Informs 2015

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INFORMS Philadelphia – 2015
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37 - Rating Aggregation in Multi-dimensional Rating Systems:
How do Reviewers Form Overall Ratings?
Dominik Gutt, PhD Candidate, University of Paderborn,
Warburger Str. 100, Paderborn, 33098, Germany,
Dennis Kundisch
A recent strain of literature on online product reviews has focused in particular
on multi-dimensional product reviews. Multi-dimensional product reviews
usually allow the reviewer to rate a product first, based on one overall rating, and
second, based on a set of several sub-dimensions. Mostly, overall ratings do not
equal e.g. the calculated mean of the sub-dimensions. Our research will shed light
on the question, which heuristics reviewers use to form an overall rating.
38 - Cyclic Timetabling and Platforming of Mixed Train Types on a
Bidirectional Railway Line
Mojtaba Heydar, University of Newcastle, University Drive,
Callaghan, Australia,
We present a mixed integer program for cyclic train timetabling and platforming
problem. It is assumed that there are different types of trains moving on a single,
bidirectional railway line. Two objectivesótimetable cycle length and total journey
time of all train typesóare considered. Constrains include infrastructure
characteristics, safety regulations, and operational rules. Heuristics and exact
methods are combined with math model to solve large problem instances are
solved and discussed.
39 - The Impact of Platform Update Interval on Platform Diffusion in a
Cooperative Mobile Ecosystem
Yoo S. Hong, Professor, Seoul National University, 1 Gwanak-ro,
Gwanak-gu, Seoul, 08826, Korea, Republic of, ,
Gyesik Oh
Periodic platform upgrading is one of the effective strategies for potential
participants as well as existing stakeholders. However, the diffusion of an updated
platform is ineffective in a cooperative mobile ecosystem where a manufacturer
modifies a platform released as open-source software on its smartphones. This
paper models the effectiveness of platform diffusion with respect to the platform
update interval in consideration of the manufacturer’s decision mechanism.
40 - Operational Health Information Exchange Platform
Kang-yu Hsu, PhD Student, Purdue University, 610 Purdue Mall,
West Lafayette, IN, 47907, United States of America,
, Poching Delaurentis, Yuehwern Yih,
Rich Zink
Health Information Exchange (HIE) has been focusing on utilizing patient
electronic health records to improve service quality and patient safety. The
exploitation of HIE, however, can go beyond patient records. This study aims to
build an infusion drug limit library database and embedded analytical tools as a
pilot for the operational HIE platform that may house and utilize other types of
data with similar usage and functionality.
41 - Design and Pricing of Crop Insurance Based on NDVI
Jing Huang, Hohai University, No.8 Focheng Road, Nanjing,
China, , Anna Shi, Huimin Wang,
Jinping Tong
The crop index-insurance is a possible approach to solve the dilemmas in
traditional crop insurance. In this study, the crop insurance contract is designed
based on remote sensed Normalized Difference Vegetation Index (NDVI). Then
the crop yield estimation models in different expectations is proposed. Lastly, the
pure rate of premium is presented under different triggers using nonparametric
kernel density model. The paddy rice in three cities in Yunnan Province, China
are chosen as an example.
42 - An Infinite Time Horizon Portfolio Optimization Model
with Delays
Azmat Hussain, PhD Student, North Carolina State University,
Raleigh, NC, 27606, United States of America,
We consider a portfolio optimization problem over an infinite time horizon. The
problem is formulated as a stochastic control problem and the state is governed by
a stochastic process with delay. The goal is to choose investment and consumption
controls such that the total expected discounted utility is maximized. Under some
conditions, the corresponding HJB equations for exponential, log and HARA
utility functions are solved and verification results and the optimal control are
also established.
43 - Optimization of the Order-up-to and Reorder Levels for Each
Item in the Forward Area of Warehouse
Takashi Irohara, Professor, Sophia University, 7-1 Kioi-cho,
Chiyodaku, Tokyo, 1028554, Japan,
We propose an optimization procedure to solve a forward reserve allocation
problem and determine the order-up-to and reorder levels for each item in the
forward area. In the target warehouse or distribution center, the forward area
stores items in a unit of piece for efficient order picking and the reserve area
stores items in a unit of case. There is a tradeoff between replenishment
frequency and inventory space in the forward area. We show the effectiveness of
the proposed method.
