Consider a series or parallel system of independent components and assume that the components are randomly chosen from two different batches, with the components of the first batch being more reliable than those of the second. In this note it is shown that the reliability of the system increases, in usual stochastic order sense, as the random number of components chosen from the first batch increases in increasing convex order. As a consequence, we establish a result analogous to the Parrondo’s paradox, which shows that randomness in the number of components extracted from the two batches improves the reliability of the series system.
Stochastic comparisons of series and parallel systems with randomized independent components / Di Crescenzo, A.; Pellerey, Franco. - In: OPERATIONS RESEARCH LETTERS. - ISSN 0167-6377. - STAMPA. - 39:11(2011), pp. 380-384. [10.1016/j.orl.2011.07.004]
Stochastic comparisons of series and parallel systems with randomized independent components
PELLEREY, FRANCO
2011
Abstract
Consider a series or parallel system of independent components and assume that the components are randomly chosen from two different batches, with the components of the first batch being more reliable than those of the second. In this note it is shown that the reliability of the system increases, in usual stochastic order sense, as the random number of components chosen from the first batch increases in increasing convex order. As a consequence, we establish a result analogous to the Parrondo’s paradox, which shows that randomness in the number of components extracted from the two batches improves the reliability of the series system.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2428786
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