INFORMS Nashville – 2016
174
5 - Procurement Strategy In Decentralized Supply Chains Under
Supply Disruptions And Uncertain Demand
Jie Tan, Huazhong University of Science and Technology,
Wuhan, China,
jietan@hust.edu.cn, Haijun Wang
This paper considers a decentralized supply chain consisting of one retailer and
one unreliable supplier under single-period setting. The retailer (buyer) has a
chance of complete supply disruption and faces uncertain demand
simultaneously. She (buyer) offers a contract (q, w), and upon it the supplier then
chooses the optimal reliability level and pays for the corresponding cost of
technology investment, to maximize his expected profit. Also the interaction
between supplier’s reliability and production cost has been considered. We finally
conduct a numerical analysis with the purpose of providing several managerial
suggestions for order size and purchase price as well as reliability level.
MB79
Legends G- Omni
Health Care, Modeling VI
Contributed Session
Chair: David J Robb, Professor of Operations and Supply Chain
Managemen, University of Auckland, Graduate School of Management,
The University of Auckland Business School, Auckland, 1142,
New Zealand,
d.robb@auckland.ac.nz1 - A Model For Diabetes Clinical Pathway Scheduling
Hossein Badri, PhD Student, Wayne State University, 4185 4th
Street, Manufacturing Building, Detroit, MI, 48202, United States,
fq2529@wayne.edu,Kai Yang
Clinical Pathway is a very efficient method to improve patient care, to manage
clinical risks, and to improve resource efficiency. In this research we develop a
model for the scheduling of the diabetes clinical pathway. The proposed model is
tested using a real data set and the performance of the proposed model is
analyzed.
2 - Modeling The Screening Of Post-traumatic Stress Disorder:
A Criticism Of The Current Dichotomous Categorization
Of Patients
Navid Ghaffarzadegan, Virginia Tech, 1145 Perry Street, 231
Durham Hall, Blacksburg, VA, 24061, United States,
navidg@vt.edu, Mohammad S. Jalali, Alireza Ebrahimvandi,
Richard C Larson
Post-traumatic stress disorder (PTSD) stands out as a major mental illness and
screening policies have played a critical role in mitigating the effects of PTSD;
however, little agreement exists on the optimal cutoff value—a threshold above
which screening scores should be considered as PTSD positive. We develop a
simulation model of PTSD screening which includes social forces that inhibit
accurate screening. Our analysis shows that the results of long-term optimal
policies are different than their myopic short-term results. With the presence of
public stigma, current dichotomous screening policies are not much effective to
minimize the number of false positive and false negative.
3 - Robust Multi Product Network Design For Blood Chain A Priority
Queuing System
Mohammad Abdollahi, PhD Candidate, Wayne State University,
4815 Fourth Street, Room 1067, Detroit, MI, 48202, United States,
fq6861@wayne.edu,Kai Yang
This study tries to investigate best network configuration in constructing a smooth
and cost effective network considering all the modification corresponding to blood
supply. Some highly important blood specific considerations such as blood type
priority and lateral transshipment and perishability is considered in the proposed
model. To cope with the existent uncertainty related to the blood processing and
traveling times, a prioritized M/M/C and M/M/C models are considered for
laboratories and blood banks, respectively. Moreover, an interval robust
counterpart is proposed to deal with the uncertainty in the model corresponding
to demand and cost and etc.
5 - Association Between Accident Rates And Daylight Saving
Time Transitions
David J Robb, Professor of Operations and Supply Chain
Managemen, University of Auckland, Graduate School of
Management, The University of Auckland Business School,
Auckland, 1142, New Zealand,
d.robb@auckland.ac.nz,
Thomas P Barnes
A third of nations have adopted Daylight Saving Time, presumably hoping that
benefits exceed costs. Studies have found changes in accident rates associated
with DST. Using data from 21 million New Zealand accidents during 2003-2015,
we model accident rates as a function of various date-based predictors including
days before/after the start and end of DST, day of week, and month of year. This
is the first study to consider multiple accident categories (work, home, falls, sport,
& road), and the first in the southern hemisphere. We find evidence of accident
rates impacted in the week prior to the start and end of DST, i.e.,anticipation
effects. Our results have implications for implementation and policy.
