2015 Informs Annual Meeting

MB42

INFORMS Philadelphia – 2015

3 - Resource Pooling and Flexibility to Improve Ed Boarding Aaron Ratcliffe, Assistant Professor, University of North Carolina at Greensboro, 438 Bryan Building, P.O. Box 26170, Greensboro, NC, 27402, United States of America, aaron.ratcliffe@uncg.edu, Alex Mills ED boarding worsens health outcomes and compromises hospital care. We investigate how resource pooling can improve ED boarding by aligning ED admissions with inpatient discharges using a dynamic queueing control model. We compare strategies which jointly manage inpatient resources under a traditional and pay-for-performance setting. 4 - Optimal Mobile Healthcare Delivery Aimed at Minimizing Social Healthcare Costs Jiu Song, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore, Jiusong@ntu.edu.sg, Fang Liu, Pengfei Guo, Yulan Wang Developing countries set up mobile health programs to improve public health service and people’s access to medical care in the remote regions. We model the disease progression following a discrete time Markov chain and focus on improving the efficiency of the mobile healthcare delivery system. We identify conditions under which mobile healthcare is beneficial, and find the optimal duration a mobile hospital visits a community. We provide some managerial insights through numerical study. MB42 42-Room 102B, CC Joint Session MSOM-Health/HAS: Designing Healthcare Systems to Improve Patient and Provider Experience Sponsor: Manufacturing & Service Oper Mgmt/Healthcare Operations Sponsored Session Chair: Vera Tilson, Simon School of Business, University of Rochester, Rochester, NY, 14627, United States of America, vera.tilson@simon.rochester.edu 1 - Slow First, Fast Later: Empirical Evidence of Speed-up in Service Episodes of Finite Duration Aditya Jain, Baruch College, New York City, New York, NY, United States of America, aditya.jain@baruch.cuny.edu, Sarang Deo In service episodes of finite duration with time-varying dynamics, operating variables that affect work speed have not been rigorously studied. We employ the trade-off faced by workers between cost of providing service and cost of customer wait to identify two previously unexplored drivers of work speedótime within the episode and anticipated remaining workload. We empirically test our predictions using data from a high volume, tertiary care outpatient department. 2 - Designing a Network of Accident-and-emergency Facilities to Improve Cost Efficiency for the Elderly Houyuan Jiang, University Senior Lecturer, University of Cambridge, Judge Business School, Cambridge, United Kingdom, h.jiang@jbs.cam.ac.uk, Manmohan Sodhi We concern ourselves with the elderly in an Accident-and-Emergency system. The system, while already stressed with a rapidly increasing load, faces an increasing percentage of the elderly as in many other countries, and closure of facilities due to costs. We characterize the sufficient and necessary conditions for one Accident-and-Emergency to have a split or pooled system and for a network of two Accident-and-Emergency departments to be merged or operated separately. 3 - Dynamic Exam Room Allocation to Improve Patient Wait Time and Provider Satisfaction Sarah Kadish, Director Performance Measures And Improvement, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA, 02215, United States of America, Sarah_Kadish@dfci.harvard.edu, Beth Overmoyer, Kristen Camuso, Courtney Haskett, Chris Reilly, Lillian Pedulla, Craig Bunnell Allocation of exam rooms drives capacity, provider efficiency, and patient wait time. We sought to improve our algorithm for allocating rooms from a static provider-to-room ratio to a dynamic model, utilizing a Real-Time Locating System. Post-implementation, 83% of providers reported the rooming process was efficient compared with 43% at baseline, corroborated by a statistically significant reduction in patient wait time.

4 - Regional Routing Model for Healthcare Pickup and Delivery Networks

Joseph Szmerekovsky, Professor Of Management, North Dakota State University, Richard H. Barry Hall, # 350, Fargo, ND, 58108, United States of America, joseph.szmerekovsky@ndsu.edu, Luke Holt We study a healthcare distribution network with delivery deadlines. It involves a large geographic road network visiting hospitals, clinics, and long-term care facilities. Supply chain planners are forced to determine route schedules that provide appropriate service levels while considering time constraints. We present a vehicle routing model that minimizes the system costs associated with vehicle routes. MB43 43-Room 103A, CC Innovation, Technology Management and Networks Sponsor: Revenue Management and Pricing Sponsored Session Chair: Nur Sunar, Assistant Professor, University of North Carolina, Kenan-Flagler School of Business, Chapel Hill, United States of Asu Ozdaglar, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, MA, United States of America, asuman@mit.edu, Yongwhan Lim, Alex Teytelboym We consider a stochastic linear threshold model of cascades in networks. We define a new measure of an agent’s ability to influence a cascade in a given network, called cascade centrality, which is the expected size of the cascade when the agent is the only seed in the network. We provide analytical characterizations of cascade centrality for certain network topologies. We also study a competition model in which firms seed their products and products diffuse according to the threshold model. 2 - Risk Aversion, Information Acquisition, and Technology Adoption We study the impact of risk aversion and uncertainty on technology adoption decisions using a dynamic programming model: in each period, the consumer may adopt or reject the technology or pay to acquire a signal about the technology’s uncertain benefit. With risk neutrality, the value functions and optimal policies satisfy natural monotonicity properties. However, with risk aversion, the policies need not be monotonic unless we impose additional assumptions on the utility functions involved. 3 - Innovation Internalization in Technology-intensive Supply Chains We study supply chains where technology is a critical determinant of product success and is often licensed from upstream firms by downstream supply chain entities through a royalty contract. We investigate the impacts of two prevalent royalty bases, Full System Base(FSB) and Sub System Base(SSB). We derive optimal royalty approaches for different market settings. FSB, despite its similarity to revenue sharing, is not always pareto-efficient in technology supply chains. 4 - Dynamic Product Development and Optimal Launch for a Customer Network Nur Sunar, Assistant Professor, University of North Carolina, Kenan-Flagler School of Business, Chapel Hill, NC, United States of America, Nur_Sunar@kenan-flagler.unc.edu, Sinit Vitavasiri, John Birge Development and the launch of products with network externalities require a deep understanding of social or commercial relationships among customers. Using a continuous time Brownian model, we analyze the optimal dynamic product development and launch strategies of a firm that sells an indivisible product to a network of customers. Our analysis shows that the network structure has a drastic impact on the optimal product quality and timing of the product launch. James Smith, Duke University, Fuqua School of Business, Durham, NC, United States of America, jes9@duke.edu, Canan Ulu Vish Krishnan, UCSD, La Jolla, CA, 92037, United States of America, vkrishnan@ucsd.edu, Junghee Lee, Hyoduk Shin America, Nur_Sunar@kenan-flagler.unc.edu 1 - A Simple Model of Cascades in Networks

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