2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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4 - A Continuous Time Stochastic Model To Optimize Blood Pressure
Treatment Decisions
Anthony Bonifonte, Georgia Institute of Technology,
, Turgay Ayer, Ben Haaland, Peter Wilson
Antihypertensive drug treatment can control elevated blood pressure and reduce
the risk of future cardiovascular outcomes. We develop a data-driven stochastic
model of blood pressure progression that generalizes Brownian motion by
modeling the change in blood pressure per unit time as a Gaussian mixture
distribution. This model addresses the question of what thresholds at which to
initiate antihypertensive treatment and the optimal intensity. Our main finding is
initiation and intensity decisions depend jointly on systolic and diastolic pressure.
The methods are generalizable to other chronic diseases with continuous valued
measurements.
5 - Designing Effective Vaccine Administration Practices
Gizem Sultan Nemutlu, PhD Candidate, University of Waterloo,
Faculty of Engineering University of Waterloo, Carl A. Pollock Hall
3654 200 University Avenue West, Waterloo, ON, N2L 3G1,
Canada, , Fatih Safa Erenay,
Osman Yalin Ozaltin
Childhood vaccine wastage due to limited shelf-life of opened vials is still high in
developing countries. Our research shows that open vial wastage can be
significantly reduced by keeping vaccine stocks in different size vials, and
dynamically deciding what size of vial to use next and/or when to terminate daily
vaccination services. We develop a discrete-time MDP model maximizing demand
coverage. We analyze the structural properties of the optimal strategies and show
that the proposed model can help decision makers in determining the best vial-
size combinations and optimal inventory levels.
TB24
109-MCC
Analytics in Evidence-Based Practice (EBP)
Sponsored: Health Applications
Sponsored Session
Chair: John Zaleski, Bernoulli Health, 4801 S. Board Street, Suite 120,
Philadelphia, PA, 19112, United States,
1 - Clinical Applications Of Data Analytics: A Survey
Amy Harris, Middle Tennessee State University,
Increasing volumes and varieties of clinical data and growing interest in analytics
has created opportunities for healthcare organizations to study and address
clinical problems. Experience gained is often employed to improve care and,
where successful, results are published in academic journals. This presentation
surveys the literature and explores which types of analytics are most popular and
how healthcare organizations use data analytics to inform clinical practice.
2 - The Use Of Kalman Filtering In Alarm Management Studies
John Zaleski, Bernoulli Enterprise Inc,
Vitals signs monitoring in high acuity environments are often the source of alarms
and notifications to care providers. In this presentation, the author demonstrates
the use of a Kalman filtering technique that has been used in the identification of
alarm limit thresholds for capnography monitoring of patients in the medical
surgical environment post-operatively.
3 - The State Of Digital Marketing In The Healthcare Industry
Brian Harris, Lima Consulting,
Digital marketing technologies and web analytics have opened new opportunities
to provide actionable analysis to decision makers. However, many analysts
struggle with inconsistent or questionable data due to failed or sub optimal
deployments of these technologies. This study examines two million pages across
websites of hundreds of the world’s largest healthcare companies to provide
insights on the relative health of digital marketing and web analytics across
multiple sectors. It also provides practical advice for analysts seeking to improve
the quality and veracity of their web analytics data.
4 - Consistent Staffing For Long-term Care Through On-call Pools
Vincent W. Slaugh, Assistant Professor, Cornell University,
Ithaca, NY, 14850, United States,
Alan Scheller-Wolf, Sridhar R Tayur
Nursing home managers have increasingly emphasized consistency of care — i.e.,
minimizing the number of different nurse aides who care for each resident — but
have struggled with this goal due to nurse aide absences before the start of each
shift. We provide structural and numerical results for the relationship between
the number of aides in an on-call pool, on-call pool rules, staffing costs, and
consistency level. We also demonstrate that using part-time aides can actually
improve consistency of care if their on-call pool participation rate is sufficiently
high.
TB25
110A-MCC
Scheduling and Contracts
Invited: Project Management and Scheduling
Invited Session
Chair: Nicholas G Hall, Ohio State University, Columbus, OH, United
States,
1 - Multitasking Via Alternate And Shared Processing: Algorithms
And Complexity
Chung-Lun Li, The Hong Kong Polytechnic University,
Nicholas G Hall, Joseph Leung
This work is motivated by disruptions that occur when jobs are processed by
humans, rather than by machines. E.g., humans may become tired, bored, or
distracted. We present two scheduling models with multitasking features, which
aim to mitigate the loss of productivity in such situations. The first model applies
“alternate period processing” and aims either to allow workers to take breaks or
to increase workers’ job variety. The second model applies “shared processing”
and aims to allow workers to share a fixed portion of their processing capacities
between their primary tasks and routine activities. For each model, we consider
several widely studied and practical classical scheduling objectives.
2 - Scheduling To Minimize Energy Cost
Marc Posner, The Ohio State University, ,
Nicholas G Hall
While scheduling is an effective way to improve energy efficiency in
manufacturing, optimal scheduling becomes more complicated when energy costs
vary. Our machine has discretely variable speeds, and increased energy usage is
incurred at faster machine speeds. Three alternative scenarios about the time at
which the machine can change speed are considered. In each scenario, we study
the problem of minimizing total energy cost, subject to the completion of work by
a given date. We describe efficient algorithms for these problems where possible,
and also identify limits to their solvability.
3 - Analysis Of A Procurement Game With Option Contracts
Bo Chen, University of Warwick, Coventry, United Kingdom,
Edward James Anderson, Lusheng Shao
When a firm faces an uncertain demand, it is common to procure supply using
some type of option in addition to spot purchases. A typical version of this
problem involves capacity being purchased in advance, with a separate payment
made that applies only to the part of the capacity that is needed. We address such
a problem by formulating it as a procurement game, in which competing suppliers
choose a reservation price and an execution price for blocks of capacity, and the
buyer, facing known distributions of demand and spot price, needs to decide
which blocks to reserve.
4 - Scheduling Crash Tests At Ford With Sequencing Restrictions
And Capacity Constraints
Yuhui Shi, University of Michigan, 2212 Glencoe Hills Drive, Apt
11, Ann Arbor, MI, 48108, United States, ,
Amy Cohn, Marina Alex Epelman
We present the problem of scheduling crash tests at Ford Motor for new vehicle
model development. In this problem, we assume performing crash tests requires
prototype vehicles as well as other limited supporting resources such as testing
facilities and engineers. We show how to solve the problem subject to these
resource constraints by using various decomposition methods.
TB26
110B-MCC
Combinatorial Auction Pricing
Invited: Auctions
Invited Session
Chair: Benjamin Lubin, Boston University, Boston, MA, United States,
1 - Adaptive-price Combinatorial Auctions
Benjamin Lubin, Boston University,
This work introduces and implements an iterative combinatorial auction that aims
to achieve both high efficiency and fast convergence without prior restrictions on
the valuation domain. Our auction uses polynomial prices, which price
combinations of items beyond just single items, and gradually extends price
expressivity as the rounds progress. We also propose a heuristic approach to
winner determination to ensure the auction scales. An experimental evaluation
shows that our auction is competitive with bundle-price auctions in regimes
where these excel, namely multi-minded valuations, but also performs well in
regimes favorable to linear prices, such as valuations with pairwise synergy.
TB24