MB86
GIbson Board Room-Omni
Marketing II
Contributed Session
1 - Why Do Web Retailers And P&G Use “Postage Stamp” Pricing?
Phillip J Lederer, Professor, University of Rochester,
Simon School of Bus. Admin., Rochester, NY, 14627,
United States,
Lederer@simon.rochester.eduFirst, this talk explains why some web retailers/mail order firms use zero or
postage stamp type delivery charges but others set distance charges. A game
theoretic model demonstrates the equilibrium decisions of a web retailer
competing against reactive local retailers. I can show why Lands’ End and web
furniture stores set flat prices but other specialty retailers charge by distance.
Second, unrecognized in the literature is that P&G and other consumer products
firms set location independent delivery charges to retailers. I present an economic
model explaining this pattern.
2 - Marketing Strategies And Empirical Comparisons Between
Agricultural Producer Community Structures
Brian A. Bourquard, Purdue University, 403 W State Street,
West Lafayette, IN, 47907, United States,
bbourqua@purdue.edu,
Allan W. Gray
We study agricultural community structures and how influencers relate to
information channel preferences. We use 1,300 agricultural producers’ ratings of
information-source preferences and outside influencers from a nationally
delivered survey to determine community structures with sociodemographic
characteristics. We develop an empirical comparison of the producer
communities’ purchasing and management behaviors. We also develop a
methodology to predict the most effective marketing channels for input suppliers
that accounts for the changing characteristics of agricultural producers.
3 - Modeling The Exposure Effect Of Customized Promotions On
Shopping Frequency: A Quasi-experimental Analysis
Russell Zaretzki, Associate Professor, University of Tennessee, 246
Stokely Management Center, Knoxville, TN, 37996, United States,
rzaretzk@utk.edu,Amil Williamson, Mary Leitnaker
Modern customer relationship management frequently involves the use of
customized direct-to-consumer promotions. How well do such promotions work?
We focus on the impact promotions have on the frequency of visits and analyze
an unbalanced quasi-experimental crossover design that provides several varieties
of customized and non-customized coupons to shoppers. Differences in trip
frequency among consumers during periods with and without coupons are
modeled. Carryover effects of promotion, decay rates of these effects, and positive
feedback in the coupon allocation mechanism are also analyzed.
MB94
5th Avenue Lobby-MCC
Technology Tutorial: Optimization Direct/IBM
Analytics
Technology Tutorial
1 - Optimization Direct: Recent Advancements In Linear And
Mixed Programing Give us The Capability To Solve Larger
Optimization Problems
Dr. Robert Ashford, Optimization Direct, Inc.,
202 Parkway, Harrington Park, NJ, 07640, United States,
rwa@optimizationdirect.com, Alkis Vazacopoulos
CPLEX Optimization Studio solves large-scale optimization problems and enables
better business decisions and resulting financial benefits in areas such as supply
chain management, operations, healthcare, retail, transportation, logistics and
asset management. In this tutorial using CPLEX Optimization Studio we will
discuss modeling practices, case studies and demonstrate good practices for
solving Hard Optimization Problems. We will also discuss recent CPLEX
performance improvements and recently added features.
2 - IBM Analytics - 11:45am-12:30pm
Xavier Nodet, IBM Decision Optimization,
xavier.nodet@fr.ibm.comIn this tutorial, you will learn about the new CPLEX and CP Optimizer engine
features in the upcoming IBM CPLEX Optimization Studio release, including how
to use the new features, how they can help you during the development of your
model, and how they can speed up the resolution of your models.
MB79