2016 INFORMS Annual Meeting Program

493 / 561

INFORMS Nashville – 2016
493
4 - A Structural Estimation Model Based On Socioeconomic
Variables To Analyze The Evolution Of Retail Channels
Jan C Fransoo, Eindhoven University of Technology, School of
Industrial Engineering, P.O. Box 513 Pav F4, Eindhoven,
NL-5600MB, Netherlands, ,
Christopher Mejía-Argueta
Despite the prediction of many researchers that nanostores in the traditional retail
channel would disappear, they continue to serve most of the world’s population.
We develop a structural estimation model to analyze current and future choice of
clients among supermarkets, convenience stores and nanostores considering
socioeconomic variables. Using data from two Latin American cities, we show that
channel switching behavior is explained primarily by population density, income
level, and the growth of stores. Furthermore, there are important reasons why
nanostores will continue to retain their position as the largest retailing channel in
big cities with large income differences.
WE29
202A-MCC
Empirical Research in Sustainable Operations
Sponsored: Manufacturing & Service Oper Mgmt,
Sustainable Operations
Sponsored Session
Chair: Erin Cassandra McKie, University of South Carolina,
1014 Greene Street, Columbia, SC, 29208, United States,
2 - Sector, Industry, Firm, And Year Influence On Environmental
Management Practice Adoption
Rick Hardcopf, University of Minnesota, 321 19th Avenue South,
Minneapolis, MN, 55455, United States, ,
Rachna Shah, Ujjal Kumar Mukherjee
Firms take deliberate actions to reduce the impact of their operations, or supply
chain, on the natural environment. While adoption of these practices has
increased steadily over the years, firms within a common sector or industry vary
greatly in their propensity to adopt. In this study, we use a novel secondary
dataset to evaluate the relative influence of time, firm attributes, industry
membership and sector participation in explaining heterogeneity in adoption
across firms. We also evaluate several individual firm and industry characteristics
to determine which specific aspects of the firm and industry are responsible for
the variance explanation provided by the macro categories.
3 - Promoting Consumer Recycling: Effects Of EPR Legislation And
Regional Traits
Erin Cassandra McKie, PhD Candidate, University of South
Carolina, 1014 Greene Street, Columbia, SC, 29212, United States,
, Mark Ferguson, Michael Galbreth
We will present results from consumer surveys about e-waste legislation from
U.S. states that have different versions of e-waste legislation as well as from states
with no e-waste legislation. Our findings indicate differences in customer
awareness of e-waste policies and how they dispose of end-of-use electronic
products.
WE30
202B-MCC
Systemic Issues in Healthcare and
Humanitarian Logsitics
Sponsored: Manufacturing & Service Oper Mgmt,
Healthcare Operations
Sponsored Session
Chair: Jonathan Helm, Indiana University, 1309 E. 10th St,
Bloomington, IN, 47401, United States,
Co-Chair: Alex Mills, Indiana University - Bloomington, Bloomington,
IN, United States,
1 - Inventory Dispersion, Stock Mobilizing Speed And Fortification In
Humanitarian Operations
Shabnam Rezapoor, PhD Candidate, University of Oklahoma,
Norman, OK, United States, ,
Reza Zanjiranifarahani, Alfonso Pedraza-Martinez
We study the impact of joint decisions of locating relief stockpiles and identifying
amount of pre-positioned inventory on humanitarian logistics. We explore how
pre-positioning inventory quantity can be reduced in relief networks. By using
analytical and numerical methods we investigate the effect of inventory
dispersion, stock mobilizing speed, and stock fortification on amount of the
required inventory. Due to uncertainty in demand location, a scenario-based
modeling approach based on graph and network concepts is used. Then, the
findings are tested on a case problem in Florida including 18 regions facing
hurricane and the related insights and observations are extracted.
2 - Surge Capacity Deployment In Hospitals: Preparation, Response,
Recovery, And Mitigation
Alex Mills, Indiana University, Bloomington, IN, United States,
, Yu Wang
Major hospitals often experience demand surges, requiring a rapid increase in
capacity. While practitioners deploy several different actions to respond to surges,
mitigative actions are often ignored. We show that both response and mitigation
can be improved using ideas found in Operations Management, and we suggest
specific operational improvements based on hospital characteristics.
3 - Malaria Treatment Distribution In Developing World Health
Systems And Application To Malawi
Jonathan Helm, Indiana Universtiy,
Efficient medication distribution is key in the fight against malaria in developing
countries with severe resource constraints. We propose a new transshipment
methodology by integrating a tactical 2-stage stochastic program with an optimal
operational policy derived from a MDP model. We design a decomposition
strategy that enables a tractable solution for the entire country, including
government 290 centers. Our approach is shown to be robust to challenges of
developing countries, including slow paper-based inventory review, uncertain
transportation infrastructure, the need for equitable distribution, and seasonal
and correlated demand associated with malaria transmission dynamics.
4 - Healthcare Inventory Management In The Presence Of Supply
Disruption And A Reliable Alternative Supply Channel
Erhun Kundakcioglu, Ozyegin University, Faculty of Engineering,
Istanbul, Turkey,
In this study, we investigate the inventory review policy for a healthcare facility
to minimize the impact of inevitable drug shortages when an alternative reliable
supplier is present. A continuous-time stochastic process is used to calculate
optimal inventory levels for the primary (unreliable) and secondary (reliable but
costly) suppliers. We present optimal strategies for tractable instances, provide
insights through supervised learning tools, and highlight how these results can be
generalized. In particular, we provide business rules for inventory managers that
would simultaneously minimize average inventory and secondary supplier usage.
WE31
202C-MCC
The On-Demand Economy: Matching, Capacity-
Planning, and Incentives
Sponsored: Manufacturing & Service Oper Mgmt,
Service Operations
Sponsored Session
Chair: Amy Ward, University of Southern California,
Marshall School of Business, Los Angeles, CA, 90089, United States,
1 - Near-optimal Matching For Real-time Ridesharing
Erhun Ozkan, University of Southern California, Los Angeles, CA,
United States, Amy R Ward
Participants in real-time ridesharing services such as Uber, Lyft, etc. arrive
stochastically over time and must be matched. One common heuristic myopically
matches an arriving customer to the closest available driver. However, that
heuristic does not account for differences in arrival rates across locations. We
propose a linear programming based heuristic that does account for such
differences, and prove it is asymptotically optimal in ridesharing systems with
high volumes of demand, under the condition that drivers are in some sense
“scarce”.
2 - Product Support Forums: Customers As Partners In
The Service Delivery
Konstantinos Stouras, INSEAD,
Serguei Netessine, Karan Girotra
Online product support forums where customers can post complaints and
questions, or report issues about a product or service of a firm abound. A large
number of companies choose to crowdsource their product and service support
back to their customers, employing a few dedicated service operators. We
characterize the equilibrium behavior of such a novel business model for service
and compare it with a call center model.
WE31