2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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3 - Project Management Inventory And Due Date Study In Push And
Pull Contracts
Xingxing Chen, Washington University- St. Louis, Campus Box
1156, One Brookings Drive, Saint Louis, MO, 63130, United
States, , Panos Kouvelis, Yu Xia
This research studies the inventory management and project cycle in project
management. We investigate a supply chain with one manufacturer and one
supplier. The manufacturer replenishes a critical part from the supplier to meet
the stochastic demand during the project cycle time. Both the manufacturer and
the supplier target at optimizing their profits respectively. The games between the
manufacturer and the supplier are studied under different contract formats: push,
pull and push-pull contracts. Optimal inventory policy and project cycle time are
found indifferent cases.
4 - Product Recalls In The Consumer Products Industry: Evidence Of
A Silver Lining
Carolyn Queenan, Assistant Professor, University of
South Carolina, Darla Moore School of Business,
1014 Greene St, Columbia, SC, 29208, United States,
Adams Steven, Yan Dong,
Manus Rungtusanatham
Research shows us that recalls generally harm firm performance and intuition
confirms this. We, however, investigate if recalls universally harm firm
performance. After analyzing seven years of consumer products recall data and
corresponding firm performance, we find certain circumstances mitigate some of
the potential negative impacts of recalls on firm performance. Results suggest new
ways to consider recalls and ways to mitigate their effects.
5 - Demand And Supply Planning In Configure-to-order
Supply Chains
Turgut Aykin, Managing Member, Aykin Associates,
136 Buckmanville Rd., New Hope, PA, 18938, United States,
Configure-to-order (CTO) products involve variable bills of materials (BOM),
which may vary from one order to another in SKU’s and quantities required, and
customers who are sensitive to the promised delivery times. In this presentation,
we review the approaches available for CTO supply chains and present a new
approach to model variable BOM’s, as well as link supply levels to the targeted
delivery performance, forecasts, forecast accuracy and lead times.
MC79
Legends G- Omni
Health Care, Modeling VII
Contributed Session
Chair: Jacqueline Griffin, Northeastern University, 360 Huntington
Ave., 334 Snell Engineering Center, Boston, MA, 2115, United States,
1 - Optimizing Chemoradiotherapy To Target Multi-Site Metastatic
Disease And Tumor Growth
Hamidreza Badri, PhD Student, University of Minnesota, IsyE
University of Minnesota, 111 Church Street S.E., Minneapolis,
MN, 55455, United States, , Kevin Leder,
Ehsan Salari
We introduce a model to obtain optimal drug and radiation protocols in a
chemoradiotherapy scheduling problem with the objective of minimizing
metastatic cancer cell populations at multiple sites while maintaining a minimum
level of damage to the primary tumor site. We derive closed-form expressions for
an optimal chemotherapy fractionation regimen. A dynamic programming
framework is used to determine the optimal radiotherapy fractionation regimen.
We quantify the trade-off between the new and traditional objectives of
minimizing the metastatic population size and maximizing the tumor control
probability, respectively, for a cervical cancer case.
2 - Integrated Physician And Clinic Scheduling Problem In an
Ambulatory Cancer Treatment Polyclinic
Mohammad Tohidi, PhD Candidate, Concordia University, 7400
Sherbrooke West, Apt 218, Montreal, QC, H4B 1R8, Canada,
, Masoumeh Kazemi Zanjani,
Ivan Contreras
In this presentation, we present an extension of physician scheduling problems
which arises in hospitals with polyclinic centers. In these centers, a patient can be
assessed by multiple clinics in a single visit. The clinics share available resources,
and interdisciplinary clinics have to be scheduled together on simultaneous shifts.
This work is inspired by a case study in a hospital in Montreal. We integrate clinic
session scheduling with physician scheduling and formulate the problem as a
multi-objective mathematical program. For some problem instances that the exact
method is not able to find the optimal solution, we present an iterated variable
neighborhood search mathheuristic.
3 - Does Specialization Of Hospitals Increase Operational Efficiency?
