Informs 2015

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INFORMS Philadelphia – 2015
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3 - Building Temperature Control with User Feedback and
Energy Optimization
John Wen, Professor, Rensselaer Polytechnic Institute, CII 5015,
110 8th St., Troy, NY, 12180, United States of America,
Buildings are occupied by multiple occupants with different comfort preferences
in a shared space. This paper proposes a distributed incentive based strategy to
balance the user comfort feedback and building energy optimization. We establish
the convergence of the proposed algorithm to the optimal temperature set-point
that minimizes the total energy cost and the aggregate discomfort of all occupants.
4 - Green Technology Innovations, Adoption, and Regulation
Xin Wang, Carnegie Mellon University, 5000 Forbes Ave,
Pittsburgh, PA, 15213, United States of America,
, Alan Scheller-wolf
When a government is considering tightening a standard on a pollutant, their
decision often is influenced by the number of firms being able to meet the
tightened standard, because a higher number indicates a more feasible standard.
We study how such regulation may affect a firm’s incentive to develop a new
technology to reduce a pollutant. We find that stricter regulation may discourage
a firm to develop a new technology, but may encourage other firms to adopt the
technology once it is invented.
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41-Room 102A, CC
ED Operations Management
Sponsor: Manufacturing & Service Oper
Mgmt/Healthcare Operations
Sponsored Session
Chair: Vedat Verter, James Mcgill Professor, Desaultels Faculty of
Management, McGill University, 1001 Sherbrooke Street West,
Montreal, QC, H3A 1G5, Canada,
1 - Specialist Care in Rural Hospitals: from Emergency Department
Consultation to Ward Discharge
Michael Klein, PhD Candidate, McGill University,
Desautels Faculty of Management, Montreal, Canada,
, Vedat Verter, Brian G. Moses,
Hughie F. Fraser
Patients often wait for admission to inpatient wards, boarding on stretchers in
hallways. These delays are the key contributor to Emergency Department (ED)
crowding, resulting in adverse effects including higher mortality. We consider the
ED boarding problem from the perspective of specialists. We focus on Internal
Medicine at two hospitals in Nova Scotia, Canada. We propose a stochastic
dynamic programming model to analyze current practice and identify strategies
for improvement.
2 - Impact of Coordination and Information Sharing in Urban
Incident Response
Jonathan Helm, Indiana University Bloomington,
1309 E. Tenth Street, Bloomington, IN, United States of America,
, Alex Mills, Andres Jola-sanchez,
Mohan Tatikonda, Bobby Courtney
Following a disaster in an urban area, on-scene responders must decide how to
distribute casualties among hospitals. This is typically done without information
(real-time or otherwise) about hospital capacities, ED and inpatient. We study a
new type of organization, called a healthcare coalition, and use real data to study
what types of information this organization should share with responders after a
multiple casualty incident to improve response.
3 - Optimal Admission/Discharge Criteria for Patients with Heart
Failure in Observation Units
Sanket Bhat, McGill University, 1001 Sherbrooke Street West,
Room 520, Montreal, QC, H3A 1G5, Canada,
, Beste Kucukyazici, Rick Mah
Although more than 80% of the patients presented to Emergency Departments
with symptoms related to acute decompensated heart failure (ADHF) are
hospitalized, the majority of patients are not in need of an acute intervention
beyond decongestion. These patients could be managed in observation units and
be discharged without hospitalization. We develop a stochastic model that
dynamically assess the risk levels of ADHF patients, and determine criteria to
optimally discharge, observe, or admit them.
4 - A Data-driven Stochastic Model of an Emergency Department
Xiaopei Zhang, Columbia University, 1 Morningside Drive,
Apt. 1710, New York, NY, 10025, United States of America,
, Ward Whitt
We explore arrival and length-of-stay (LoS) data from an Israeli Emergency
Department. We fit a time-varying two-class (hospitalized or not) infinite-server
queueing model with nonhomogeneous Poisson arrivals, where the arrival
rate/admission/LoS is periodic over a week/day/day. Departures after long LoS
tend to occur at midnight.
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42-Room 102B, CC
Joint Session MSOM-Health/HAS: Global Health
Delivery
Sponsor: Manufacturing & Service Oper
Mgmt/Healthcare Operations
Sponsored Session
Chair: Jonas Jonasson, Student, London Business School, Regent’s
Park, London, NW1 4SA, United Kingdom,
1 - Demand vs. Supply-side Investment in Humanitarian Operations
Karthik V. Natarajan, Assistant Professor, University of
Minnesota, 321 19th Avenue South, 3-150, Minneapolis, MN,
United States of America, ,
Jayashankar Swaminathan
Both supply- and demand-side constraints impact program coverage in
humanitarian settings. We first study the problem of identifying the optimal mix
of supply- and demand-side investments faced by a budget-constrained
organization in a centralized setting. We then consider a decentralized setting and
identify the optimal performance-based contract to mobilize demand. In addition,
we also compare the performance of the optimal contract against three contracts
frequently used in practice.
2 - Assessing the Impact of U.S. Food Assistance Delivery Policies
on Child Mortality in Sub-Saharan Africa
Alex Nikulkov, Stanford GSB, 655 Knight Way, Stanford, CA,
94305, United States of America, ,
Lawrence Wein
The U.S. is one of the few countries in the world that delivers its food assistance
via transoceanic shipments of commodity-based in-kind food, which is more
costly and less timely than cash-based assistance. Using household survey data,
geospatial data and supply chain modeling, we estimate that child mortality in
sub-Saharan Africa can be reduced by 16.2% if the U.S. switches entirely to cash-
based interventions.
3 - How Good are Uniform Co-Payments in Increasing
Market Consumption?
Gonzalo Romero, Rotman School of Management, 105 St. George
Street, Toronto, Canada,
Retsef Levi, Georgia Perakis
We analyze the problem of a central planner allocating co-payment subsidies to
competing heterogeneous firms, under an endogenous market response and a
budget constraint. We present the first worst-case performance guarantees in
maximizing market consumption for the frequently implemented policy of
uniform co-payments. Namely, allocating the same co-payment to each firm is
guaranteed to induce a significant fraction of the optimal market consumption,
even if the firms are highly heterogeneous.
4 - Deployment Guidelines for Community Health Workers in
Sub- Saharan Africa
Jonas Jonasson, Student, London Business School, Regent’s Park,
London, NW1 4SA, United Kingdom,
Anne Liu, Sarang Deo, Jérémie Gallien, Carri Chan
Community health workers (CHWs) are increasingly important to the delivery of
health care in many African countries. Leveraging an extensive dataset featuring
time, clinical findings and GPS information for CHW visits in Ghana, we develop
a stochastic model describing the health dynamics of a population served by a
time-constrained CHW. This model supports the design of managerial guidelines
for the patient prioritization, catchment area assignment and task profile
definition in a CHW operation.
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