Abstract
Purpose: Realization of the dynamic requirements (reliability) in time involves a higher cost compared to that for static requirements (quality) in time. Therefore, a reliability sampling plan must be designed to enable the efficient realization of reliability tests. Notably to conduct such tests, a certain number of samples and test time are required to perform the statistical analysis after the development of the electronic equipment weapon system.<BR>Methods: The failure rate of the target electronic equipment is calculated based on MIL-HDBK-217, using an electronic equipment reliability prediction model. Based on the calculated failure rate, the total time required for the reliability sampling test is calculated through MIL-STD-690. Finally, based on the calculated total test time, the correlation between the number of sampled samples and test time, considering the total number of samples, is adopted to optimally design the failure rate sampling plan for the electronic equipment weapon system.<BR>Results: The proposed model to cost-effectively design the reliability sampling plan is applied to a domestically developed military DC-DC converter. The optimal cost-effectiveness is ensured when the input is KRW 64,064,731 [Constraint condition (n: Integer > 0, t: Real number > 0): c = 0, n = 59, t = 492.37 h]/KRW 64,081,117 [Constraint condition (n: Integer > 0, t: Integer > 0): c = 0, n = 58, t = 501 h].<BR>Conclusion: The proposed model can be used to optimize the reliability sampling test plan for military electronic equipment in a cost-effective manner.
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