Abstract
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.
Highlights
Medical technology has witnessed rapid strides in the modern world which is a result of sophisticated and yet fascinating advancement in the medical methods and procedures
Advanced medical equipment has become an indispensable tool for modern medical procedures by virtue of which, most of the diagnosis and treatment are highly dependent on this equipment
The annual revenue for medical technology industry is worth half a trillion US dollars [13, 33] which shows the extensive use of medical equipment in modern medical facilities
Summary
Medical technology has witnessed rapid strides in the modern world which is a result of sophisticated and yet fascinating advancement in the medical methods and procedures. PM and CM has been employed for general medical equipment [16, 19, 23, 25] but their implementation lacks simplicity and cost-effectiveness [21, 24] Contrary to these maintenance strategies, Predictive Maintenance (PdM) [4, 40] is known to be more viable and effective method [6,26] which has been applied to various applications such as railway network [6], diode lasers [30], aircraft [36, 37], high yield etching process [10, 16, 38] etc. Post and pre-dialytic urea concentration are required to evaluate URR, and urea clearance, dialysing time and distribution volume are required to calculate Kt/V All these are dependent more on the patients’ conditions rather than the Haemodialysis machine itself. The maintenance cost reduced to approximately 40% of the original with the implementation of the RCBM strategy
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