System Reliability Optimization Considering Uncertainty: Minimization of a Coefficient of Variance Measure
نویسندگان
چکیده
System reliability optimization models considering uncertainty are reviewed and a new formulation is proposed to minimize the coefficient of variation of the system reliability estimate. The redundancy allocation problem can be described as selection of the components and system configuration to optimize some objective function(s) without violating system related constraints. In this paper, we propose a new formulation to minimize the coefficient of variance of the system reliability estimate with respect to a minimum system reliability constraint and some other system level constraints. The problem can then be converted to integer programming problem for those problem where mixing components is not allowed.
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