Informs 2015

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INFORMS Philadelphia – 2015
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4 - Optimal Integration of Kidney Exchange Programs with Antibody
Reduction Therapy
Naoru Koizumi, Assoc Professor, GMU, 3351 N Fairfax Dr,
Arlington, VA, 22203, United States of America,
, Monica Gentili, Keith Melancon
Kidney paired donation (KPD) allows incompatible pairs to exchange kidneys
with other incompatible pairs. However, evidence suggests there stills exist
barriers to KPD utilization, especially among difficult-to-match transplant
candidates and positive actual or virtual crossmatches. Using mathematical
models, we investigate how to optimally integrate antibody reduction therapy in
KPD to increase successful living-donor kidney transplants among difficult to
match candidates.
TC38
38-Room 415, Marriott
Queueing Models II
Contributed Session
Chair: Benjamin Legros, Ecole Centrale Paris,
Grande Voie des Vignes, Chatenay-Malabry, 92290, France
1 - A New Look at Markov Processes of G/M/1-type
Jason Joyner, PhD Student, Clemson University, Clemson
University O-110 Martin Hall, Box 340975, Clemson, SC, 29634,
United States of America,
We present a new method for deriving the stationary distribution of an ergodic
Markov process of G/M/1-type in continuous-time. Our method derives and
makes use of a new representation for each element of the rate matrices
contained in the stationary distribution. This method can also be modified to
derive the Laplace transform of each transition function associated with Markov
processes of G/M/1-type.
2 - Exact Simulation of Non-Stationary Reflect Brownian Motion
Mohammad Mousavi, Assistant Professor, University of
Pittsburgh, 1048 Benedum Hall, Pittsburgh, PA, 15212,
United States of America,
We discuss the challenges that arise in the planning simulations of systems with
time dependent arrival and service rates. Estimating how far back in time a
simulation must be initialized is an essential problem in planning simulations. We
propound using reflected Brownian motion (RBM) with time-dependent drift and
volatility as a guide for estimating this initialization time. We develop the first
exact simulation method for RBM with time-dependent drift and volatility.
3 - Traffic Volume and Travel Time Variability under
Random Interruptions
Marcelo Figueroa, PhD Student, Rutgers University, 93 Marvin
Lane, Piscataway, NJ, 08854, United States of America,
, Melike Baykal-görsoy
We show the advantages of modeling the number of vehicles on a freeway
corridor as an M/M/Infinity queueing system subject to random service
degradation in order to obtain variability estimates for congestion and travel time
delay. We make use of the analytical stationary distribution of the number of
customers thus avoiding the use of traffic simulation. We validate our approach
by using traffic count data, and relevant weather events and traffic incidents as
causes of service degradation.
4 - Admission Control Policies for Multi-Channel Call Centers:
Should We Delay the Call Rejection?
Benjamin Legros, Ecole Centrale Paris, Grande Voie des Vignes,
Chatenay Malabry, France,
We study strategies of rejection in call centers with inbound and outbound calls.
The firm is looking for the best possible trade-off between the inbound and
outbound calls performance. Rejection at arrivals, so-called rejection “a priori”
and rejection after experimenting some wait, so-called rejection “a posteriori” are
considered. Our main finding is that rejection a posteriori provides a better
performance in terms of waiting time for served customers than a rejection a
priori.
TC39
39-Room 100, CC
Distribution Channel Management
Cluster: Operations/Marketing Interface
Invited Session
Chair: Xiaowei Xu, Associate Professor, Rutgers Business School-New
Brunswick, 100 Rockafeller Rd., Piscataway, NJ, 08854,
United States of America,
1 - Co-Advertising and Channel Power in Distribution Channels
Xiaowei Xu, Associate Professor, Rutgers Business School-New
Brunswick, 100 Rockafeller Rd., Piscataway, NJ, 08854,
United States of America,
We study a manufacturer-retailer channel, in which the manufacturer decides
wholesale price as the channel leader and the retailer decides the retail price as
the channel follower. Besides the retail price, customer demand is influenced by
non-price marketing instruments, such as advertising. We identify business
scenarios, under which the manufacturer should not participate any co-
advertising campaign even if it’s free, since doing so will increase the channel
power of the retailer.
2 - Effects of Channel Intermediaries on Quality-price Competition
S. Chan Choi, Rutgers Business School-New Brunswick,
100 Rockafeller Road, Piscataway, NJ, 08854,
United States of America,
We show that when products are vertically differentiated, the optimal channel
structure depends on whether a company is a high- or low-quality producer.
Either manufacturer benefits by channel integration while the competitor uses an
intermediary, but this effect is stronger for the low-quality manufacturer. If an
intermediary is to be used, the low-quality manufacturer has more incentive to
use an exclusive dealer. But the total channel profit is higher with a common
retailer.
3 - Fairness in Supply Chain Contracts with Sales Efforts
Ju Myung Song, Rutgers Business School, Room 430, 1
Washington Park, Newark, NJ, 07102, United States of America,
Fairness is an important incentive for supply chain contract design. I consider a
setting where a retailer chooses both retail price and sale effort to maximize
profit, and analyze how fairness in a supply chain affects supplier and retailer’s
behaviors and their expected profits.
4 - A Longitudinal Analysis of Supplier Working Relations in
Component Markets
Sengun Yeniyurt, Associate Professor, Rutgers Business School,
100 Rockafeller Rd, Piscataway, NJ, 08854, United States of
America, , Steven Carnovale,
John W. Henke
This study utilizes a longitudinal dataset that includes information regarding
supplier working relations and sourcing transactions in the North American
Automotive industry. Econometric models are developed and estimated utilizing
information provided by first tier component suppliers to major automotive
manufacturers. The estimates reveal the interplay between past interactions,
future expectations, and working relations and their effect on transactional
decisions in component markets.
TC40
40- Room 101, CC
Marketing I
Contributed Session
Chair: Robert Bordley, Expert Systems Engr Professional,
Booz-Allen-Hamilton, 525 Choice Court, Troy, MI, 48085,
United States of America,
1 - How Cultural Difference Influences Consumer Behavior in
Hypermarket Industry
Mei-Wen Chao, Assistant Professor, Kao Yuan University, 1821
Zhongshan Rd., Luzhu Dist., Kaohsiung, 82151, Taiwan - ROC,
No empirical research exists to discuss the issues of culture and consumer
behavior in the hypermarket industry using the territory of Taiwan and the U.S.
as the units of comparison. This paper attempted to explore grocery consumers’
inner world and how their shopping perceptions vary between Taiwanese and
American cultures. The contexts of interviews are given and additional findings
are also put forward. Salient results and practical issues are discussed in detail in
this paper.
TC40