2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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2 - An Integrated Framework For Military Airlift Planning
James Jones, MIT Lincoln Laboratory,
As the sole manager of the United States’ global defense resources USTRANSCOM
is charged with the mission of routing military cargo and passengers across the
world. In this presentation we propose a simulation that integrates multiple
interacting airlift algorithms to enhance their scheduling and routing process at
the strategic and tactical levels.
This material is based upon work supported by USTRANSCOM under Air Force
Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Any opinions,
findings, conclusions or recommendations expressed in this material are those of
the author(s) and do not necessarily reflect the views of USTRANSCOM.
MC64
Cumberland 6- Omni
MCDM in Infrastructure Network Resilience Planning
Sponsored: Multiple Criteria Decision Making
Sponsored Session
Chair: Kash Barker, Associate Professor, University of Oklahoma,
202 W Boyd St, Rm. 124, Norman, OK, 73019, United States,
1 - Multiple Criteria Multidimensional Resilience Framework For
Disaster Evaluation
Dante Gama Dessavre, Stevens Institute of Technology, Castle
Point on Hudson, Hoboken, NJ, 07030, United States,
, Jose Emmanuel Ramirez-Marquez,
Andrea Garcia Tapia
System resilience refers to the ability to cope with adversities and be restored back
to a pre-disruption state. Resilience is a global concept that encompasses
reliability, vulnerability and restorability. This works presents a multiple criteria
system resilience formulation regarding this components, using a multi-event
resilience model. Showing preliminary results for a group of Mexican hydro-
meteorological disaster events, we show how this approach can enhance the
understanding of disaster consequences, therefore improving future decision
making in similar situations.
2 - Multi-criteria Formulation For Defending
Multi-commodity Networks
Matthew McCarter, University of Oklahoma, Norman, OK,
United States, Kash Barker
The vulnerability of a multi-commodity network to disruption is defined by the
extent to which commodities can no longer flow through the network to satisfy
demand. A multiobjective formulation and heuristic-driven decision support
environment is developed to find defense strategies that balance minimal cost
with an ability to maintain a high level of demand satisfaction across all
commodities. The solution approach is applied to a Swedish railway dataset.
3 - Component Criticality Analysis Of A Multi-commodity Network
Mackenzie G Whitman, University of Oklahoma, Norman, OK,
United States, , Kash Barker
Preparedness planning for critical infrastructure networks requires evaluating the
impact to the network when its components are disrupted. We extend the well-
studied problem of component importance measures in single-commodity
networks to multi-commodity networks by integrating a multi-commodity
optimization model with a multi-criteria decision analysis tool to evaluate the
impact of one-at-a-time component disruptions. We analyze commodity-specific
impacts on network performance of a Swedish railway system application to rank
critical links.
4 - Multi-criteria Formulation For Network Recovery Decision Making
Nazanin Morshedlou, University of Oklahoma,
Recent work has offered optimization formulations for optimal recovery of
infrastructure networks after a disruption. Building upon this literature, we
introduce a dynamic network component recovery rate, recognizing that recovery
speed may change (i) over time after recovery commences, and (ii) with the
assignment of different spatial work crews. Enhancing resilience, as well as other
objectives, is considered.
MC65
Mockingbird 1- Omni
Economics of Health Information Technology
Sponsored: Information Systems
Sponsored Session
Chair: Hilal Atasoy, Temple University, Fox School of Business,
Phialdelphia, PA, 19122, United States,
1 - Antecedents And Consequences Of Electronic Medical Record
System Changes
Kartik Krishna Ganju, Temple University,
The adoption of EMR systems has been found to have a number of organization
wide changes and is often met with resistance from users. Additionally, EMR
systems often do not meet all the requirements over time. Due to these reasons,
EMR systems are occasionally switched or abandoned. In this paper, we examine
the phenomenon of switching and abandoning EMR systems and identify the
impact of policy and hospital characteristics on EMR system switching and
abandonment. We first examine the role of the HITECH Act on changes of EMR
systems. We also examine the choices that hospitals make and if they choose to
adopt the market leader and the impact of these changes both during and outside
the purview of the HITEH Act.
2 - Impact Of Organizational Usage Experience On Service Operation
Efficiency: A Study Of Online Care Delivery
Changmi Jung, Johns Hopkins University,
Advanced online medical services are regarded as visiting physicians virtually in
an asynchronous way. If patients’ wait time in online is longer than what patients
experience in office visits, the service’s merit becomes undermined, and thus, the
organizations need to consider redesigning the service processes or the way they
integrate the service into their current operation. Also, if the newly introduced
service acquires high efficiency at the cost of the existing operation, the efficiency
gain might be offset. We examine the operational aspect of the online service,
specifically patients’ waiting time and work coordination among the members in
practices.
3 - Is Technology Eating Nurses? Staffing Decisions In
Nursing Homes
Abraham Seidmann, University of Rochester, Simon Business
School, Dir of OR Dept, Rochester, NY, 14627, United States,
Lu Feng, Huaxia Rui
We study the effect of IT-enabled automation on staffing decisions in healthcare
facilities. Our findings suggest that the impact of automation technology on
staffing decisions depends crucially on a facility’s strategic position in the local
marketplace.
MC66
Mockingbird 2- Omni
IEEE T-ASE Invited Session I
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Jingshan Li, University of Wisconsin-Madison, 1513 University
Ave, Madison, WI, 53706, United States,
1 - A Decentralized Stay-time Based Occupant Distribution
Estimation Method For Buildings
Qing-Shan Jia, Tsinghua University,
Zonal occupant level is of great practical interest for building energy saving and
fast evacuation. The problem is challenging due to the privacy concerns, the
random human movement, and the accumulative error. We consider this
important problem and focus on infrared beam systems that monitor the zonal
arrival and departure events. We make three contributions. First, a rule based on
the stay time is developed to reduce the accumulated estimation error in each
zone. Second, another rule is designed to coordinate the estimation among
neighboring zones. A decentralized estimation method is then developed. Third,
the advantage of this method is demonstrated through simulation results and field
tests.
2 - Collaborative Energy And Thermal Comfort Management Through
Distributed Consensus Algorithms
John Wen, RPI,
Buildings with shared spaces are occupied by multiple occupants typically with
have different temperature preferences. Using occupant-differentiated
dynamically-adjusted penalty factor as feedback signals, we propose a distributed
solution which ensures that a consensus is attained among all occupants upon
convergence, irrespective of their ideal temperature preferences being in
coherence or conflicting. We establish the convergence of the proposed algorithm
to the optimal temperature set-point that minimizes the sum of the energy cost
and the aggregate discomfort of all occupants in a multizone building.
MC64