Optimal maintenance strategy on medical instruments used for haemodialysis process

• Autorzy: Tan Cher Ming , Narula Udit , Lai Lu An , Pandey Sumit , Tung Jung Hua , Yi Li Chung

Identyfikatory

DOI

10.17531/ein.2019.2.17

Warianty tytułu

PL

Optymalna strategia konserwacji urządzeń medycznych wykorzystywanych w procesie hemodializy

• Języki publikacji: EN

Abstrakty

EN

Haemodialysis machines are one of the important medical equipment which is used to treat renal failures and minimum downtimes are thus essential. Uninterrupted and constant use of these machines in hospitals worldwide makes them vulnerable to failures if not maintained properly. Consequently, the maintenance cost for dialysis machine is high. A method to implement a cost effective maintenance strategy is demonstrated in this work. Root Cause Based Maintenance (RCBM) strategy is employed at the component level to optimize the Reliability Based Maintenance schedules derived from the existing maintenance and failure data. In order to minimize the average cost of maintenance for Haemodialysis machines and ensure their high operational availability, a Cost-Model is derived, and Genetic Algorithm is employed for optimization in this work. The application of RCBM strategy results in cost saving of about 60% of the cost incurred using current maintenance scheme. Statistical and optimization calculations are performed using Reliasoft’s Weibull++ and MATLAB tools respectively.

PL

Aparaty do hemodializy to ważne urządzenia medyczne wykorzystywane w leczeniu niewydolności nerek, dlatego ich przestoje muszą być jak najkrótsze. Ciągłe, nieprzerwane korzystanie z tych urządzeń w szpitalach na całym świecie sprawia, że, w przypadku braku właściwej konserwacji, są one podatne na awarie. W związku z tym koszty konserwacji aparatów do dializy są wysokie. W prezentowanej pracy przedstawiono metodę wdrażania ekonomicznej strategii konserwacji. Wykorzystano strategię konserwacji opartą na analizie przyczyn źródłowych uszkodzenia (RCBM). Zastosowano ją na poziomie części składowych w celu optymalizacji harmonogramów konserwacji opartej na niezawodności (RBM) tworzonych na podstawie istniejących danych dotyczących konserwacji i uszkodzeń. Aby móc zminimalizować średni koszt konserwacji aparatów do hemodializy i zapewnić ich wysoką gotowość operacyjną, opracowano model kosztowy, a optymalizację przeprowadzono za pomocą algorytmu genetycznego. Zastosowanie strategii RCBM daje około 60-procentową oszczędność kosztów, jakie ponosi się przy użyciu obecnie wykorzystywanego programu konserwacji. Obliczenia statystyczne i optymalizacyjne wykonano, odpowiednio, przy użyciu oprogramowania Weibull ++ i MATLAB firmy Reliasoft.

Słowa kluczowe

EN

reliability based maintenance; dialysis machines; genetic algorithm; reliability analysis; statistical distributions; operational availability

PL

konserwacja oparta na niezawodności; aparaty do dializy; algorytm genetyczny; analiza niezawodności; rozkłady statystyczne; gotowość operacyjna

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2019
• Tom: Vol. 21, no. 2
• Strony: 318--328
• Opis fizyczny: Bibliogr. 41 poz., rys., tab.

Twórcy

autor

Tan Cher Ming

• Center for Reliability Sciences & Technologies, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302
• Department of Electronic Engineering, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

autor

Narula Udit

• Center for Reliability Sciences & Technologies, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

autor

Lai Lu An

• Center for Reliability Sciences & Technologies, Chang Gung University Department of Electronic Engineering, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

autor

Pandey Sumit

• Center for Reliability Sciences & Technologies, Chang Gung University Department of Electronic Engineering, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

autor

Tung Jung Hua

• Center for Reliability Sciences & Technologies, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

autor

Yi Li Chung

• Center for Reliability Sciences & Technologies, Chang Gung University Department of Electronic Engineering, Chang Gung University No. 259, Wen-Hua 1st Road, Guishan District, Taoyuan City, Taiwan, ROC 33302

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