Search Results - "Van Oyen, Mark P."

Structural Flexibility: A New Perspective on the Design of Manufacturing and Service Operations by Iravani, Seyed M, Van Oyen, Mark P, Sims, Katharine T

“…In this paper, we present a new perspective on flexibility in manufacturing and service operations by exploring a type of operational flexibility that we term…”
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Personalized Prediction of Glaucoma Progression Under Different Target Intraocular Pressure Levels Using Filtered Forecasting Methods by Kazemian, Pooyan, Lavieri, Mariel S., Van Oyen, Mark P., Andrews, Chris, Stein, Joshua D.

“…To generate personalized forecasts of how patients with open-angle glaucoma (OAG) experience disease progression at different intraocular pressure (IOP) levels…”
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Compensating for Dynamic Supply Disruptions: Backup Flexibility Design by Saghafian, Soroush, Van Oyen, Mark P.

“…To increase resilience in supply chains, we investigate the optimal design of flexibility in a backup system. We model the dynamics of disruptions as Markov…”
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Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system by Kim, Eungab, Saghafian, Soroush, Van Oyen, Mark P.

“…•We study a hybrid system with manufacturing, remanufacturing, and disposal controls.•The joint optimal policy is characterized in a continuous inventory…”
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Design and Analysis of Hospital Admission Control for Operational Effectiveness by Helm, Jonathan E., AhmadBeygi, Shervin, Van Oyen, Mark P.

“…Variability in hospital occupancy negatively impacts the cost and quality of patient care delivery through increased emergency department (ED) congestion,…”
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Predicting rapid progression phases in glaucoma using a soft voting ensemble classifier exploiting Kalman filtering by Jones, Isaac A., Van Oyen, Mark P., Lavieri, Mariel S., Andrews, Christopher A., Stein, Joshua D.

“…In managing patients with chronic diseases, such as open angle glaucoma (OAG), the case treated in this paper, medical tests capture the disease phase (e.g…”
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Benefits of Skill Chaining in Serial Production Lines with Cross-Trained Workers by Hopp, Wallace J, Tekin, Eylem, Van Oyen, Mark P

“…To gain insight into the potential logistical benefits of worker cross-training and agile workforce policies, we study simple models of serial production…”
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Using Filtered Forecasting Techniques to Determine Personalized Monitoring Schedules for Patients with Open-Angle Glaucoma by Schell, Greggory J., MSE, Lavieri, Mariel S., PhD, Helm, Jonathan E., PhD, Liu, Xiang, BSE, Musch, David C., PhD, MPH, Van Oyen, Mark P., PhD, Stein, Joshua D., MD, MS

“…Purpose To determine whether dynamic and personalized schedules of visual field (VF) testing and intraocular pressure (IOP) measurements result in an…”
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Call-center labor cross-training: Its a small world after all by Iravani, Seyed M. R, Kolfal, Bora, Van Oyen, Mark P

“…It is well known that flexibility can be created in manufacturing and service operations by using multipurpose production sources such as cross-trained labor,…”
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Coordinated and Priority‐Based Surgical Care: An Integrated Distributionally Robust Stochastic Optimization Approach by Keyvanshokooh, Esmaeil, Kazemian, Pooyan, Fattahi, Mohammad, Van Oyen, Mark P.

“…We study a coordinated clinic and surgery appointment scheduling problem for in‐advance scheduling of surgical patients. Our models seek to provide timely…”
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Design and Optimization Methods for Elective Hospital Admissions by Helm, Jonathan E., Van Oyen, Mark P.

“…Hospitals typically lack effective enterprise level strategic planning of bed and care resources, contributing to bed census levels that are statistically “out…”
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Patient Streaming as a Mechanism for Improving Responsiveness in Emergency Departments by Saghafian, Soroush, Hopp, Wallace J., Van Oyen, Mark P., Desmond, Jeffrey S., Kronick, Steven L.

“…Crisis-level overcrowding conditions in emergency departments (EDs) have led hospitals to seek out new patient-flow designs to improve both responsiveness and…”
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Distribution of Medication Considering Information, Transshipment, and Clustering: Malaria in Malawi by Parvin, Hoda, Beygi, Shervin, Helm, Jonathan E., Larson, Peter S., Van Oyen, Mark P.

“…Malaria is a major health concern for many developing countries. Designing strategies for efficient distribution of malaria medications, such as Artemesinin…”
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Quantile regression forests for individualized surgery scheduling by Dean, Arlen, Meisami, Amirhossein, Lam, Henry, Van Oyen, Mark P., Stromblad, Christopher, Kastango, Nick

“…Determining the optimal surgical case start times is a challenging stochastic optimization problem that shares a key feature with many other healthcare…”
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Access planning and resource coordination for clinical research operations by Deglise-Hawkinson, Jivan, Kaufman, David L, Roessler, Blake, Van Oyen, Mark P

“…This research creates an operations engineering and management methodology to optimize a complex operational planning and coordination challenge faced by sites…”
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A Capacity Allocation Planning Model for Integrated Care and Access Management by Deglise‐Hawkinson, Jivan, Helm, Jonathan E., Huschka, Todd, Kaufman, David L., Van Oyen, Mark P.

“…The prevailing first‐come‐first‐served approach to outpatient appointment scheduling ignores differing urgency levels, leading to unnecessarily long waits for…”
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Surgery scheduling with recovery resources by Bam, Maya, Denton, Brian T, Van Oyen, Mark P, Cowen, Mark E

“…Surgical services are large revenue sources that account for a large portion of hospital expenses. Thus, efficient resource allocation is crucial in this…”
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Using Kalman Filtering to Forecast Disease Trajectory for Patients With Normal Tension Glaucoma by Garcia, Gian-Gabriel P., Nitta, Koji, Lavieri, Mariel S., Andrews, Chris, Liu, Xiang, Lobaza, Elizabeth, Van Oyen, Mark P., Sugiyama, Kazuhisa, Stein, Joshua D.

“…To determine whether a machine learning technique called Kalman filtering (KF) can accurately forecast future values of mean deviation (MD), pattern standard…”
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Dynamic Monitoring and Control of Irreversible Chronic Diseases with Application to Glaucoma by Kazemian, Pooyan, Helm, Jonathan E., Lavieri, Mariel S., Stein, Joshua D., Van Oyen, Mark P.

“…To manage chronic disease patients effectively, clinicians must know (i) how to monitor each patient (i.e., when to schedule the next visit and which tests to…”
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Dynamic Forecasting and Control Algorithms of Glaucoma Progression for Clinician Decision Support by Helm, Jonathan E., Lavieri, Mariel S., Van Oyen, Mark P., Stein, Joshua D., Musch, David C.

“…In managing chronic diseases such as glaucoma, the timing of periodic examinations is crucial, as it may significantly impact patients’ outcomes. We address…”
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