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Optimization of medical equipment replacement strategies / Waleed Mohammed Mohammed Altalabi ; Supervised Bassel M. Tawfik , MuhammadA. Rushdi

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Waleed Mohammed Mohammed Altalabi , 2020Description: 71 P. : charts , facimiles ; 30cmOther title:
  • تحسين استراتيجية استبدال الأجهزة الطبية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: In this dissertation, we use dynamic programming to optimize medical equipment replacement strategies.Two models of medical equipment replacement were developed using multistage deterministic dynamic programming (DDP), and multistage stochastic dynamic programing (SDP) methods.The outcome is an optimal path which shows whether to keep an existing piece of medical equipment (defender) or replace it with a more economical alternative (challenger) for several revenue and depreciation scenarios. For each scenario, we estimated the optimal-sequence benefit as the difference between the highest returns (or the lowest costs) and returns (costs) of keeping the medical equipment until the end of its expected life. In addition, we investigated this benefit for the scenarios of no revenue for the defender and the challenger, the scenario of equal revenues for both, and the scenario of higher revenue for the challenger
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2020.Wa.O (Browse shelf(Opens below)) Not for loan 01010110081391000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.03.Ph.D.2020.Wa.O (Browse shelf(Opens below)) 81391.CD Not for loan 01020110081391000

Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

In this dissertation, we use dynamic programming to optimize medical equipment replacement strategies.Two models of medical equipment replacement were developed using multistage deterministic dynamic programming (DDP), and multistage stochastic dynamic programing (SDP) methods.The outcome is an optimal path which shows whether to keep an existing piece of medical equipment (defender) or replace it with a more economical alternative (challenger) for several revenue and depreciation scenarios. For each scenario, we estimated the optimal-sequence benefit as the difference between the highest returns (or the lowest costs) and returns (costs) of keeping the medical equipment until the end of its expected life. In addition, we investigated this benefit for the scenarios of no revenue for the defender and the challenger, the scenario of equal revenues for both, and the scenario of higher revenue for the challenger

Issued also as CD

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