Informs 2015

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INFORMS Philadelphia – 2015
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MC36
36-Room 413, Marriott
Community-Based Operations Research II
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 - Resource Allocation for Sustaining Interventions in the
Education System
Donna Llewellyn, Executive Director, Boise State University, I910
University Drive, ISDI - ACS 104, Boise, ID, 83725-1155, United
States of America, , Pratik Mital,
Roxanne Moore
In this work, the Education System Intervention Modeling Framework (ESIM) is
developed that can be used to analyze interventions in the K-12 education
system. The framework aids in allocating resources to the more important parts of
the system such that probability of sustaining the intervention can be maximized
and the cost of implementation remains within the budget constraints. The
framework can also be extended to analyze other complex systems like
Healthcare, Humanitarian aid etc.
2 - Blending Systems Thinking Approaches for Organisational
Diagnosis: Child Protection in England
David Lane, Henley Business School, Reading, United Kingdom
The Department for Education’s high-profile ‘Munro Review of Child Protection’
used a blend of systems thinking ideas. First, a compliance culture that had
emerged was diagnosed. Then system dynamics generated a complex map of the
intended and unintended consequences of previous policies and helped identify
the sector’s drivers. This led to recommendations that were systemically coherent,
avoiding problems produced by previous policies. Government supported and
implemented the recommendations.
3 - Multiple Resource Type Straddling a Standard with Applications in
Election Resource Allocation
Theodore Allen, Associate Professor, The Ohio State University,
1971 Neil Avenue, 210 Baker Systems, Columbus, OH, 43221,
United States of America, Muer Yang
The challenge of guaranteeing that no one will wait over 30 minutes using
simulation optimization is explored. Novel selection and ranking methods are
proposed. Numerical results illustrate potential new guidelines and associated
computational savings.
4 - Measures and Inference of Spatial Access to Pediatric Dental
Care in Georgia
Monica Gentili, Georgia Tech, North Ave NW, Atlanta, GA, United
States of America, , Shanshan Cao,
Nicoleta Serban, Susan Griffin
We develop a measurement and modeling framework to infer the impact of policy
changes on disparities in spatial accessibility to pediatric dental care in Georgia.
Our measurement models are based on optimization models that match need of
service with supply under a series of user and provider system constraints. We
compare the derived measures and evaluate the impact of policy interventions for
two population groups (publicly insured and privately insured children) and for
rural and urban areas.
MC37
37-Room 414, Marriott
Health Care Modeling and Optimization VII
Contributed Session
Chair: Kamil Ciftci, PhD Candidate, Lehigh University, H.S. Mohler
Laboratory, 200 West Packer Ave., Bethlehem, PA, 18015,
United States of America,
1 - A Multi-Objective Algorithm for Optimizing Service Consistency in
Periodic Vehicle Routing Problems
Kunlei Lian, University of Arkansas, Bell 4113, 1 University of
Arkansas, Fayetteville, AR, 72701, United States of America,
Ashlea Milburn, Ronald Rardin
This research concerns optimizing service consistency in periodic vehicle routing
problem, in which customers require repeatable visits over a time horizon and
visits to a customer can only happen on one of his allowable visit day
combination. Service consistency, including driver consistency and time
consistency is optimized together with travel cost using a heuristic multi-objective
algorithm. Large neighborhood search is used in the algorithm framework to
optimize each objective separately.
2 - Conjugate Gradient Algorithms to Optimize RBE-weighted Dose
in Intensity Modulated Proton Therapy
Guven Kaya, PhD Student, Industrial Engineering, University of
Houston, E206 Engineering Bldg 2, Houston, TX, 77204,
United States of America, , Gino Lim
Intensity modulated proton therapy (IMPT) usually operates a constant relative
biological effectiveness (RBE). In fact, RBE is not constant. RBE is described as a
function of dose, linear energy transfer (LET) and tissue type in the structure of
the linear-quadratic (LQ) model. We study the optimization of radiobiological
effects (dose and rbe-weighted dose) in the context of LQ model by using two
conjugate gradient algorithms. For results, we use data for head and neck cancer
case.
3 - Robust Surgery Scheduling with Exception Analytics
Yooneun Lee, The Pennsylvania State University, 236 Leonhard
Building, University Park, PA, 16802, United States of America,
Vittaldas Prabhu
In this study, we address a surgery scheduling problem with uncertain surgery
duration where surgical procedure takes place in multiple operating rooms. We
present a robust surgery scheduling model and study its performance using
exception analytics approach. We perform numerical experiments to compare
performances of various models including simple heuristics, and find out that the
results illustrate that the robust models with exception analytics works well across
different instances.
4 - Intertemporal Decisions in Hospital Capacity Planning
Jorge Vera, Professor, Universidad Catolica de Chile, Dept.
Industrial and System Engineering, Vicuna Mackenna 4860,
Santiago, Chile, , Ana Batista
Correct planning of capacity in a hospital is crucial for high standards of service to
patients. The problem is complex not only because of the different areas in a large
hospital but also because of several uncertainties present in the system, like
patient demand or length of stay. In this work we show how we could use an
intertemporal hierarchical decisions modeling to address this problem. We present
model alternatives as well as solution methods based on Stochastic Optimization
5 - Workload Balancing Problem in an Outpatient Center
under Uncertanity
Kamil Ciftci, PhD Candidate, Lehigh University, H.S. Mohler
Laboratory, 200 West Packer Ave., Bethlehem, PA, 18015,
United States of America,
Creating fair nurse workload in infusion center is a difficult task due to
uncertainty in patient late cancelation and no-show while patient satisfaction is
top priority for hospital. In this study, we propose two-stage stochastic program
model to find best combination of nurse workload balancing schedule (NWBS)
and patient waiting time (PWT) under different uncertainties. Computational
results show that proposed methodology provides better NWBS and keeps
average PWT under hospital goal.
MC38
38-Room 415, Marriott
Dynamic Programming and Control I
Contributed Session
Chair: Jefferson Huang, Stony Brook University, Dept. Applied
Mathematics & Statistics, Stony Brook, NY, 11794-3600, United States
of America,
1 - Dynamic Pricing Mapreduce Model
Minghong Xu, Doctoral Student, University of Illinois at Chicago,
600 S. Morgan St., Chicago, IL, 60607, United States of America,
, Sid Bhattachary, Kunpeng Zhang
Dynamic programming breaks the problem down into a collection of simpler
subproblems and has the optimal substructure. But it suffers from “curse of
dimentionality”. On the other hand, distributed implementation using
MapReduce has been proved to be an efficient tool that solved a lot of large-scale
problems. In this study, the Big Data era technics is used to solve Big State Space.
A MapReduce Model is proposed for a Dynamic Pricing problem using E-
Commerce data.
2 - Energy Storage Management in Microgrids:
A Supplier’s Perspective
Arnab Bhattacharya, University of Pittsburgh, 6236 Fifth Avenue,
Apt. 102A, Pittsburgh, PA, 15232, United States of America,
Jeffrey Kharoufeh
We consider a renewable energy supplier’s problem of optimally procuring, selling
and storing energy when renewable supplies and real-time prices are uncertain. A
finite-horizon MDP model is formulated and solved to maximize the supplier’s
total expected (discounted) net profits, subject to storage capacity and
transmission constraints.
MC38