2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
424
WB81
Broadway F- Omni
Health Care, Strategies II
Contributed Session
Chair: Michelle M. Alvarado, Visiting Assistant Professor, Texas A&M
University, 3131 TAMU, College Station, TX, 77843, United States,
1 - Nursing Home Rating System Inspection And Audit
Xu Han, Research Assistant, University of Connecticut School of
Business, 2100 Hillside Road, Storrs, CT, 06269, United States,
CMS’s nursing home rating system gives ratings by combining inspection and self-
reported measures, which are subject to inflation. In this paper, we optimize
CMS’s inspection and audit mechanism to control inflation and improve system
performance. We formulate the inspection problem by using an innovative graph-
based method, and test it with CMS data. Our result shows that the measure
currently being inspected is optimal only if an effective audit mechanism is in
place. We then add nursing homes’ reactions to audit into consideration and
conduct a simulation to study the optimal parameter settings. Our result suggests
that CMS should set a moderate extensiveness of audit, and a high punishment
rate.
2 - Calling For Care? The Risky Proposition Of Teletriage In
Healthcare Demand Management
Ozden Engin Cakici, Assistant Professor, American University,
4400 Massachusetts Avenue, NW, Washington, DC, 20016,
United States, Alex Mills
A major challenge in healthcare is the need to match the patient’s medical
condition to the right provider. Patients are medically inexperienced, so their
decision can lead to costly service mismatches. We model the effect of adding
telephone triage by a “nurseline” on the patient’s decision as a POMDP. We
examine the effect of adding a free or low cost nurseline on the patient’s decision
and on accessibility to an appointment. We show that a patient’s choice is a
threshold policy based on her belief about her illness severity. We also show that
nurseline may reduce cost and increase quality of care for a risk-neutral patient,
but it may lead to an opposite behavior for a risk-seeking patient.
3 - Association Between Reserve Capacity And Surge Event
Resiliency In Community Hospitals
Raymond L Smith, Doctoral Candidate, North Carolina State
University, 318 Weycroft Grant Drive, Cary, NC, 27519,
United States,
This paper explores the association between the reserve capacity maintained by a
community hospital and the operational recovery period following a patient surge
event. The study examines whether increasing the ready reserve bed capacity
results in greater benefits over other alternatives that include clinical area
expansion. A model of a community hospital is used to explore the effects of
varied unit capacity on congestion and recovery duration. Results indicate that
increasing the ready reserve bed capacity and contingency surge capacity can
provide the most competitive outcomes; however, outcomes are demonstrated to
be vulnerable to resource activation responsiveness.
4 - A Multi-method Simulation Model Of Hospital Readmission
Reduction Strategies
Michelle M. Alvarado, Visiting Assistant Professor, Texas A&M
University, 3131 TAMU, College Station, TX, 77843,
United States, , Mark Alan Lawley
In 2012 the Centers for Medicare and Medicaid Services implemented a penalty-
only system to reduce the rate of hospital readmissions. We develop a
multi-method simulation model to assess the impact of alternative readmission
reduction strategies, including an incentive-only reimbursement model. The
multi-method model combines agent-based simulation of the patient population
with system dynamics of the healthcare reimbursement system. Impact is assessed
by improvements in the quality of care and reduction in 30-day hospital
readmission rates. Results indicate that the incentive-only model is preferred to
the penalty-only model under certain conditions.
WB82
Broadway G- Omni
Networks and Graphs II
Contributed Session
Chair: Christopher Claypool, Louisiana State University, 1315 Woodcliff
Drive, Baton Rouge, LA, 70815, United States,
1 - Modelling And Simulation Of The Formation Of Social Networks
Song Chew, Associate Professor, Southern Illinois University-
Edwardsville, SIUE, Edwardsville, IL, 62026, United States,
The objective of this study is to determine the distribution of the degree of a node
in a social network formed when a newborn node connects to a fixed number of
randomly chosen existing nodes and any pair of chosen nodes are connected if
they are not already connected.
2 - Exact And Heuristic Algorithms For Finding An Efficient Theme
Park Tour
Richard Forrester, Associate Professor of Mathematics, Dickinson
College, Department of Mathematics, College and Louther Street,
Carlisle, PA, 17013, United States,
Danny Rivers, James Midkiff, Elizabeth Bouzarth, Kevin Hutson
The problem of efficiently touring a theme park is an instance of the well-known
Time-Dependent Traveling Salesman Problem (TDTSP). In this talk we describe a
mixed-integer programming method and two different metaheuristic approaches
(genetic algorithm and tabu search) that can be used to find an efficient solution
to the TDTSP. We provide computational experience for when our algorithms are
utilized to find tours of Disney World and Hershey Park.
WB83
Broadway H- Omni
Supply Chain Optimization II
Contributed Session
Chair: Wang Shukun, Huazhong University of science and technology,
Luoyu Road 1037, Wuhan, 430074, China,
1 - Optimization Of Lignocellulosic Biomass To Biofuel Supply Chains
With Mobile Pelleting
Nibal Albashabsheh, PhD Student, Kansas State University,
1604 Roof Drive, Apt 101, Manhattan, KS, 66502, United States,
Jessica Heier Stamm
The low density of lignocellulosic biomass (LB) results in high costs associated
with biomass transportation, storage, and handling in the biomass-to-biofuel
supply chain (BBSC). Mobile pelleting machines provide an as-yet-unexplored
opportunity to increase LB density. A comprehensive BBSC optimization model
that integrates mobile pelleting is developed to minimize the overall cost of
producing ethanol from LB. The proposed model addresses the unique challenges
of having different baling forms of LB and of the potential to use mobile pelleting
machines. A sensitivity analysis is conducted to identify the impact of important
parameters on decisions related to biomass densification.
2 - Supply Chain Coordination Under Price Sensitive Demand:
A Game Theoretic Approach
Barbara Venegas Quintrileo, Penn State University, University
Park, PA, 16802, United States, ,
Jose Antonio Ventura
This research explores the coordination between a supplier and a buyer within a
decentralized supply chain, through the use of quantity discounts in a game
theoretic model. We propose both non-cooperative and cooperative approaches
considering that the product traded experiences a price sensitive demand,
uniquely defined by an elasticity coefficient. In the first case we study the
dynamics of the game from the supplier’s perspective as the leader obtaining a
Stackelberg equilibrium. In the second case we formulate a cooperative model
where decisions are taken jointly, emulating a centralized decision making
process.
3 - Flexible Production Resources And Capacity Utilization Rates:
A Robust Optimization Perspective
Aldis Jakubovskis, University of Missouri - St. Louis, Saint Louis,
MO, United States,
We apply robust optimization in the context of optimal choices of product-
dedicated and flexible capacities in a spatial setting under demand uncertainty.
Total capacity may not be fully utilized because of the distinction between largest
and costliest demand realizations. More flexible capacity can increase utilization;
however, our results report less than full capacity utilization even using flexible
capacity only.
WB81