Optimisation of medical equipment replacement using stochastic dynamic programming

Altalabi, Waleed M.; Rushdi, Muhammad A.; Tawfik, Bassel M

doi:10.1080/03091902.2020.1799096

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…The sequence of arcs at the lowest cost is the optimal solution. Over time, the logic of the net visualization combined with DP has been applied to a large variety of equipment replacement applications (Abensur, 2015;Abensur et al, 2019;Adil & Gill, 1994;Ahmed, 1973;Altalabi et al, 2020a;Altalabi et al, 2020b;Bector et al, 2013;Bohner, 1994;Chukwunenye, 2016a, b;D'Aversa & Shapiro, 1978;Dreyfus, 1957Dreyfus, , 1960Espiritu & Coit, 2008a, b;Fan et al, 2011Fan et al, , 2012Fan et al, , 2013Fan et al, , 2014Fawcet & Forero, 2019;Feng & Figliozzi, 2012Gress et al, 2012;Hartman, 1998Hartman, , 1999Hartman, , 2000Hartman, , 2001Hartman & Hartman, 2001;Hartman & Murphy, 2006;Hartman & Rogers, 2006;Leung, 1983;Leung & Tanchoco, 1983, 1986Marques et al, 2005;Rahmawati & Shahab, 2019;Schwartz et al, 1971;Swathi, 2020;Tanchoco & Leung, 1987;Waddell, 1983;Whitin, 1968;Zvipore et al, 2015). Hartman & Murphy (2006) presented a new DP formulation for ERP in an analogy with the classic knapsack problem.…”

Section: The Network Visualization Approachmentioning

confidence: 99%

“…Thus, ERP is a multi-stage solution search problem that involves the cash flow manipulation of two or more assets simultaneously. All business fields (aviation, maritime, railway, agriculture, computing, telecommunications, and medical centers) have examples of the application of ERP (Abensur, 2015;Abensur et al, 2019;Altalabi et al, 2020a;Altalabi et al, 2020b;Alves, 2020;Chenna, 2010;Espiritu & Coit, 2008a, b;Ezekafor et al, 2015;Fawcet & Forero, 2019;Feng & Figliozzi, 2012Grano & Abensur, 2017;Leung, 1983;Leung & Tanchoco, 1986;Marques et al, 2005;Paolanti et al, 2018;Schwartz et al, 1971;Zvipore et al, 2015). Source: adapted from Abensur (2015).…”

Section: Introductionmentioning

confidence: 99%

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Optimization models as applied to equipment replacement problems: review and trends

Abensur,

Santos,

Bandeira

2023

Gest. Prod.

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Equipment replacement is a definitive and relevant engineering decision. The aim of this work was to identify and organize the mathematical optimization proposals and solution search techniques that have contributed toward solving this problem. As a result, we classified the bibliographic materials we identified into seven distinct types of approaches. The work also provides an integrative overview of the level of complementarity of the categories we identified. The network visualization approach represented about 57% of the selected works and is still in use today. Nonetheless, since 2000 other approaches, such as fuzzy logic, real options, and machine learning have increased by 40% and become relevant current trends.

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Section: The Network Visualization Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization models as applied to equipment replacement problems: review and trends

Abensur,

Santos,

Bandeira

2023

Gest. Prod.

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“…In particular, to provide optimal medical services to patients, the periodic replacement of medical devices should be fulfilled at the right time in accordance with established standards and procedures. These medical device replacement methods include use -period assesment according to the purchase year, device replacement based on use-period and budget, and establishing an evaluation system for replacement and extracting the data by rank according to evaluation items ( 2 , 3 ).…”

Section: Introductionmentioning

confidence: 99%

How to calculate the life cycle of high-risk medical devices for patient safety

Seo¹,

Park

Lee

2022

Front. Public Health

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In this study, we analyzed Korean and foreign systems, focusing on high-risk medical devices that urgently need to be managed, and we present an life cycle calculation method for determining replacement time. A literature review was conducted to confirm the regulations of the medical device management system and life cycle by country, and a case analysis was performed to verify the replacement evaluation criteria of actual medical institutions. In addition, durability data from the Public Procurement Service, American Hospital Association, and Samsung Medical Center were used to calculate the life cycle of high-risk medical devices. The analysis showed that in the case of Korean and foreign medical device regulatory agencies, there were no specific life cycle regulations for high-risk medical devices. In addition, the important items in the medical device replacement evaluation were found to be the year of introduction, repair cost, component discontinuation, and several failures. On calculating the life cycle of high-risk medical devices revealed that the replacement time is 13 years for anesthesia machines, 14 years for defibrillators, 16 years for heart-lung machines, and 13 years for ventilators. To introduce a uniform medical device replacement standard and life cycle calculation method, the government will need to reorganize the medical device replacement laws and systems. In addition, in the case of medical institutions, it is necessary to secure patient safety by using expert groups to prepare specific life cycle standards that consider the characteristics of medical devices.

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Analyzing the Impact of Depreciation-Estimating Methods on State Transportation Agencies’ Equipment Replacement Decisions Using Dynamic Programming

et al. 2023

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Optimisation of medical equipment replacement using stochastic dynamic programming

Cited by 5 publications

References 19 publications

Optimization models as applied to equipment replacement problems: review and trends

Optimization models as applied to equipment replacement problems: review and trends

How to calculate the life cycle of high-risk medical devices for patient safety

Analyzing the Impact of Depreciation-Estimating Methods on State Transportation Agencies’ Equipment Replacement Decisions Using Dynamic Programming

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