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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.nz

1 - 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.edu

First, 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.com

In 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