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Optimal maintenance strategy on medical instruments used for haemodialysis process
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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
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
Publication date: 2019-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(2):318–328
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.
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