Výsledky vyhledávání - "Karmel S. Shehadeh"

An inexact column-and-constraint generation method to solve two-stage robust optimization problems

Autor: Man Yiu Tsang, Karmel S. Shehadeh, Frank E. Curtis

Publikováno v: Operations Research Letters. 51:92-98

We propose a new inexact column-and-constraint generation (i-C&CG) method to solve two-stage robust optimization problems. The method allows solutions to the master problems to be inexact, which is desirable when solving large-scale and/or challengin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e8298145e2ac82fa96bfaf40a85a23e
https://doi.org/10.1016/j.orl.2022.12.002

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Distributionally Robust Optimization Approaches for a Stochastic Mobile Facility Fleet Sizing, Routing, and Scheduling Problem

Autor: Karmel S. Shehadeh

Publikováno v: Transportation Science. 57:197-229

We propose two distributionally robust optimization (DRO) models for a mobile facility (MF) fleet-sizing, routing, and scheduling problem (MFRSP) with time-dependent and random demand as well as methodologies for solving these models. Specifically, g

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500a8ea25cc6d962f7c590a987786442
https://doi.org/10.1287/trsc.2022.1153

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Regression and Random Forest Machine Learning Have Limited Performance in Predicting Bowel Preparation in Veteran Population

Autor: Stacy B. Menees, Amy M. Cohn, Sameer D. Saini, Rachel Lipson, Alex N. Kokaly, Andrew J. Read, Karmel S. Shehadeh, Jacob E. Kurlander, Akbar K. Waljee

Publikováno v: Digestive Diseases and Sciences. 67:2827-2841

Inadequate bowel preparation undermines the quality of colonoscopy, but patients likely to be affected are difficult to identify beforehand. This study aimed to develop, validate, and compare prediction models for bowel preparation inadequacy using c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4456209511adee2d39436d875fa20b9b
https://doi.org/10.1007/s10620-021-07113-z

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A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity

Autor: Karmel S. Shehadeh, Rema Padman

Publikováno v: European Journal of Operational Research. 290:901-913

In this paper, we study the decision process of assigning elective surgery patients to available surgical blocks in multiple operating rooms (OR) under random surgery durations, random postoperative length-of-stay in the intensive care unit (ICU), an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::519bffbbcfdae623c4e76d167503de26
https://doi.org/10.1016/j.ejor.2020.09.001

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Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty

Autor: Faisal Alkaabneh, Karmel S. Shehadeh, Ali Diabat

Publikováno v: Transportation Research Part C: Emerging Technologies. 149:104023

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec84ef6392212bd0e63844f91d4ef0ba
https://doi.org/10.1016/j.trc.2023.104023

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Using stochastic programming to solve an outpatient appointment scheduling problem with random service and arrival times

Autor: Karmel S. Shehadeh, Amy M. Cohn, Ruiwei Jiang

Publikováno v: Naval Research Logistics (NRL). 68:89-111

We study a stochastic outpatient appointment scheduling problem (SOASP) in which we need to design a schedule and an adaptive rescheduling (i.e., resequencing or declining) policy for a set of patients. Each patient has a known type and associated pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc89192d31c2991700cf7b14b815de66
https://doi.org/10.1002/nav.21933

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A distributionally robust optimization approach for outpatient colonoscopy scheduling

Autor: Amy M. Cohn, Ruiwei Jiang, Karmel S. Shehadeh

Publikováno v: European Journal of Operational Research. 283:549-561

We consider the outpatient colonoscopy scheduling problem, recognizing the impact of pre-procedure bowel preparation (prep) quality on the variability in colonoscopy duration. Data from a large academic medical center indicates that colonoscopy durat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4ede162b36fd607b24d2c74d50b11bee
https://doi.org/10.1016/j.ejor.2019.11.039

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Development and Application of a Comprehensive Measure of Access to Health Services to Examine COVID-19 Health Disparities

Autor: Fathima Wakeel, Haiyan Jia, Lifang He, Karmel S. Shehadeh, Lucy E. Napper

Publikováno v: Healthcare
Volume 11
Issue 3
Pages: 354

Research on access to health services during the COVID-19 pandemic is limited, and the conceptualization of access has not typically included access to community resources. We developed and tested an access-to-health-services measure and examined dis

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2cc095778d134478bfa15ac54837f80
https://doi.org/10.3390/healthcare11030354

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Stochastic optimization models for location and inventory prepositioning of disaster relief supplies

Autor: Karmel S. Shehadeh, Emily L. Tucker

Publikováno v: Transportation Research Part C: Emerging Technologies. 144:103871

We consider the problem of preparing for a disaster season by determining where to open warehouses and how much relief item inventory to preposition in each. Then, after each disaster, prepositioned items are distributed to demand nodes during the po

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1363a77ecd02fda6c2021192999c3b1e
https://doi.org/10.1016/j.trc.2022.103871

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