Abstract
The present research mainly aims to use a mathematical formula to determine the optimal intervals for conducting preventive maintenance operations for machines to reduce the expected failure time when the malfunction data follow the Weibull distribution. The reliability function, failure rate, and the average time between machine failures were derived after performing preventive maintenance operations and before conducting preventive maintenance operations to state the amelioration that happens to machines. These rely on real data of performing preventive maintenance operations and the downtime required to repair machine or device faults that occur between preventive maintenance periods and the downtime necessary to perform preventive maintenance operations on the machine or device. Thus, the study concluded that preventive maintenance operations are working to increase the reliability of the machine and improve it, as well as to increase the average period of time for the machine to operate between faults.
Highlights
There is an interest in the failure times and the reasons behind the sudden malfunctions that devices are exposed to lead to increased costs and decreased production which in turn lead to significant human and material losses [1–7]. e importance of the reliability deals with the probability of a particular system performing a particular job for a specific period under the working conditions for which the system is designed
Rough Table 3, it is clear that the optimal period for carrying out preventive maintenance operations in which the total downtime of the machine is the least possible is 5 days for the machine Alba 26, while for the machine Crupp 21 is 7 days, and the expected number from failures F(K) of Alba 26 machine increases with high rate due to the increase of the periodic time between preventive maintenance and another till it reaches approximately 13 failures within 17 days
(1) e machines with increased failure rates and low reliability are clearly subject to preventive maintenance operations with close periods
Summary
In science and technology, and the use of complex and sophisticated systems, the science of reliability has many potential applications in medicine and communication areas. A decrease in reliability rates indicates a decline in the performance of the systems and the level of their efficiency. To explain the improvement that occurs to machines after carrying out preventive maintenance operations by calculating the reliability function, failure rate, and average time between failures of the machines before and after carrying out preventive maintenance operations. E extent of the impact of those values on the optimal solution and the extent of their importance on the model were noticed by substituting different values for subjective values (the downtime required to repair faults and the downtime required to carry out preventive maintenance activities) in the model to recognize the extent of their impact on the standard periods for the purpose of carrying out the preventive maintenance operations for those machines. Measuring Reliability e indicators by which reliability can be measured are discussed below
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