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This study offers the capability to model different failure characteristics, such as, an increasing, decreasing or constant machine failure rate.
(2001) evaluated tandem layout efficiency in terms of system size, machine failure rate, and unload/load time.
Machine reliability is defined as R = exp (λt), where λ and t stand for the machine failure rate and machine operation time, respectively.
From numerical experiments, it was observed that the decision based on the average cost can be 10%% worse than the decision based on net present value depending upon the machine failure rate.
The K computer is also highly resilient and has a lower machine failure rate (Yamamoto et al. 2014) compared to other peta-scale supercomputers, which is very important for long-term climate simulations with a large number of computational nodes.
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Optimal production policies of the proposed models are derived numerically and the sensitivity of the optimal results with respect to those parameters which directly influence the machine failure and repair rates is also examined.
As the stress condition of the machine changes with the production rate, the failure rate of the machine is assumed to be dependent on the production rate.
From Fig. 2, we see that as failure rate of machine increases, the number of failed machines (E[N tau )]) also becomes higher.
Effect of the failure rate of machines The failure rate of the operating machines affects the performance of a machining system significantly.
Including the other two sources of errors, the overall ballot failure rate with machine counting was about three times this.
The effects of the failure rates of operating machines (λ, λ d), the failure rate of spares, service rates (µ, µ a) of the repairmen and the number of operating machines (M) have been examined on various performance measures such as the expectation E(n) and variance Var(n) of the number of failed machines in the system, throughput and the expected total cost E{TC} incurred on the system.
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CEO of Professional Science Editing for Scientists @ prosciediting.com