2015 Informs Annual Meeting

MB36

INFORMS Philadelphia – 2015

4 - Who is Better off in a Focused Factory and Why? A Comparison of On-site and Off-site Surgery

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, julia.moline@fema.dhs.gov, 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, feyza.sahinyazan@mail.mcgill.ca, 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,

Michael Freeman, University of Cambridge, Cambridge, CB2 1AG, United Kingdom, mef35@cam.ac.uk, 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, retsef@mit.edu 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, srstew@mit.edu, 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, aanoun@mit.edu, 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, yanchong@mit.edu, 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.

Cambridge, MA, 02139, United States of America, mbrenn@mit.edu, 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, Michael.Johnson@umb.edu 1 - The Humanitarian Pickup and Distribution Problem Michal Tzur, Professor, Tel Aviv University, Industrial Engineering Department, Tel Aviv, 69978, Israel, tzur@eng.tau.ac.il, 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, Michael.Johnson@umb.edu, 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.

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, marieeve@mit.edu 1 - Assignment and Scheduling of Community Health Workers Karen Smilowitz, Northwestern University, 2145 Sheridan Road, Evanston, IL, United States of America, ksmilowitz@northwestern.edu, Paige Von Achen, Avi Kenny, Ross Feehan, Mallika Raghava

183