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http://dx.doi.org/10.5762/KAIS.2018.19.1.566

A Study on the Examination of Reliability Prediction Process and the Application of PLS data in Weapon System  

Kim, Geun-Hyung (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Lee, Kang-Taek (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Yoon, Jeong-Ah (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Seo, Yang-Woo (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Park, Seung Hwan (Department of Industrial Management Engineering, Korea University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.1, 2018 , pp. 566-576 More about this Journal
Abstract
As the weapon systems of the Korean Army possess massive firepower and multiple functions, the improvement of their quality through reliability prediction is becoming increasingly important. Currently, the reliability prediction of the weapon systems of the Korean Army is a difficult process, because it is conducted by naively calculating the reliability of their constituent parts. Recently, as various studies using accumulated data are undertaken across various industries, the defense industry is also attempting to analyze the Dark Data which have been accumulated but not yet used. Therefore, it is necessary to apply Post-Logistics Support (PLS) data in order to improve the reliability of the weapon systems and, for this purpose, the Korean Army needs to conduct diverse studies. Especially, the PLS data in the defense industry is very useful for reliability prediction, because the data on the defects reported after the development of the weapon systems are accumulated in this phase. This study examines the existing reliability prediction method conducted using the component parts and proposes a new reliability prediction method using PLS data. This framework can ultimately contribute to improve the prediction accuracy and quality of the weapon systems.
Keywords
Dark Data Analysis; DEFense readiness CONdition; Post-Logistics Support; Reliability Prediction; Weapon System;
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Times Cited By KSCI : 2  (Citation Analysis)
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