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http://dx.doi.org/10.5762/KAIS.2016.17.5.680

A Framework for Quality Improvement in Weapon System using Post-Logistics Support Data  

Kim, Geun-Hyung (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Kim, Young-Kuk (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.17, no.5, 2016 , pp. 680-687 More about this Journal
Abstract
Although advanced weapon system weapons with high-performance and various functions have been developed, weapon defects can be fatal in the weapons industry. Therefore, the army requires quality improvement to reduce the number of defects which occur during both the development and operation of the weapon system. Recently, many manufacturers, including weapons manufacturers, have conducted analyses using defect related big-data in order to improve the quality. However, there have been few data analyses, because it is difficult to obtain the data required for the analysis of the development phase. Therefore, this study summarizes the pattern of the weapon system, military organization, and defect types using the actual data of the Post-Logistics Support (PLS) phase. The PLS data, which is referred to as the data collected after force integration, includes information on requests for maintenance. Through this information, this study selects key variables and analyzes the selected variables. The analysis results show the critical factors to be considered during the development phase. Finally, this study proposes a framework for advanced PLS systems using the PLS data. The proposed framework enables the development time of weapon systems to be further shortened and their quality to be improved.
Keywords
Big Data Analysis; Integrated Logistics Support; Post-Logistics Support; Variable Selection; Weapon System;
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Times Cited By KSCI : 4  (Citation Analysis)
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