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Entropy based Redundancy Allocation in Series-Parallel Systems with Choices of a Redundancy Strategy and Component Type: A Multi-Objective Model |
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PP: 1049-1058 |
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Author(s) |
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Roya Soltani,
Seyed Jafar Sadjadi,
Reza Tavakkoli-Moghaddam,
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Abstract |
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| This paper presents a new multi-objective mathematical model for the redundancy allocation problem with the choices
of a redundancy strategy and component type in series-parallel systems. The model considers entropy measure which is a measure of
uncertainty in the information theory. For the first time, the model maximizes the reliability and entropy of the system and minimizes the
nonlinear cost of the system simultaneously. In addition, this paper considers entropy in distribution of the weights of components within
subsystems as another form of entropy, which is more realistic than considering entropy in distribution of the number of components.
The subsystems can choose a redundancy strategy, which can be active or cold standby, or consider no redundancy. A mathematical
compromise programming approach is employed to deal with this problem. As different weights of the objectives and norm of the Lp
metric result in various solutions, appropriate criterion is employed to choose the best compromise solution. Finally, the results and
conclusion are presented. |
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