Saied Samiedaluie, Postdoctoral Fellow, The University of British
Columbia, Vancouver, BC, Canada, ,
Vedat Verter
We study a health care network configuration problem considering two scenarios:
specialization versus generalization. We characterize the situations in which each
scenario is preferred in terms of accessibility to care. Our results show that the
decision of system configuration for a multi-hospital network requires careful
consideration of patient mix among arrivals, relative length of stay of patients,
and distribution of patient load between hospitals.
5 - Multi Attribute Balanced Scheduling In An Integrated
Outpatient Clinic
Jacqueline Griffin, Northeastern University, 360 Huntington Ave.,
334 Snell Engineering Center, Boston, MA, 02115, United States,
, Vahab Vahdatzad, Sarah Burns
Using a discrete event simulation modelling approach, we examine new policies
for the design and operation of a new integrated orthopedic, rheumatology, and
radiology healthcare facility. With interdependent flows and shared resources
between these units, the importance of balancing workload across the facility, and
strategies for accomplishing this are examined. Specifically, we quantify the
impact of various patient and provider scheduling policies, both independently
and simultaneously, to identify the cost effectiveness of implementation.
MC86
GIbson Board Room-Omni
Marketing III
Contributed Session
Chair: Nithya Shankar, Rensselaer Polytechnic Institute, Troy, NY,
1 - Nonlinear Customer Satisfaction Index Model
Nobuhiko Terui, Professor, Tohoku University, Faculty of
Economics, Kawauchi Aoba-Ku, Sendai, 980-8576, Japan,
Xing Aijing, PK Kannan
We extend the relationship proposed by the customer satisfaction index (CSI)
model to include a nonlinear functional form between satisfaction and loyalty. We
examine different functional forms on how satisfaction affects loyalty and propose
a model that reflects intrinsic characteristics of nonlinear effects, such as
saturation-attainable limit of effectiveness, non-constant marginal return, and
asymmetric response between satisfied and dissatisfied customers, in a
parsimonious way. The model is estimated via a hierarchical Bayes model to
accommodate structural heterogeneity of companies surveyed in the analysis by
proposing an efficient multi-move sampler.
2 - When Better Product Quality Imply More Advertising
Regis Chenavaz, KEDGE Business School, Marseille Cedex 9,
France. , Sajjad Jasimuddin
This article examines when does better quality lead to more advertising. It mod-
els the advertising-quality relationship in an optimal control setting. This article
proposes a rule for the advertising-quality relationship generating both positive
and negative relationships: Advertising increases with quality if the demand
effects (quality and advertising effects on demand) outweigh the supply effect
(quality effect on cost); alternatively, advertising decreases with quality if the
demand effects are lower than the supply effect. Consequently, despite consumer
awareness of quality, to maximize profit the firm may advertise a product of
lower quality more.
3 - Intimacy And Loyalty In Parasocial Relationships
Lenita Davis, Professor, University of Arkansas-Little Rock, 1200
Brookwood Drive, Apt 463, Little Rock, AR, 72202, United States,
, Elizabeth Micahel
This research seeks to identify how negative information affects the loyalty and
commitment of fans engaged in a parasocial relationship that is established or
strengthened through social media. This research will use multiple methods
including social media ethnography, qualitative comparative analysis of celebrity
and fan social media and empirical analysis. This research will be conducted in
the context of the presidential election, social media data will be collected on the
front runners’ social media in the Presidential campaign during the primaries up
to a week post their respective national conventions.
4 - Managerial Overconfidence And Brand Capital
Nithya Shankar, Assistant Professor of Marketing, State University
of New York at Plattsburgh, Plattsburgh, NY, United States,
Staceyann Sharpe, Bill Francis
A growing area of research in marketing focuses on the impact of firm-level
factors on brand capital. Largely lacking in the marketing literature is the impact
of managerial behavioral traits on firms’ brand capital. Our research investigates
this relationship by examining the impact of managerial overconfidence on brand
capital. Preliminary results indicate a negative relationship between managerial
overconfidence and brand capital. Further analysis will evaluate the impact of
managerial overconfidence on change in brand capital, as well as the impact of
industry factors on this relationship.
MC86