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http://dx.doi.org/10.14248/JKOSSE.2020.16.1.084

Safety Critical I&C Component Inventory Management Method for Nuclear Power Plant using Linear Data Analysis Technic  

Jung, Jae Cheon (KEPCO International Nuclear Graduate School)
Kim, Haek Yun (KEPCO International Nuclear Graduate School)
Publication Information
Journal of the Korean Society of Systems Engineering / v.16, no.1, 2020 , pp. 84-97 More about this Journal
Abstract
This paper aims to develop an optimized inventory management method for safety critical Instrument and Control (I&C) components. In this regard, the paper focuses on estimating the consumption rate of I&C components using demand forecasting methods. The target component for this paper is the Foxboro SPEC-200 controller. This component was chosen because it has highest consumption rate among the safety critical I&C components in Korean OPR-1000 NPPs. Three analytical methods were chosen in order to develop the demand forecasting methods; Poisson, Generalized Linear Model (GLM) and Bootstrapping. The results show that the GLM gives better accuracy than the other analytical methods. This is because the GLM considers the maintenance level of the component by discriminating between corrective and preventive.
Keywords
Inventory Management Method; Linear Data Analysis; Poisson; Generalized Linear Model (GLM); Bootstrapping; Safety Critical I&C; SPEC-200 controller; Nuclear Power Plant;
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