Informs 2015

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INFORMS Philadelphia – 2015
412
WB35
35-Room 412, Marriott
Urban Planning
Contributed Session
Chair: Richard Zapata, Universidad del Desarrollo, Avda Sanhueza
1750, Concepcion, Ch, 4040418, Chile,
1 - Parking Equilibrium Model with Urban Truck Tour Deliveries
Joseph Chow, Assistant Professor, Ryerson University,
350 Victoria Street, MON 407, Toronto, ON, M5B 2K3, Canada,
Ahmed Amer
Arnott and Inci’s (2006) parking equilibrium model is extended to include urban
truck tour deliveries and corresponding variables: double-parking stock, delivery
duration, number of stops on tour, tour length, and fleet size. Effects of double-
parking on traffic flow are estimated using AIMSUN microsimulation. The model
is applied to downtown Toronto to provide policy recommendations including
pricing, scheduling, geometric design, and zoning.
2 - Urban Freight Distribution with Batch Arrivals
Marco Schutten, Associate Professor, University of Twente,
P.O. Box 217, Enschede, 7500 AE, Netherlands,
Martijn Mes, Wouter Van Heeswijk
We study a dispatch problem with uncontrolled batch arrivals of LTL orders at an
urban consolidation center. The specific order properties may be highly varying in
city logistics. Directly distributing an incoming batch may yield high costs.
Instead, the hub operator may decide to wait for incoming batches that allow for
more efficient distribution. We show that an ADP approach closely approximates
the exact values for small instances, and outperforms two benchmark policies for
larger instances.
3 - Evaluating Overtopping Risks of Reservoir Systems Based on
Rare Event Simulation
Qianli Deng, University of Maryland, College Park, 0147H
Engineering Lab Building, College Park, MD, 20742,
United States of America, Gregory B. Baecher
Overtopping risks of reservoir systems, in most cases, have very small probabilities
of occurring. Estimation with crude Monte-Carlo simulation requires a
prohibitively large numbers of trials. Otherwise, estimation would not be
accurate. Computational expense served as one of the prohibitive reasons that
simulation has not been widely applied to reservoir operation. A rare event
simulation-based approach is thus proposed in this study to address the
overtopping risks of reservoir systems.
4 - Effect of Infrastructure Investment and Freight Accessibility on
Gross Domestic Product
Ruben Yie Pinedo, Full Time Professor, Universidad del Norte,
Km5 via Puerto Colombia, Barranquilla, AT, Colombia,
Maria Saltarin, Carlos Paternina,
Julian Arellana
This paper analyzes the effect of infrastructure investment and freight accessibility
on Gross Domestic Product (GDP) by using a non-linear regression approach. We
use accessibility measurements to test improvements in transportation costs as
road networks are improved. Our results show that GDP significantly benefits
from (i) higher investments in infrastructure and better accessibility, and (ii) from
multimodal transportation compared to pure road transportation.
5 - Integrating Land Use and Urban Water Management through
Mathematical Models
Richard Zapata, Universidad del Desarrollo, Avda Sanhueza 1750,
Concepcion, CH, 4040418, Chile, ,
Cristian Palma
The urban land use planning and the water resources management are not
always integrated. This lack of integration usually translates into over cost for
users and even no chance for companies to provide the service in some areas. In
this talk, we describe how we estimate the water demand by land use, and how
we integrate this demand with the water supply and the land use planning
process.
WB36
36-Room 413, Marriott
Humanitarian Applications IV
Sponsor: Public Sector OR
Sponsored Session
Chair: Tina Wakolbinger, Professor, Vienna University of Economics
and Business (WU), Welthandelsplatz 1, Vienna, 1020, Austria,
1 - Data Driven Resource Allocation Decisions: Fema’s Disaster
Recovery Centers
Julia Moline, FEMA, FEMA, Washington, DC, United States of
America, Erica Gralla,
Jarrod Goentzel
We create a data-driven decision process for Federal Emergency Management
Agency’s (FEMA) Disaster Recovery Centers (DRCs) program. We develop
thresholds and optimization models to dynamically locate, size, and staff DRCs.
We apply the process to recent disaster response scenarios and show that FEMA
could have reduced cost significantly while providing sufficient capacity.
2 - Humanitarian Logistics: Pre-Positioning of Relief Items in Istanbul
Serhan Duran, Associate Professor, Middle East Technical
University, ODTU Endustri Muhendisligi Bolumu, Ankara, 06800,
Turkey, , Sinem Konu, Ertan Yakici
In this study, we investigate pre-positioning of relief items while considering the
transportation vulnerability effect of a potential earthquake in Istanbul and
suggest disaster response facility locations accordingly, utilizing the data and
information about Istanbul from the JICA Report. The model considers the effects
of combined transportation mean vulnerability, warehouse building vulnerability,
demand intensity and distance traveled based on warehouse location decision.
3 - Outsourcing Humanitarian Logistics Activities to Commercial
Logistics Providers
Ioanna Falagara Sigala, Research Fellow, Vienna University of
Economics and Business (WU), Welthandelsplatz 1, Vienna, 1020,
Austria, Tina Wakolbinger
This study explores the potential of outsourcing humanitarian logistics activities
to commercial logistics providers. We follow a qualitative approach by
interviewing both private and humanitarian organizations to identify the current
status and to determine the potential of future cooperation between those two
sectors. We integrate both Transaction Cost and Resource-Based View theories to
suggest propositions leading to the construction of a framework for outsourcing in
the humanitarian sector.
WB37
37-Room 414, Marriott
Modeling and Optimization of Health Care Processes
Contributed Session
Chair: Yifeng Yu, PhD Student, Penn State University, 445 Waupelani
Dr, Apt A14, State College, PA, 16801, United States of America,
1 - Monitoring Hip-Surgery Quality by Risk-Adjusted Control Charts
Yifeng Yu, PhD Student, Penn State University, 445 Waupelani
Dr, Apt. A14, State College, PA, 16801, United States of America,
, Harriet Nembhard
Risk-adjusted statistical process control charts are used for real-time monitoring of
the readmission rate after hip surgery. An alarm occurs if sufficient evidence
shows that there is a change in readmission rate. A logistic regression model is
incorporated to determine the pre-surgery risk of each patient. The difference in
pre-surgery risk is revealed in the risk-adjusted control statistics, thus changes in
the hip-surgery quality can be detected.
2 - Improving Patient Care using Integrated Health Monitoring
Systems for Diabetes and Hypertension
Saligrama Agnihothri, Professor, Binghamton University,
Binghamton University, Binghatmon, NY, 13902,
United States of America, Anu Banerjee
Patient care can be improved using smart technology in home health monitoring
systems. We implement a smart mobile application integrating 1200 patients and
multiple providers to improve communication, change treatment plans, and
reduce office visits. We provide preliminary data analysis for the vital signs and
identify stakeholder’s impact.
WB35