2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
390
WA78
Legends F- Omni
Opt, Metaheuristics I
Contributed Session
Chair: Pakayse Koken, PhD Candidate, Binghamton University,
4400 Vestal Parkway East, Binghamton, NY, 13902, United States,
1 - Optimizing Communication In Parallel Algortihm Portfolios
Andrii Berdnikov, Graduate Student, University of Tennessee,
Knoxville, 525 John D. Tickle Building,851 Neyland Drive,
Knoxville, TN, 37996-2315, United States,
We establish a Markov model of parallel algorithm portfolio performance that
captures communication between individual algorithms. Based on the proposed
model we investigate different probabilistic measures of efficiency and speed to
evaluate performance of algorithm portfolios. These measures are used to
optimize communication between individual algorithms in portfolio
configuration.
2 - Metaheuristics For Dynamic Lot Sizing Problem With Returns And
Hybrid Products
Pakayse Koken, PhD Candidate, Binghamton University,
4400 Vestal Parkway East, Binghamton, NY, 13902, United States,
For a hybrid system with manufacturing and remanufacturing, a variant of
dynamic lot sizing problem is addressed. In the hybrid system, manufactured,
remanufactured and hybrid products are produced. Hybrids are composed of
approximately 90% new parts and 10% returns. The main objective of this study
is to investigate the profitability conditions for producing hybrids. Therefore, a
variant of dynamic lot sizing problem is formulated as a mixed-integer nonlinear
programming (MINLP) problem. The performance of the system with hybrids is
compared to the same system with no hybrids. Metaheuristic algorithms are used
to find near optimal solutions to the MINLP problem.
3 - A Hybrid Genetic Algorithm For The Fixed Charge Transportation
Problem With The Non-linear Unit Costs
Kiseok Sung, Gangneung-Wonju National University, Gangneung,
Korea, Republic of. Contact:
We present a hybrid method of the Genetic Algorithm for the Fixed Charge
Transportation Problem with the Non-linear Unit Costs, mathematically formu-
lated with the 0-1 mixed integer program with non-linear objective function and
linear constraints. The GA is used in the upper level to optimize the connectivity
of the transportation route between each supply and demand pair. The
Continuous GA is used in the lower level to optimize the amount of transporta-
tion between each supply and demand pair. In the upper and lower level of pro-
cedure, the solutions are verified of the feasibility and modified if necessary to
maintain the feasibility.
WA79
Legends G- Omni
Opt, Stochastic V
Contributed Session
1 - A New Framework For Shortest Path Problem In
Dynamic Network
Yingying Kang, Senior Operations Research Developer, Southwest
Airlines Co., Dallas, TX, United States,
Shortest path algorithm has been well developed over years. The classic dijkstra’s
algorithm provides exact solution with reasonable run time. However, it has
limitation in solving complicated problems, especially when network is dense and
changes dynamically. This presentation presents a new framework and enhanced
searching procedure to raise the efficiency in dynamic network. This solution has
been proved to improve the solution quality and efficiency significantly in large
scaled dynamic network and provide a practical and effective solution to real time
problems.
2 - An Enhanced Sample Average Approximation Technique To Solve
A Two-stage Chance-constrained Optimization Problem
Sudipta Chowdhury, PHD Student, Mississippi State University,
260 McCain Engineering Building, ISE Department, Starkville, MS,
39762, United States, , Adindu Emelogu,
Mohammad Marufuzzaman, Linkan Bian
This study proposes an enhanced Sample Average Approximation (SAA)
technique to solve a two-stage stochastic chance-constrained optimization
problem. The problem is challenging to solve as the feasibility region defined by
chance constraints is generally non-convex and hence requires multi-dimensional
integration. The numerical studies show that for all sized instances the combined
enhanced SAA approach gives faster and better quality solution than the
combined SAA approach. Results also indicate that, strengthened formulation
which is typically much faster to solve chance constrained MILP, can also be
outperformed by the enhanced SAA approach for larger instances.
