2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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2 - Developing A Non Invasive Tool To Diagnose Diabetic Retinopathy
Saeed Piri, PhD Student, Oklahoma State University, School of
Industrial Engineering & Management, Engineering North,
Stillwater, OK, 74078, United States, ,
Tieming Liu, Dursun Delen
Diabetic retinopathy is the leading cause of vision loss in the US. In this study a
non-invasive tool is developed to detect this disease. The demographic and lab
data of more than 1.4 million diabetics has been analyzed and four sets of
predictive models have been developed. The first set encompasses the models that
have been developed using lab and demographic data. In the second set,
comorbidity data was included in addition to basic data. Third set consists of
models that are built using the oversampled data by applying SMOTE method.
Fourth set includes ensemble models that have been developed using the outputs
of different single predictive models. The accuracy of the best model is close to
90%.
3 - Call For Bids To Improve Matching Efficiency: Evidence From
Online Labor Markets
Xue Guo, Doctoral Student, Temple University, Fox School of
Business, 1801 North Broad Street, Philadelphia, PA, 19122,
United States, , Jing Gong, Pavlou Paul
In online labor markets, Call for Bids (CFB) plays an important role in affecting
the efficiency and quality of labor matches. In this study, we analyze the text of
CFBs and examine five attributes associated with the clarity of CFBs that may
affect the contracting success rate and post-project satisfaction—codifiability,
uncertainty, complexity, flexibility and monitoring. We propose to use deep
learning algorithms to analyze large unstructured textual data and test our model
using archival data from one of the largest online labor platforms.
4 - An Empirical Investigation Of Online Marketplace Users
Yuanyuan Shen, Stanford University, Stanford, CA, 94305,
United States, , Haim Mendelson,
Kenneth Moon
We develop a simple Markovian model of user behavior which incorporates user
learning and social value on an online marketplace. We test the model and
analyze additional tradeoffs and market characteristic. We use data from Kiva, a
non-profit lending marketplace. Consistent with the predictions of our model, we
find evidence of user engagement begetting greater engagement. Meanwhile, an
engaged user’s tenure is negatively correlated with his lending rate while the
correlation turns to be positive when the user has no loans. We also identify
significant differences in the behaviors of user acquired directly and those
acquired virally.
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201A-MCC
Innovations in Retail Operations
Sponsored: Manufacturing & Service Oper Mgmt
Sponsored Session
Chair: Nicole DeHoratius, University of Chicago,
58071 S Woodlawn Ave., Chicago, IL, 60637, United States,
1 - Retail Inventory Liquidation Value: Local Economic Factors
Nathan Craig, OSU,
The liquidation value of a firm’s assets is an input to numerous models. Our
research characterizes liquidation values in practice and identifies factors that
affect liquidation value. In the context of retail inventories, we analyze data from
multiple sources to identify economic features of a store’s local market that
significantly impact inventory liquidation value.
2 - Here Comes The Sun: Measuring And Exploiting Weather Shocks
In Fashion Retailing
Victor Martinez-de-Albeniz, Professor, IESE Business School,
Barcelona, 08034, Spain, Abdel Belkaid
We model and empirically study the impact of weather variables on the
operations of a large apparel retailer. Specifically, we focus on traffic store and the
conversion of traffic into product category sales. We find that rain increases traffic
but decreases conversion in shopping mall stores, while the opposite is true in
street stores. Lower temperatures increase traffic and increase conversion of sales
of the “appropriate” categories (summer vs. winter). Finally, we demonstrate how
to exploit weather variations to improve profits.
3 - Optimizing Prepacks To Ship Products In Retail Supply Chains
Stephen A Smith, Santa Clara University, Omis Lucas Hall 216h,
500 El Camino Real, Santa Clara, CA, 95053-0382, United States,
, Naren Agrawal
We present recent results from the analysis of shipping and inventory policies in
retail supply chains when multiple pre-packs are permissible. We compute exact
solutions to a dynamic stochastic programming formulation and derive insights
based on numerical analysis of a sample case study.
4 - Package Size And Pricing Decisions With A Bulk Sale Option
Ismail Kirci, University at Texas at Dallas,
We investigate the package size and pricing decisions of a retailer selling a
perishable product that can be offered in packages or in a container that allows
consumers to buy as much as they want (Bulk Sale). We show how the existence
of a bulk sale option affects the optimal package size, the optimal price and
product waste at the consumer level.
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202A-MCC
Mechanisms to Enhance the Value of Used and
Returned Products
Sponsored: Manufacturing & Service Oper Mgmt,
Sustainable Operations
Sponsored Session
Chair: Eda Kemahlioglu-Ziya, Poole College of Management at North
Carolina State University, 2801 Founders Dr, Raleigh, NC, 27695,
United States,
1 - Impact Of Recycling Standards On E-waste Recovery In The
Presence Of Secondary Market
Gokce Esenduran, Ohio State University,
Yen-Ting (Daniel) Lin, Wenli Xiao, Minyue Lin
There are two voluntary certification programs for e-waste recyclers: e-Stewards
and R2. While both provide assurance of proper e-waste handling, e-Stewards is
much stricter than R2, resulting in a higher processing cost. With the aim of
identifying when a recycler should adopt e-Stewards versus R2, we model the
competition between two recovery channels; each consisting of a recycler and a
collector who can sell collected e-waste either in the secondary market or to its
recycler. We find that devoid of competition, a recycler always chooses R2;
whereas under competition, recyclers may choose either one. We also examine
how secondary market and scale economies affect recyclers’ decisions.
2 - Design For Reusability And Product Reuse Under
Radical Innovation
Michael Galbreth, University of South Carolina,
Many industries, including consumer electronics and telecommunications
equipment, are characterized by short product lifecycles, constant technological
innovations, rapid product introductions, and fast obsolescence. Firms in such
industries need to make frequent design changes to incorporate innovations, and
the effort to keep up with the rate of technological change often leaves little room
for the consideration of product reuse. In this paper, we study the design for
reusability and product reuse decisions in the presence of both a known rate of
incremental innovations and a stochastic rate of radical innovations over time.
3 - Extracting Maximum Value From Consumer Returns
Cerag Pince, Kuhne Logistics University, ,
Mark Ferguson, Beril L Toktay
Consumer returns constitute a substantial fraction of sales in the consumer
electronics industry and often cannot be re-sold as new due to litigation concerns.
Therefore, identifying the best joint pricing and disposition strategy is a
challenging but important decision for consumer electronics OEMs. This paper
investigates how an OEM should price new and refurbished products while
allocating consumer returns between remarketing and warranty coverage options
over the product’s short life cycle.
4 - Truth-inducing Mechanism For Medical Surplus
Products Allocation
Can Zhang, Georgia Institute of Technology, Atlanta, GA, 30309,
United States, Atalay Atasu, Turgay Ayer,
Beril L Toktay
We study a product allocation problem faced by a Medical Surplus Recovery
Organization (MSRO) that recovers and manages reusable medical products to
fulfill the needs of under-served healthcare facilities in developing countries. We
focus on designing truthful mechanisms to elicit the recipients’ needs
information, and we prove that the optimal truthful mechanism has a very simple
structure. We further show that our mechanism significantly improves the
MSRO’s total value provision compared with the current practice and previously
proposed recipient-driven models.
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