Although medical equipment maintenance has been well planned and executed for more than 30 years, very few studies have been conducted to measure and evaluate its effectiveness in terms of reliability and availability for service delivery. The ongoing unresolved debate in clinical engineering is whether preventive maintenance (PM) is actually necessary and, if so, how often and which tasks need to be performed. A mathematical maintenance modelling approach is used to analyse the survival probability of various medical equipment. This approach allows exploring the impact of PM, CM and combined PM/CM on the availability of equipment and will contribute to the intensified debate regarding PM. Maintenance strategies is analysed and a new failure-cost model was developed, which allows adopting appropriate PM intervals for various types of medical equipment. The analytical model to calculate the number of failures and costs associated with PM and CM is a significant contribution. The optimisation problem related to preventive maintenance scheduling using a Mixed-Integer Mathematical Programming solver was solved and compared to a proposed Greedy Algorithm. Simulation results based on the
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Dr. Khalaf is a senior lecturer in Clinical Engineering at (TUT) Tshwane University of Technology (2004-2013)South Africa and has 28 years of experience in Clinical Engineering and Health Technology Management.Qualifications: Ph.D./DTech(UVSQ/TUT)(France/South Africa), MTech (TUT), B.Sc. (METU)(Turkye)
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Although medical equipment maintenance has been well planned and executed for more than 30 years, very few studies have been conducted to measure and evaluate its effectiveness in terms of reliability and availability for service delivery. The ongoing unresolved debate in clinical engineering is whether preventive maintenance (PM) is actually necessary and, if so, how often and which tasks need to be performed. A mathematical maintenance modelling approach is used to analyse the survival probability of various medical equipment. This approach allows exploring the impact of PM, CM and combined PM/CM on the availability of equipment and will contribute to the intensified debate regarding PM. Maintenance strategies is analysed and a new failure-cost model was developed, which allows adopting appropriate PM intervals for various types of medical equipment. The analytical model to calculate the number of failures and costs associated with PM and CM is a significant contribution. The optimisation problem related to preventive maintenance scheduling using a Mixed-Integer Mathematical Programming solver was solved and compared to a proposed Greedy Algorithm. Simulation results based on the 124 pp. Englisch. N° de réf. du vendeur 9783639510850
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khalaf AbdelbasetDr. Khalaf is a senior lecturer in Clinical Engineering at (TUT) Tshwane University of Technology (2004-2013)South Africa and has 28 years of experience in Clinical Engineering and Health Technology Management.Qualif. N° de réf. du vendeur 4992854
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Although medical equipment maintenance has been well planned and executed for more than 30 years, very few studies have been conducted to measure and evaluate its effectiveness in terms of reliability and availability for service delivery. The ongoing unresolved debate in clinical engineering is whether preventive maintenance (PM) is actually necessary and, if so, how often and which tasks need to be performed. A mathematical maintenance modelling approach is used to analyse the survival probability of various medical equipment. This approach allows exploring the impact of PM, CM and combined PM/CM on the availability of equipment and will contribute to the intensified debate regarding PM. Maintenance strategies is analysed and a new failure-cost model was developed, which allows adopting appropriate PM intervals for various types of medical equipment. The analytical model to calculate the number of failures and costs associated with PM and CM is a significant contribution. The optimisation problem related to preventive maintenance scheduling using a Mixed-Integer Mathematical Programming solver was solved and compared to a proposed Greedy Algorithm. Simulation results based on theVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 124 pp. Englisch. N° de réf. du vendeur 9783639510850
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Although medical equipment maintenance has been well planned and executed for more than 30 years, very few studies have been conducted to measure and evaluate its effectiveness in terms of reliability and availability for service delivery. The ongoing unresolved debate in clinical engineering is whether preventive maintenance (PM) is actually necessary and, if so, how often and which tasks need to be performed. A mathematical maintenance modelling approach is used to analyse the survival probability of various medical equipment. This approach allows exploring the impact of PM, CM and combined PM/CM on the availability of equipment and will contribute to the intensified debate regarding PM. Maintenance strategies is analysed and a new failure-cost model was developed, which allows adopting appropriate PM intervals for various types of medical equipment. The analytical model to calculate the number of failures and costs associated with PM and CM is a significant contribution. The optimisation problem related to preventive maintenance scheduling using a Mixed-Integer Mathematical Programming solver was solved and compared to a proposed Greedy Algorithm. Simulation results based on the. N° de réf. du vendeur 9783639510850
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Taschenbuch. Etat : Neu. Mathematical Maintenance Model for Medical Equipment | Abdelbaset Khalaf (u. a.) | Taschenbuch | 124 S. | Englisch | 2013 | Scholars' Press | EAN 9783639510850 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 106087523
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