2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
447
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Mockingbird 1- Omni
Health IT
Sponsored: Information Systems
Sponsored Session
Chair: Changmi Jung, Johns Hopkins University, Johns Hopkins
University, Baltimore, MD, 21202, United States,
1 - Analyzing Interactions Between Social And Technical Systems:
A Retrospective Study In The Pediatric Environment
Yi-Chin Kato-Lin, Hofstra University, Hempstead, NY,
United States,
Using the lens of Socio-technical theory, we examine the effect of digitization of
individual pain plans (IPP) on process outcomes of care delivery for patients with
sickle cell disease, and the interactions between digitized IPP and care delivery
teams. We found improved care coordination and satisfaction, unaltered usage
behavior among physicians, and an unexpected, negative opinion among nurses
that might explain the neutral/negative process outcomes after the digitization.
Our results provide new insights into the important and inconclusive debate
about the diverse impacts of HIT.
2 - Dynamics Of Social Influence On New Employees’ Use Of
Volitional Is: m-EHR Case In Hospital Setting
Sanghee Lim, The Johns Hopkins University Carey Business
School, 100 International Drive, Baltimore, MD, United States,
, Juntae Kim, Byungtae Lee, Jae-ho Lee,
Yura Lee
We investigate the effect of social influences on m-EHR usage by new doctors
who recently began working at a hospital. Drawing upon the concept of
organizational socialization and social influences, we hypothesize that coworkers’
m-EHR usage is positively associated with one by new doctors, and the strength
of this association varies by the coworkers’ type of usage, by the hierarchical
rankings of coworkers, and by the stage of socialization process in which the new
doctors are situated. Our analyses using longitudinal m-EHR usage data generally
support our hypotheses.
3 - Does Health Information Technology Change The Prospect Of
Continuity Of Care?
Changmi Jung, Johns Hopkins University,
Continuity of care has long been the core element in healthcare discussion
particularly concerning the improvement of care quality and patient health
outcome. However, the emergence of healthcare information technology (HIT) is
changing the landscape. As an enabler to comprehensive data storage and
immediate information retrieval, HIT is filling the gap in the degree of available
information, and thus, empowers more seamless care from end to end. In this
study, we examine the effect of HIT on the patient health outcome and the extent
of continuity of care in the hospitals in Maryland. Also, we explore the impact of
the change in the degree of continuity of care on the patient health outcome.
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Mockingbird 2- Omni
Novel Approaches in Reliability Modeling
and Analysis
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Tugce Martagan, Eindhoven University of Technology, P.O. Box
513 5600 MB, Eindhoven, N/A, Netherlands,
Co-Chair: Murat Kurt, Merck & Co., Inc., TBD, North Wales, PA,
19454, United States,
1 - Reliability Sensitivity Analysis Based On Kriging Metamodel And
Importance Sampling
Juan Wang, Nanjing University of Science and Technology,
Due to the lack of the gradient information, the reliability sensitivity analysis can’t
be implemented in an analytical manner.Therefore we proposed a simulation-
based sensitivity method. It is suggested to compute the failure probability by the
combination of Kriging model and importance sampling at first, and then the
estimator of failure probability is differentiated through the score function
approach. The calculation of failure probability resort to the construction of an
accurate Kriging surrogate of the limit state function, and score function approach
enables the estimation of the gradient of the failure probability without any
additional evaluation to the limit state function.
2 - Optimize The Prognostic Performance Of Data-level
Fusion Approach
Changyue Song, University of Wisconsin - Madison, Madison, WI,
United States, Kaibo Liu
Multiple sensors have been widely employed to monitor the degradation status of
a unit. Since each sensor signal contains partial and dependent information, data-
level fusion methods have been proposed to combine the information and make
decision on the remaining useful life. Existing data-level fusion methods are
mainly based on experience and still lack theoretical basis to ensure their
prognostic performance. To fill the literature gap, this paper proposes a novel
data-level fusion approach with the following features: 1) It ensures the
prognostic performance; 2) It allows varying parameters for different units; 3) The
training and testing procedures are integrated.
3 - Optimal Reliability And Commonality In Component Design:
A Service Logistics Perspective
Geert-Jan van Houtum, Eindhoven University of Technology,
Eindhoven, Netherlands, , Joni Driessen,
Joachim Jacob Arts
An Original Equipment Manufacturer sells multiple types of machines to groups
of customers under full service contracts. For one component, we consider the
design choice between one common component for all machine types and a
dedicated component per machine type. We compare the Life Cycle Costs and
find general conditions for the optimality of choosing a common and dedicated
component, respectively. For a third area, numerical work has to show what is
optimal. We also show how these areas behave as a function of numbers of sold
machines and the commonality cost factor.
4 - Economic Design Of Run To Failure Binary State K Out Of N
Systems With Identical Components And Geometrically
Distributed Lifetimes
Tugce Martagan, Eindhoven University of Technology,
, Murat Kurt
K-out-of-N systems represent integrated collection of N individual units of which
at least K of them are required to function for the system to survive; and have
broader ability to model the operating structure of complex industrial systems. We
consider the design of run-to-failure K-out-of-N systems consisting of identical
components with geometrically distributed lifetimes under total and average cost
criteria. We propose exact and faster approximate approaches to minimize the
total cost due to operation, design and failure of the system and derive managerial
insights from numerical analyses.
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Mockingbird 3- Omni
Decision Models in Risk, Reliability and Maintenance
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Adiel T. de Almeida-Filho, Assistant Professor, Universidade
Federal de Pernambuco, Caixa Postal 7471, Cordeiro, Recife, 50630971,
Brazil,
1 - Data Fusion For Degradation Modeling In Multi-edged
Machining Processes
Wenmeng Tian, Virginia Tech, 250 Durham Hall, Blacksburg, VA,
24061, United States, , Jaime Camelio
Tool wear is a widely used direct degradation measure of machining process, and
can be measured from the cutting edges using machine vision system. Though
there are methods available for single-edge machining process, degradation
modeling for a multi-edged machining process using mixed-type data is still a
challenge. This work proposes a novel scheme for degradation modeling and
prognostics of multi-edged machining process by fusing mixed-type sensor data,
including images and process signals. A broaching process is used as a case study
to illustrate the effectiveness of the proposed approach.
2 - An MCDM Model For Maintenance Outsourcing
Felipe Macedo de Morais Pinto, Universidade
Federal de Pernambuco, Recife, 50630971, Brazil,
, Adiel Teixeira De Almeida Filho
This work presents an MCDM approach for a maintenance outsourcing decisions,
which including contract selection and supplier selection. Given the MCDM
nature of maintenance outsourcing, models to address this problem include
maintainability, dependability, quality of repair besides cost, which are detailed in
the reference Multicriteria and Multiobjective Models for Risk, Reliability and
Maintenance Decision Analysis.
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