Informs 2015

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INFORMS Philadelphia – 2015
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4 - Who is Better off in a Focused Factory and Why?
A Comparison of On-site and Off-site Surgery
Michael Freeman, University of Cambridge, Cambridge, CB2
1AG, United Kingdom, Stefan Scholtes
We study a teaching hospital with a substantial off-site “focused factory”
operation for elective surgery and compare outcomes of patients in the focused
factory with outcomes of similar patients operated on on-site. In line with OM
theory, we find superior performance at the off-site focused factory. We then use
the off-site plant to explore the reasons why operations at the on-site plant are
less efficient and less effective.
MB34
34-Room 411, Marriott
Supply Chain Analytics: Public Food Safety
Applications
Sponsor: Health Applications
Sponsored Session
Chair: Retsef Levi, J. Spencer Standish (1945) Professor of Operations
Management, Sloan School of Management, MIT, 100 Main Street,
BDG E62-562, Cambridge, MA, 02142, United States of America,
1 - Chicken Jerky Pet Treats Reveal Troubling Supply
Chain Vulnerabilities
Shannon Stewart, Research Scientist, MIT Center for Biomedical
Innovation, 77 Massachusetts Ave, E19-604, Cambridge, MA,
02139, United States of America, , Amine Anoun,
Stacy Springs, Retsef Levi, Karen Zheng, Sabrina Cheng, Louis
Chen, James Leung, Tyngwei Chen
For the last eight years, the FDA has been grappling with an ongoing
contamination of jerky treats for pets that are made in China. To date, 5,800 dogs
have been sickened by the products, and 1,000 have died. Careful analysis of the
clinical signs, product ingredients, and associated supply chains has revealed
vulnerabilities in the supply chain. We will explore supply chain structures in
China and learn how they can lead to unsafe practices that have important
implications for product quality.
2 - A Data Driven Approach to Mitigate Risk in Global
Food Shipments
Amine Anoun, Massachusetts Institute of Technology, 77
Massachusetts Avenue, Cambridge, MA, 02139, United States of
America, , Tauhid Zaman, Retsef Levi,
Shannon Stewart
Investigating global shipping data can help predict high risk behavior among
companies. We collect over 67,000 bills of lading for honey shipments and focus
on global shipping patterns to investigate whether signals produced in shipping
documents are predictive of adulteration. We identify features that may be
predictive of high risk behavior, then develop a Bayesian statistical model to
predict which shippers are at risk of committing some form of adulteration.
3 - Risk Drivers in Farming Supply Chains
Karen Zheng, MIT, 77 Massachusetts Avenue, Cambridge, MA,
02139, United States of America, Retsef Levi,
Shujing Wang
We study how the structure of a farming supply chain impacts the quality risk for
agricultural products. We develop a methodology to quantify the dispersion of a
farming supply chain and use farm-level data from different agricultural
industries to test the hypothesis that a more distributed farming supply chain is
subject to higher quality risk. Our results suggest that dispersion is a key driver to
quality risk for food products.
MB35
35-Room 412, Marriott
Relief Distribution Management
Sponsor: Public Sector OR
Sponsored Session
Chair: Marie-Eve Rancourt, Assistant Professor, University of Quebec in
Montreal, Case Postale 8888, Succursale Centre-vil, Montreal, QC, H3C
3P8, Canada,
1 - Assignment and Scheduling of Community Health Workers
Karen Smilowitz, Northwestern University,
2145 Sheridan Road, Evanston, IL, United States of America,
, Paige Von Achen, Avi Kenny,
Ross Feehan, Mallika Raghava
We present location-routing models for the assignment and scheduling of
community health workers and their supervisors in remote settings. This work is
a collaborative project with Last Mile Health, an NGO with the aim to expand
access to health care in rural Liberia.
2 - Locating and Sizing Fema’s Disaster Recovery Centers
Julia Moline, FEMA, FEMA, Washington, DC, United States of
America, Jarrod Goentzel,
Erica Gralla
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.
3 - Aid Transportation Procurement Analysis: The Case of the World
Food Programme in Kenya
Feyza Sahinyazan, PhD Candidate, McGill University, 1001 Rue
Sherbrooke Ouest Room 520, Montreal, QC, H3A 1G5, Canada,
, Vedat Verter,
Marie-Eve Rancourt
In East Africa, a region which suffers from chronic insecurity, The World Food
Programme usually contracts with third-party carriers based on a competitive
bidding mechanism; however, collected bids show inconsistencies with high
variances. In such a context, determining fair market prices is a complex task. In
this study, we analyze the factors that can explain these variances, such as
seasonality and road condition. We provide recommendations for better
transportation procurement practices.
4 - Facilitating Production of Grain Storage Products in Uganda
Mark Brennan, MIT, 77 Massachusetts Avenue, MIT, E38-648,
Cambridge, MA, 02139, United States of America,
Emily Gooding, Jarrod Goentzel
Using local manufacturing and distribution capacity in a humanitarian or
development context has the potential to be more effective and sustainable.
Examining the crop storage sector in Uganda, this study explores how NGOs
quickly scaling up local capacity can help risk-averse firms increase profit and
reduce costs through supply chain coordination.
MB36
36-Room 413, Marriott
Community-Based Operations Research I
Sponsor: Public Sector OR
Sponsored Session
Chair: Michael P. Johnson, Associate Professor, University of
Massachusetts Boston, 100 Morrissey Blvd., McCormack Hall,
Room 3-428A, Boston, MA, 02125-3393, United States of America,
1 - The Humanitarian Pickup and Distribution Problem
Michal Tzur, Professor, Tel Aviv University, Industrial Engineering
Department, Tel Aviv, 69978, Israel,
Ohad Eisenhandler
We study the logistic challenges of a food bank that coordinates food rescue
operations on a daily basis, using limited resources. We model it as a
routing–allocation problem, with the aim of maintaining equitable allocations to
the different agencies, while delivering as much as possible in total. We then
present characteristics of the optimal solution to the problem, an efficient
algorithm to solve sub-problems of it, and heuristic approaches to solve the
problem.
2 - Community-Engaged Decision Modeling for Local
Economic Development
Michael P. Johnson, Associate Professor, University of
Massachusetts Boston, 100 Morrissey Blvd., McCormack Hall
Room 3-428A, Boston, MA, 02125-3393, United States of
America, , Sandeep Jani
Main Street organizations develop local development initiatives that support
economic and social goals. This requires appropriate data and capacity to apply
analytic methods. We discuss a pilot study for Boston Main Streets that links
values, data, communication, analysis and action. Results demonstrate the
benefits of qualitative and quantitative methods to enable practitioners to make
best use of primary and secondary data for decision-making and information
systems design.
MB36