44 - Net Energy Analysis of Wind/Solar Generation and Electric
Vehicles: Are They as Green as They Seem?
Tongdan Jin, Texas State University, 601 University Drive,
San Marcos, TX, United States of America, ,
Joseph Duke
Wind and solar energy are widely hailed as “free” and “clean” energy. Similarly,
electric vehicles (EV) that run on batteries are considered to be much greener
than their gasoline counterparts. But is it possible that the environmental benefits
from new energy and transport technologies may be exaggerated? The goal of this
research is to perform an analysis of the lifecycle CO2 emissions, from wind
turbines, solar photovoltaic panels, and EV, to weigh together the cost and
benefits.
45 - Design and Modelling of Crowdsource Enabled Relay System for
Urban Parcel Delivery
Nabin Kafle, Research Assistant, UIC, 842 W Taylor St, Chicago,
IL, 60616, United States of America, Bo Zou,
Jane Lin
We propose a new relay-based intermodal system for urban parcel delivery
enabled by crowdsourcing technology. A mathematical model is formulated
which (i) identifies relay locations and their visiting order by the delivery truck;
and (ii) uses local green modes in place of the delivery truck for last-leg
pickup/delivery from the chosen relay points, where crowdsources are selected
through auction. We develop a heuristic algorithm to solve the model.
46 - Automatic Sentiment Words Extraction from Online Reviews
for Product Comparison
Eunji Kim, Data Mining Lab., 39-339, Seoul Natl’ Univ.,
Gwanak-ro, Gwanak-gu, Seoul, Korea, Republic of,
, Sungzoon Cho
Online customer reviews are potentially a great source for improving the quality
of products or services. However, it is technically tough to automate it because the
review data is vast and unstructured. We propose a text mining approach that can
handle a context dependent sentiment of a word in reviews. A word is associated
with different sentiment values for different product categories. This enables us to
extract pros and cons of a product when compared to similar products.
47 - A Cooperative Game Theory Approach to Highway
Cost Allocation
Saurav Kumar Dubey, PhD Student Department of Industrial and
Systems Engineering, University of Tennessee at Knoxville, 1615
Laurel Avenue, Box-203, Knoxville, TN, 37916, United States of
America, Alberto Garcia-Diaz
Traditional methods of allocating highway cost among vehicle classes include
proportional and incremental procedures. Two non-traditional game-theoretic
concepts of Least Core and Discrete Aumann-Shapley Value will be shown to be
effective in integrating Traffic Capacity and Pavement Thickness requirements.
The Nucleolus solution concept will be implemented to strengthen the core
stability of Highway Cost Allocation game and reinforce the principles of fairness
and rationality.
48 - Incorporating the Impact of Product Reviews on Future
Propensity to Purchase
Matthew Lanham, Doctoral Candidate, Virginia Tech, Dept. of BIT
(0235), Blacksburg, VA, 24061, United States of America,
, Ralph Badinelli
This study investigates the potential impact that publically accessible product
reviews might have on future sales and propensity to purchase for a national
retailer and provides a means to incorporate this knowledge posteriori to already
derived demand forecasts. The study is motivated by the emergence of Big Data
Analytics (BDA) in the retail industry to improve consumer experience, products,
and services.
49 - Active Fund Performance: A Full-distributional Analysis
Yongjae Lee, Korea Advanced Institution of Science and
Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea,
Republic of, , William T. Ziemba,
Woo Chang Kim
Performance evaluation of active funds has been eagerly studied by many
scholars in finance. They have compared the performance distribution of active
funds to relevant benchmarks. Most of these studies were naÔve comparisons of a
full distribution to a small number of points that do not reveal distributional
characteristics. Therefore, we analyze the Sharpe ratio distributions of active
funds in comparison with analytically derived Sharpe ratio distributions of all
feasible portfolios.
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