2016 INFORMS Annual Meeting Program

MC64

INFORMS Nashville – 2016

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, hilal.atasoy@temple.edu 1 - Antecedents And Consequences Of Electronic Medical Record System Changes Kartik Krishna Ganju, Temple University, tuc67632@temple.edu 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, changmi@jhu.edu 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, avi.seidmann@simon.rochester.edu, 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, Jingshan.li@wisc.edu 1 - A Decentralized Stay-time Based Occupant Distribution Estimation Method For Buildings Qing-Shan Jia, Tsinghua University, jiaqs@mail.tsinghua.edu.cn 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, wenj@rpi.edu 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.

2 - An Integrated Framework For Military Airlift Planning James Jones, MIT Lincoln Laboratory, James.Jones@ll.mit.edu 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, kashbarker@ou.edu 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, dgamades@stevens.edu, 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, mattm@ou.edu, 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, mgwhitman@ou.edu, 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, nazanin.morshedlou@ou.edu 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.

204