With Application To
Radiation Therapy Treatment Planning Of Breast Cancer
Zengbo Zhang, Beijing Institute of Technology, Beijing Institute of
Technology, Beijing, 10081, China,
Zihao Jiao
We incorporate robust optimization into CVaR to formulate a loss distribution
under uncertainty. We demonstrate an application of our model to the radiation
therapy treatment planning problem of breast cancer. In this therapy process, the
dose distribution dependented on each state is uncertain. Our framework
generalize and develop this type of uncertainty and that the uncertainty set is
ellipsoidal, then the formulation can be re-written as second-order conic
programs. Monte Carlo simulation example are presented to illustrate the
proposed approach. Our results increased dosimetric performance for former
treatment planning methods and improved cardiac sparing.
Study Of Patient Satisfaction Perception Based On Medical
Experience And Health Cognition
Jianjie Zhang, Beijing Institute of Technology, Beijing, China,
, Jinlin LI, Rong Zhang, Jian Xue
This paper examines patient experience and health cognition in outpatient from
nine cities of conducting discrete choice experiments,we identify
discrepant patients in several attributes and the individual-difference about the
health cognition that can explain such discrepancy.For the high degree of the
health cognition patients,medical environment and waiting time affection is not
significant.however,for the low degree of group,both two attributes affect
addition to providing the empirical description in China’s
healthcare market,our study offers patient behavioral optimization suggestions to
improve patient satisfaction perception.
Accelerating The Adoption Of Bundled Payment Reimbursement
Systems: A Data-driven Approach Utilizing Claim Data
Wenchang Zhang, Graduate Assistant, University of Maryland,
7621 Mowatt Ln, College Park, MD, 20742, United States,
Bundled payments as a reimbursement mechanism have the potential to reduce
health care expenditures. One of the crucial components to the implementation
of a bundled payment is to identify procedural homogeneous groups within an
episode of care. We propose a data-driven clustering approach to automatically
detect and explicitly represent homogeneous sub-groups of services for a given
episode of care. We explore the results of clustering two conditions with different
complexities. The automatically extracted clusters with different cost patterns
highlight the payer’s expenditure and provider’s financial risk under bundled
payments.
Integrated Operational And Financial Hedging With
Capacity Reshoring
Lima Zhao, Assistant Professor of Supply Chain Finance, WHU -
Otto Beisheim School of Management, Burgplatz 2, Vallendar,
56179, Germany, Arnd H Huchzermeier
We consider a multinational corporations (MNC) that adopts capacity reshoring,
production switching, and financial hedging to manage supply—demand
mismatches and currency risk. Adopting mean-conditional value-at-risk (CVaR)
optimization, we decompose operations and finance: Operational flexibility
maximizes expected profit subject to CVaR constraint, while financial hedging
minimizes CVaR subject to minimum expected profit. We show that: Operational
flexibility and financial hedging can be complements, and they are substitutes in
risk reduction. Collaboration and coordination between operations and finance is
crucial in minimizing the substitution effects.
Forecasting Equity Risk Using Firm Risk Disclosures
Xiaodi Zhu, Stevens Institute of Technology, Hoboken, NJ, 07030,
United States, Steve Yang, Somayeh Moazeni
Corporate risk disclosures as part of U.S. public companies’ financial reports
provides information about companies’ potential risks. This study analyzes risk
types revealed in these risk disclosures and examines their potential predictive
power over stock returns. Using 16,110 risk disclosures from 2011 to 2015, we
apply Sentence Latent Dirichlet Allocation model to infer risk types and propose a
novel algorithm to match new factors with existing risk types which generates
90% correct matches. Our findings provide evidence that the companies’ self-
disclosed risk factors have significant impacts on subsequent stock return volatility
which can be used to predict potential stock change.
Integrating Anode Recycle In A Real-time Solid Oxide Fuel Cell
Model With Pressure Loss
Amelia McIlvenna, University of Tennessee, 550 Lost Tree Ln,
Knoxville, TN, 37934, United States,
Anode recycle helps solve one of fuel cell technology’s major challenges:
maximizing fuel utilization without destroying the fuel cell. Anode recycle was
added to an existing real-time Solid Oxide Fuel Cell (SOFC) model to investigate
effects within the fuel cell. SOFC’s are sensitive to small parameter changes. An
increase in fuel mass flow was found to impact pressure losses in the fuel
manifold. The updated model allowed for a pipe sensitivity analysis to optimize
design of the fuel manifold. This work allows for improvements in SOFC design,
and opens avenues to future transient analysis.
Information Network Design And Optimization With Social Media
In Disaster Management
Bairong Wang, Industrial & System Engineering, University at
Bufflao, SUNY, 150 longmeadow rd apt 2, buffalo, NY, 14226,
United States, Jun Zhuang
Social media becomes a popular information sharing platform during disasters.
However, rumors also spread due to the problems that no information gate exists
on social media to ensure information accuracy and security. This study analyzes
information behavior of both common and official users, and rumor distribution
patterns during Hurricane Sandy on Twitter. Our results show that nearly 90
percent of impressions are generated from followers, while one re-tweet can
contribute 5,688 impressions on average. Based on results from rumor pattern
analysis, we design information spreading and sharing model to debunk rumors
during disasters to improve information coverage and efficiency.
Flexible High Density Puzzle Storage Network
Ehsan Shirazi, West Virginia University, Morgantown, WV,
A puzzle-based storage system has been introduced to replenish and retrieve
items from the top and bottom of a highly dense storage system. Each cell of the
puzzle storage is considered as a grid. Each grid is able to store an item and or to
move items in the south direction. We describe a high density storage system
that can retrieve and replenish items from all sides. A puzzle storage with this
characteristic is a lot more flexible than what has been introduced before. We
will illustrate how this puzzle storage scheme affects replenish and retrieve time
based on different network policies, distributions of replenishing and retrieving
items, and number of free spaces on the puzzle network
Fluid Genetic Algorithm (FGA)
Roy Jafari Marandi, Mississippi State University, Mississippi State,
MS, , Brian Smith
Genetic Algorithm (GA) has been one of the most popular Optimization meth-
ods. A review of the literature shows extensive research attempting to adapt and
develop the standard GA. Nevertheless, the essence of GA which consists of dif-
ferent concepts rarely has been the focus of recent researchers. In this paper
method, Fluid Genetic Algorithm (FGA), some of these concepts are changed,
removed, and furthermore, new concepts are introduced. The performance of GA
and FGA are compared through seven benchmark functions. FGA not only
shows a better success rate and better convergence control, but it can be applied
to a wider range of problems including multi-objective and multi-level problems.
POSTER SESSION