Informs 2015

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INFORMS Philadelphia – 2015
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3 - Managing Access to Primary Care Facilities
Sina Faridimehr, Wayne State University, 4815 Fourth St.,
Detroit, MI, United States of America,
Ratna Babu Chinnam
In this research, we propose an MDP model to improve timely access for patients
while maintaining clinic capacity utilization in primary care facilities. The model
leverages correlations between scheduling practice, panel size management and
access performance. Results from testing the models at VA facilities are promising.
4 - Comparing Emergency Room Performances Before and After
Initiating Full Capacity Protocol
Suman Mallik, University of Kansas, 1300 Sunnyside Ave,
Lawrence, KS, 66045, United States of America, ,
Mazhar Arikan, Lu Wang
Using a data from a large teaching hospital we compare the emergency
department operating performances before after initiation of the full capacity
protocol (a set of rules designed to alleviate crowding.
5 - Why are Medical Device Connectivity Standards so Elusive?
John Zaleski, Chief Informatics Officer, Nuvon, Inc.,
4801 S. Broad Street, Suite 120, Philadelphia, PA, 19112,
United States of America,
Medical devices still remain highly proprietary in terms of interoperability. Health
Level Seven (HL7), as a healthcare information standard, only works when
medical devices can export data in this common format. Gaps remain between
the proprietary, manufacturer-specific language of many devices and the HL7
messaging format. Here we explore approaches for standardizing proprietary
equipment around HL7 and related messaging languages and how lack of
interoperability impacts patient care.
WB38
38-Room 415, Marriott
Bayesian Approach II
Contributed Session
Chair: Ray Fung, Self-Employed, 10 Soden Street, #16, Cambridge,
MA, 02139, United States of America,
1 - Enterprise Personalized Learning At Scale
Ashish Jagmohan, IBM Research, 1101 Kitchawan Road,
Yorktown Heights, United States of America,
, Wesley Gifford, Anshul Sheopuri,
Yi-min Chee, Noi Sukaviriya, John Ambrose, Laura Rexford,
Sue Rodeman
We address the problem of facilitating skill development in enterprises by devising
personalized learning paths. Traditional methods of manual curation are incapable
of scaling to meet the needs of growing user bases and content-libraries. The
proposed system uses big-data cognitive technology to reason about large-scale
user behavior and content characteristics. We will discuss algorithmic data mining
and Bayesian techniques to identify learning sequences best suited for each user’s
goals.
2 - Identifying Key Rule-based Subgroups for Driver Or Graphical
Models via Modified Decision Tree Logic
Michael Egner, Senior Vice President, Ipsos, 10567 Jefferson
Blvd., Culver City, CA, 90232, United States of America,
, Andrew Christianson, Richard Timpone
Modelers often wish to understand the role of moderator variables. In some cases,
such as graphical models, the typical solution (adding interaction terms) can fall
short. Building on previous research modifying decision trees to split on the
strength of bivariate relationships, this study explores modifying tree logic to
maximize differences in association matrices, such that researchers can obtain
practical, rule-based splits for generating maximally-different drivers or graphical
models.
3 - Causal vs. Correlational Analysis using Bayesian Networks
Ray Fung, Self-Employed, 10 Soden Street, #16, Cambridge, MA,
02139, United States of America,
I show how Bayesian Networks can be utilized not only to differentiate
correlation and causation in an intuitive manner but also how to illuminate
difficult-to-understand scenarios such as Simpson’s Paradox, the Ecological
Fallacy, and the Low Birthweight Paradox. I also show how concepts such as
instrumental variables, LATE, overidentification tests, natural experiments, ITT,
block randomization, mediation tests, colliders, and measurement error can be
easily illustrated.
WB39
39-Room 100, CC
Channel Management and Pricing
Cluster: Operations/Marketing Interface
Invited Session
Chair: Shuya Yin, University of California, Irvine, Merage School of
Business, Irvine, United States of America,
Co-Chair: Saibal Ray, Professor, McGill University, 1001 Sherbrooke
Street West, Montreal, Canada,
1 - Strategic Value of Bogo Offers under Competition
Sreekumar Bhaskaran,
Saibal Ray, Haresh Gurnani
In the grocery and retail industries, firms routinely offer BOGO (buy one get one
off) offers in which a consumer is able to obtain lower price on larger quantity
purchases. We examine the a firm’s pricing decision for such BOGO bundles
under competition. The effect of consumer heterogeneity and market
characteristics on this decision is also considered.
2 - Signing Up for Guaranteed Buyback Programs?
Perspectives of Manufacturers and Customers
Shuya Yin, University of California, Irvine, Merage School of
Business, Irvine, United States of America, ,
Saibal Ray, Houcai Shen, Wenju Niu, Mehmet Gumus
Guaranteed buyback programs offer customers protection against price drops and
encourage them to upgrade their products. This, in turn, motivates manufacturers
to improve and innovate their products. These insurance contracts are often
offered by third-parties. Our goal is to understand how such programs impact the
preferences of the manufacturer and the customers.
3 - Analyzing the Entry of Big-box Retailers in an Emerging Market
Aditya Jain, Baruch College, New York City, New York,
United States of America, , Saibal Ray,
Mehmet Gumus
We consider the impact of the entry of a big-box retailer (BBR) in a market
dominated by small, mom-and-pop retailers. The small retailers are characterized
by local coverage of the market, whereas BBR provides services valued by all
customers. Since both types of retailers obtain supplies from a common
manufacturer, BBR’s entry affects the supply conditions. Our work thus highlights
roles of direct competition as well as indirect supply side effect on small retailers
and customers.
4 - Channel Contract Preferences under Dynamic Market Conditions
Long Gao, Associate Professor of Operations and Supply Chain
Mgt, University of California Riverside, 900 University Ave,
Riverside, CA, 92507, United States of America,
Downstream retailers often have private information about consumer market
conditions that may evolve over time. We study the long-term channel
contracting problem under market fluctuations. We characterize the optimal
contract, and show that incorporating market evolution is critical for contract
design and execution.
WB40
40- Room 101, CC
Operations Management/Marketing Interface I
Contributed Session
Chair: Alejandro Lamas, Assistant Professor, NEOMA Business School,
1 Rue du MarÈchal Juin, Mont Saint Aignan Cedex, 76825, France,
1 - Competitive Time-Locked Free Trial Strategy
Hai-ping Wang, Xiëan Jiaotong University, School of
Management, Xi’an, China,
Jun Lin, Shu-lin Liu
Offering time-locked free trials has been a common practice in the software
industry to reduce consumers’ uncertainty about product quality. This paper
develops a game-theoretic model to determine the optimal time-locked free trial
strategy in a duopoly market. Allowing consumers to have very different, and
even opposite experiences after trial, this paper analyzes the impact of consumer
learning heterogeneity on the equilibrium outcome. Several new and important
insights are provided.
WB40