WA80
Broadway E- Omni
Health Care, Public I
Contributed Session
Chair: Amit K Bardhan, Professor, University of Delhi, Delhi, 110007,
India,
1 - Application Of System Dynamics To Private Sector Versus
Medicare Cost Projections
Michael P D’Itri, Associate Dean and Professor, Dalton State
College, 650 North College Drive, Dalton, GA, 30720, United
States, Robert Culp, Jon Littlefield
A source of contention over the Affordable Care Act results from analyses based
on segmentation of the population studied into public (Medicare) versus private
healthcare providers. This research controls for this effect by employing a systems
dynamic method to model private sector and Medicare costs over time. Age data
from the 2000 United States Census is represented using a distributed delay with
net annual changes in population calibrated to match the 2010 census data.
Average costs per person in each age group are calculated and used to make
future cost projections.
2 - Identifying The Impact Of Outdated Drug Limit Library Usage By
Smart Infusion Pump Logs
Kang-Yu Hsu, PhD Student, Purdue University, Gerald D and Edna
E Mann Hall, 203 S. Martin Jischke Drive, Lafayette, IN, 47907,
United States, , Poching DeLaurentis,
Yuval Bitan, Daniel Degnan, Yuehwern Yih
Drug Limit Library (DLL) in infusion pumps may not be updated efficiently. The
inconsistency between DLL in pumps and the most up-to-date DLL may put
patient safety at risk. In this study, we quantify the impact of adopting out-of-date
DLL through investigating smart infusion pump logs, and examine infusions
which potentially jeopardized patient safety with outdated DLL usage.
3 - A Game Theoretic Approach To Pediatric Vaccine Pricing
Banafsheh Behzad, Assistant Professor, California State University,
Long Beach, 1250 Bellflower Blvd, MS 8506, Long Beach, CA,
91101, United States, ,
Sheldon H Jacobson
Pricing strategies in the US pediatric vaccines market are studied using a
Bertrand-Edgeworth-Chamberlin price game. The game analyzes the competition
between asymmetric, capacity-constrained manufacturers producing
differentiated products in a market with linear demand. The results indicate that
the pure strategy equilibrium exists if the production capacity of a manufacturer
is at their extreme. In a duopoly setting, the distribution functions of the mixed
strategy equilibrium for manufacturers are provided. The proposed game is
applied to the US pediatric vaccine market, where competing vaccines are
differentiated based upon the number of reported medical adverse events.
4 - Storage And Transport Considerations In Designing The WHO-EPI
Vaccine Distribution Network
Jayant Rajgopal, Professor, University of Pittsburgh, Department of
Industrial Engineering, University of Pittsburgh, Pittsburgh, PA,
15261, United States, Jung Lim,
Bryan A Norman
The WHO-EPI vaccine distribution chain is used to deliver vaccines for
inoculating children against vaccine-preventable diseases. The structure of this
chain is rigid and almost identical in most low and middle income countries,
despite significant demographic, geographical and economic differences. We
describe the problem of designing a network that is based on the parameters
associated with a specific country and present an integer programming
formulation that optimizes the structure for a given country while also
determining the primary parameters of cold storage and transportation along with
the design. Issues related to solving this model are also discussed.
5 - Healthcare Facility Location Model Based On Choice Behaviour
Of Catchment Population
Amit K Bardhan, Professor, University of Delhi, Delhi, 110007,
India, Arun K Sharma, Kaushal Kumar
Due to excessive demand and limited capacity, public healthcare delivery systems
in developing countries operate under immense pressure. New facilities when
established should not only be useful to the unserved, they should also reduce
pressure on existing centers. Most healthcare facility location models focus on
ease of access criteria like distance, travel-time, population density etc. In recent
studies it has been reported that assurance and quality of care are also important
while choosing healthcare facility. In this paper we propose a hierarchical facility
location model that incorporates such behavioral choice criteria of target
population.
WA78