2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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3 - Awesome A Women In Stem Student And Faculty Organization
For Small Universities And Colleges
Stephany Coffman-Wolph, Assistant Professor, West Virginia
University Institute of Technology, 105 Silver Maple Ridge, #5,
Charleston, WV, 25305, United States,
AWESOME (Association for Women Engineers, Scientists, Or Mathematicians
Empowerment) was started 2 years ago at WVU Tech to bring together female
students and faculty for a variety of activities including: networking, outreach,
speaker events, and professional development. AWESOME was designed
specifically for smaller universities/colleges that may be unable to support several
field-specific female organizations. This presentation describes the structure of the
organization, previous and future activities, and the challenges/advantages of an
inclusive and diverse STEM organization.
4 - Managing Transport Concession To Senor Citizens
Narasimhan Ravichandran, Indian Institute of Management-
Ahmadabad, Wing 2 D, Vastrapur, Ahmedabad, 380015, India,
We present by a case study the challenges in administering a transport concession
scheme in India for senor citizens and means to deal with them .The case can be
used in a MBA class to illustrate the use of formal methods in structuring a
managerial context.The teaching approach is documented as apart of the case
study.Some general abstraction as how subsidy can be handled is also discussed.
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Music Row 1- Omni
DEA
Contributed Session
Chair: Hamed Kianmehr, PhD Student, Binghamton University,
142 1/2 Beethoven, Binghamton, NY, 13905, United States,
1 - A Non-discretionary Dea Methodology For Competitive
Environment Analysis In Retailing
Yeming Gong, Em Lyon Business School, Building B, Office 1018,
23 Avenue Guy De Collongue, Ecully, 69134, France,
, Jiawen Liu
Competitive environment analysis is critical to global operations strategy research.
We develop a non—discretionary two-stage DEA model, allowing supply chain
capability as inter-temporal effects in efficiency measuring, to assess the corporate
performance in retailing industry and verify the influence of the environment.
Using first-hand and second-hand data of more than 100 organizations from 32
countries and regions in retailing industry, we provide a new method using non—
discretionary DEA integrated with econometric analysis in competitive
environment analysis for retailing supply chain strategy.
2 - Hospital Performance Evaluations In New York State Using Data
Envelopment Analysis
Kelly Ann Stickle, Stony Brook University, 120 Sound Beach
Blvd., Sound Beach, NY, 11789, United States,
Thomas Raymond Sexton,
Christine Pitocco
With the healthcare system focused on improving quality, measuring hospital
performance is essential in order to maximize efficiency and to implement
improvements system wide. We use DEA to evaluate hospitals in New York State.
Inputs include number of deaths, number of readmissions, and average length of
stay. The sole output is the number of survivors. Site characteristics take into
account the expected length of stay and total number of patients.
3 - Assessing China’s Healthcare Service Efficiency Using Improved
Dynamic Data Envelopment Analysis
Tao Du, Beijing Institute of Technology, Beijing, China,
We propose a DtSBM model, which has improved the existing Dynamic DEA
model DSBM and more accordant with the practical situation. The model is
applied for measuring the healthcare service efficiencies of China’s 31 provinces
through panel data from 2008 to 2013. By measuring the DMUs’ term efficiencies
and overall efficiencies, we proves the china’s new medical and health system
reform, which was acted in 2009, has obvious effect. This research also results
that the efficiency scores of eastern region is highest, western region is second,
and the central region is lowest. According to the analysis of the inefficiency
DMUs, we also figures out the improved orientations and objectives.
4 - The Use Of Spatial Traffic Data For Traffic Signal Control At
Signalized Intersections
Pei-Shan Hsieh, Univerisy of Arizona, Tucson, AZ, 85721, United
States, , Wei-Hua Lin, Zeng Wang
In this study, we consider the use of spatial data for traffic signal control at
signalized intersections, replacing the conventional data sources, those generated
from the existing stationary traffic surveillance systems. Time-dependent location
coordinates obtained from individual vehicles are processed into information key
to traffic control at signalized intersections for determining the optimal green time
allocation and cycle length.
5 - A Dynamic Model of Antibiotic Prescribing for Acute Respiratory
Tract Infection
Hamed Kianmehr, PhD Student, Binghamton University,
142 1/2 Beethoven, Binghamton, NY, 13905, United States,
The emergence of antimicrobial resistant diseases has reawakened dangers of a
pre-antibiotic era. The issue is largely tied to the decreased production of new
classes of antibiotics and antibiotic misuse in agriculture, etc. Compounding this
issue are changing guidelines for killing these evolving organisms as well as the
need for greater vaccine compliance. This imminent risk highlights past and
fomenting structural failures contributing to nosocomial and community
associated antibiotic resistant infections. This paper seeks to evaluate the
physician decision making process as a focal site for reversing antibiotic resistance
trends.
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Music Row 3- Omni
Inventory Management VX
Contributed Session
1 - A Synthesis And Generalization Of Structural Results In Inventory
Management: Generalized Convexity Properties
Zhe Liu, Columbia University, 511 W 112th Street, Apt 24C,
New York, NY, 10025, United States, ,
Awi Federgruen, Lijian Lu
Since the initiation of stochastic inventory theory, 65 years ago, a multitude of
papers have addressed problems with three principal complications: (a) fixed in
addition to variable order costs; (b) orders are subject to capacity limits and (c)
possibly bilateral adjustments of inventories. Different papers cover a specific
subset thereof, under specific restrictions. This paper addresses the fully general
model, characterizing the structure of an optimal policy and identifying an
associated solution method. We thus provide a unifying structure that synthesizes
and generalizes a seemingly disparate set of structural results.
2 - Incorporating Parcel Transportation Costs Into Lot
Sizing Decisions
Matthew J Drake, Associate Professor of Supply Chain
Management, Duquesne University, School of Business,
925 Rockwell Hall, Pittsburgh, PA, 15282, United States,
Adam Wenger
For the past century, researchers have created and studied variants of the EOQ
model. One consideration that has been left relatively untouched has been the
inclusion of parcel transportation costs into the lot sizing decision. Examination of
the parcel rate tables for UPS and FedEx Ground shows that the rates are not
linear with respect to the shipment weight. We have developed linear
approximations for these rates and have examined the performance of this
approximate model compared to the cost of the global optimal order quantity. We
have also extended the model to consider the new dimensional pricing based on
the volume of the shipment that parcel carriers have introduced in recent years.
3 - Monitoring Inventory Control Forecasting System Under
Non-normal Input Noise Distributions
Hoda Sabeti, West Virginia University, 390 Gilmore St.,
Morgantown, WV, 26505, United States, ,
Omar Ahmed Al-Shebeeb, Majid Jaridi
In quantitative forecasting models and tracking signal methods, the input noise is
often assumed to be normally and independently distributed. The goal in this
paper is to study the distribution of tracking signal and build new monitoring
schemes when the input noise distribution is not necessarily normal. To perform
the analysis, we simulate a demand process in Wilson inventory model, using
several input noise distributions. The effectiveness of the proposed tracking signal
model is evaluated and compared to existing methods using an inventory cost
model.
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