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INFORMS Nashville – 2016
165
MB50
212-MCC
MIF Rising Young Scholars Award
Sponsored: Minority Issues
Sponsored Session
Chair: Julie Ivy, North Carolina State University, 111 Lampe Drive,
Campus Box 7906, Raleigh, NC, 27695, United States,
jsivy@ncsu.edu1 - MIF Rising Young Scholars Award
Julie Ivy, North Carolina State University,
jsivy@ncsu.eduThis session will feature research presentations by the MIF Rising Young Scholar
Award recipients(s). The names of the presenters will be determined after the
application evaluation has been completed.
MB51
213-MCC
Community-Based Operations Research I
Sponsored: Public Sector OR
Sponsored Session
Chair: Michael P Johnson, Associate Professor, University of
Massachusett - Boston, McCormack Hall, 3rd Floor, Room 428A,
100 Morrissey Blvd., Boston, MA, 02125, United States,
Michael.Johnson@umb.edu1 - Pro Bono Analytics - What Nonprofits Can Learn From Operations
Researchers, And Vice Versa
David Hunt, Oliver Wyman,
david.hunt@oliverwyman.comMichael P Johnson
Pro Bono Analytics is an INFORMS program that matches volunteers with
nonprofit organizations working in underserved areas and for underserved
populations. The nonprofits tend to be small and without the resources to utilize
traditional operations research and advanced analytical methods. This talk will
focus on how to communicate the value of OR/analytics to nonprofits, and
perhaps more importantly, what we have learned about applying OR/analytical
methods to problems that truly matter to our nonprofit clients.
2 - Is Crime A Real Estate Problem? A Case Study Of The
Neighborhood Of East Liberty, Pittsburgh
Tayo Fabusuyi, Numeritics & Carnegie Mellon University,
Pittsburgh, PA, United States,
tfabusuyi@cmu.eduThis study documents the innovative efforts of a community development
organization (CDO) in the City of Pittsburgh’s East End towards combating crime
in the neighborhood of East Liberty. Through a community driven process, the
CDO was able to establish the nature of the problem and create a strategic
intervention to address it. The intervention, which focuses on the identification of
crime hot spots coupled with place-based management, along with initiatives
designed to increase collective efficacy, resulted in a 49% decrease in crime within
the neighborhood’s residential area over a span of five years.
3 - Can Improving Youth Decision-making Skills Make Them Less
Vulnerable For Sex Traffickers?
Kendra Taylor, KEYfficiencies, Inc, Atlanta, GA, United States,
Kendra@KEYfficiencies.comThe old adage “an ounce of prevention is worth a pound of cure” summarizes the
motivation for addressing an alarming market for sex trafficking of children in
Atlanta, Georgia. Several groups have begun passing legislation, raising
awareness, rescuing those previously labeled child prostitutes. With
approximately 5,000 students between the ages of 12 and 14 at risk for being
victims in the sex trade, much still remains to be done in the area of prevention.
The purpose of this study is to assess the potential of a pilot program to reduce the
supply of vulnerable children by addressing the role of poor decision-making
skills, by engaging adult advisors, and by creating positive peer groups.
4 - Measuring Success: Community Analytics For Local
Economic Development
Michael P Johnson, University of Massachusetts Boston,
michael.johnson@umb.eduMain Street organizations develop local development initiatives that support
economic and social goals. We describe an application of value-focused thinking
and community-based operations research to identify economic development
performance metrics and decision alternatives for local development
interventions. Using interviews with stakeholders in three Boston communities,
we show how values structures vary across communities and stakeholder groups
and how attributes can be quantified using a variety of data sources. We conclude
by presenting a composite values structure to support improved operations
management and strategy design for all Boston Main Street districts.
MB52
214-MCC
Resilience Management Concepts for Infrastructure
and Service Systems
Sponsored: Public Sector OR
Sponsored Session
Chair: Joost Santos, George Washington University, 800 22nd St NW,
Suite 2830, GWU Science and Engineering Hall, Washington, DC,
20052, United States,
joost@gwu.edu1 - Evaluation Of Resilient Point-of-use Water Treatment
Technologies Using Multi-attribute Decision-making Analysis
Sheree Ann Pagsuyoin, University of Massachussetts Lowell,
sheree_pagsuyoin@uml.edu, Joost Reyes Santos, Jana S Latayan
Many point-of-use (POU) water treatment technologies are now available in the
market as a result of efforts to address the persistent poor access to safe water and
high incidences of waterborne diseases in low-income regions of the world. While
the availability of options is ideal, this has also created a challenge in selecting
technologies that are suitable in local settings. In this work, we present an
application of Multi-Attribute Decision-Making analysis to rank and select options
for POU water treatment in a poor rural community. Six technologies were
considered: SODIS, boiling, chlorination, biosand filtration, ceramic pot filtration,
and flocculation-disinfection.
2 - Decision Analytics Using Plural Resilience Metrics For Adaptive
Supply Chain Management
Shital Thekdi, University of Richmond,
sthekdi@richmond.edu,Joost Reyes Santos
Recent events have highlighted the need for supply chain systems to effectively
recover, adapt, and reorganize after disruptions. Common modeling methods use
single measures of performance in decisions for investing in resilience. However,
complex systems such as those involving movement of goods and services require
competing units of measurement, such as workforce availability, health, capacity,
and safety. This presentation provides a framework for: 1) Data-analytic modeling
of resilience with competing measures of performance, and 2) Multi-criteria and
multi-stakeholder investment analytics. The proposed framework will be
demonstrated on a distributed supply chain network.
3 - Integrating Community Capitals With Resilient Insurance
Strategies For Flood Risk Mitigation
Leyla Sadigh, Research Assistant, George Washington University,
Washington, DC, 20052, United States,
leyla.sadigh@arup.comAjita Atreya, Ekundayo Shittu
In this paper, we explore the role of insurance decision making in influencing
community resilience along the five dimensions of capital - physical, financial,
human, social, and natural. We integrate these five capitals in a dynamic
computable general equilibrium model with the demand and supply side of
community resilience (measured across robustness, redundancy, resourcefulness,
and rapidity) through insurance. Our focus on flood insurance is to achieve a
better understanding of how risk perceptions in capital influence insurance-
purchasing decisions and identify strategies that encourage investments in flood
mitigation measures.
4 - Development Of Multi-attribute Decision Framework For Selecting
Flow Control Structures In Irrigation Canals
Sheree Pagsuyoin, University of Massachussetts Lowell, MA,
sheree_pagsuyoin@uml.eduThe stiff competition for water between agriculture and non-agricultural users
makes it necessary to have effective management of irrigation networks in farms.
However, the process of selecting flow control structures in irrigation networks is
highly complex and involves multi-level decision makers. In this work, we apply
multi-attribute decision making methodology to select and prioritize among check
and intake structures for irrigation canals. The relevant attributes for selecting
structures were also identified, and a robust scoring system was developed. The
model was then applied to analyze the Qazvin irrigation network, one of the
oldest and most complex irrigation networks in Iran.
MB52