INFORMS Philadelphia – 2015
83
SB51
51-Room 106B, CC
Retail Operations
Sponsor: Manufacturing & Service Operations Management
Sponsored Session
Chair: Amy Pan, Assistant Professor, University of Florida, Dept. of
ISOM, Warrington College of Business Administr, Gainesville, FL,
32608, United States of America,
amy.pan@warrington.ufl.eduCo-Chair: Dorothee Honhon, Associate Professor, University of Texas at
Dallas, 800 W. Campbell Road, Richardson, TX, 75080, United States of
America,
Dorothee.Honhon@utdallas.edu1 - Do MOOCs Work in Retail? Improving Store Execution through
Online Learning
Santiago Gallino, Tuck School of Business, 100 Tuck Hall,
Hanover, NH, United States of America,
santiago.gallino@tuck.dartmouth.edu, Youran Fu,
Serguei Netessine
Conversion of retail store traffic into sales depends heavily on store execution.
Although a critical piece, performance improvement of sales associates through
training has received relatively scant research effort. We focus on a very specific
type of training: online learning. Available to date analysis of MOOCs indicates
poor engagement of the participants and questionable outcomes. Our analysis
shows that online training has a strong positive impact on employee sales
performance.
2 - Backroom Effect in Shelf Space Optimization
Zumbul Atan, Assistant Professor, TU/e, Eindhoven, Eindhoven,
Netherlands,
Z.Atan@tue.nl, Nesim K. Erkip, Tim Huh
Most retailers use backrooms as extra storage space. Backrooms are necessary
when inventories do not fit to the available shelf space. We study a continuous
review (r,q) policy with limited shelf capacity. We determine the optimal policy
parameters and the optimal shelf space and quanitufy the benefits of considering
the existence of backrooms when making replenishment decisions.
3 - Probabilistic Selling for Vertically Differentiated Products
Quan Zheng, Student, University of Florida, Department of
ISOM, Gainesville, FL, 32611, United States of America,
quanzheng@ufl.edu, Janice E. Carrillo, Amy Pan
We investigate the probabilistic selling strategy for vertically differentiated
products. Both deterministic and stochastic demand models are explored. The
results show that capacity constraints and demand uncertainty play important
roles. The probabilistic products could be offered alone in the deterministic
demand model while they are offered alone or with the low quality products in
the stochastic demand model.
4 - The Impact of Consumer Search Cost on Assortment Planning
and Pricing
Ruxian Wang, Johns Hopkins University, 100 International Dr,
Baltimore, MD, 21202, United States of America,
ruxian.wang@jhu.edu, Ozge Sahin
We incorporate search cost into consumer choice: a consumer first forms her
consideration set; she evaluates and chooses the highest-utility product. We
propose the k-quasi attractiveness-ordered assortment and show that it is
arbitrarily near-optimal. Assortment problems are generally NP-hard, so we
develop efficient exact and approximation algorithms. We propose a new pricing
strategy and investigate its optimality: the quasi-same-price policy with a same
price for all products except one.
SB52
52-Room 107A, CC
Uncertainty and Performance of Service Processes
Sponsor: Service Science
Sponsored Session
Chair: Genady Grabarnik, St. John’s University, 8000 Utopia Parkway,
Queens, NY, 11439, United States of America,
grabarng@stjohns.edu1 - Palm Khinchine Theorem and Performance Evaluation
under Uncertainty
Genady Grabarnik, St. John’s University, 8000 Utopia Parkway,
Queens, NY, 11439, United States of America,
grabarng@stjohns.edu, Yefim Haim Michlin, Larisa Shwartz
We refine estimates for Pam Khinchine theorem, which allows us to tighten
boundaries for comparison performance evaluation in sequential testing
2 - Recommending Resolutions for Monitoring Tickets in Automated
Service Management
Larisa Shwartz,
lshwart@us.ibm.com, Genady Grabarnik
We study the problem of automated resolution recommendation for monitoring
tickets. We analyzed monitoring tickets from a production service infrastructure
and identified a vast number of repeated resolutions. We improve the similarity
measure in comparison to prior work by utilizing both the description and
resolution information from historical tickets via a topic-level feature extraction
using the LDA model. Furthermore effective similarity measure is learned using
metric learning.
3 - Comparison Performance Evaluation for Services Systems
Yefim Haim Michlin, Senior Research Fellow, Technion - Israel
Institute of Technology, Faculty of IEM, Technion City, Haifa,
32000, Israel,
yefim@technion.ac.il, Ofer Shaham,
Genady Grabarnik
Enterprises spend significant effort on introduction of innovations. We suggest a
novel method based on Wald’s sequential test idea to identify performance gain
by running comparison test. The advantage in comparison to the existing tests
suggested in textbooks and standards are: more strict limitation on maximum
number of trials, wider range of failure ratio, variable risks and wider
discrimination ratio. Suggested methodology is oriented on usage by product
designers and quality engineers.
SB53
53-Room 107B, CC
From Behavioral/Experimental Economics to
Behavioral Operations: Opportunities and Challenges
Sponsor: Behavioral Operations Management
Sponsored Session
Chair: Tony Haitao Cui, Associate Professor, University of Minnesota,
Carlson School of Management, Minneapolis, MN, 55455,
United States of America,
tcui@umn.edu1 - Non-equilibrium Models in Games
Teck-Hua Ho, William Halford Jr. Family Professor of Marketing,
University of California, Berkeley, Berkeley, CA, 94720-1900,
United States of America,
hoteck@haas.berkeley.eduThe notion of equilibrium is central to economic analysis. Standard equilibrium
analysis relies on strong assumptions of human cognitive ability, which often do
not match actual behavior. Based on this, we explain why management science
should embrace non-equilibrium models. We describe recent research on them
and discuss the promise that they hold based on their ability to predict better than
equilibrium analysis, behavior observed in more than 100 laboratory experiments
and field settings.
2 - Economics and Operations: Similarities and Differences
Rachel Croson, Dean, College of Business, University of Texas at
Arlington, Arlington, TX, 76019-0377, United States of America,
croson@uta.eduThis presentation will identify some of the similarities and differences between
the underlying fields of economics and operations, with a goal of highlighting
how experimental and behavioral research should be differentially applied to
each field.
3 - The Effect of Bargaining on Testing Operations
Management Models
Elena Katok, Ashbel Smith Professor of Supply Chain
Management, University of Texas at Dallas, 800 W. Campbell Rd.,
Dallas, TX, 75080, United States of America,
ekatok@utdallas.eduOM models that involve strategic interactions are usually silent about the
bargaining process. The outcome of laboratory tests of these models, however, can
critically depend on how the bargaining is implemented. I will discuss the
challenges and opportunities of incorporating bargaining in laboratory tests.
SB53