Flexible scheduling of medical staff and resources / Fadwa Ahmed Mohammed Abdalrahman ; Supervised Ahmed M. Sayed Badawi , Muhammad Ali Rushdi
Material type: TextLanguage: English Publication details: Cairo : Fadwa Ahmed Mohammed Abdalrahman , 2018Description: 82 P. : charts ; 30cmOther title:- جدولة مرنة للموارد الطبية والطاقم الطبى [Added title page title]
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Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis | قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2018.Fa.F (Browse shelf(Opens below)) | Not for loan | 01010110078075000 | |||
CD - Rom | مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2018.Fa.F (Browse shelf(Opens below)) | 78075.CD | Not for loan | 01020110078075000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
For the last decades, many countries have been looking for systematic ways to reduce the national healthcare expenditure. As surgeries costs a lot, all hospital administrators aim to deliver the best healthcare with the available limited resources and with the lowest costs. Planning and scheduling the surgeries and medical staff have become a major goal of hospital administrators to optimize the management and utilization of medical resources. In this work, mixed integer-linear programming models have been investigated for the scheduling of listed surgeries at different specialties with two priority grades, scheduling anesthetists over flexible shifts with flexible starting times and shift lengths. We investigated single and multi-objective formulations with criteria of cost, physician's preferences, or their combinations with weighting parameters. We can schedule all the surgeries with priority grade of 1 and more than 57% of the surgeries of a priority grade of 2.We decreased number of anesthetists, achieving more than 43% of anesthetists' preferences for their shift starting times and more than 57% for their preferences for the surgeries
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