Implementation of Prognostics and Health Management in South Korean Defense Systems

Authors

  • Jaehun Park Defense Agency for Technology and Quality
  • Yong Soo Kim Department of Industrial & Systems Engineering, Konggi University
  • Suk Joo Bae
  • Sung Kyu Kim Department of Industrial & Systems Engineering, Konggi University
  • Mi Lim Lee College of Business Administration, Hongik University
  • Si-Il Sung "Department of Industrial and Management Engineering, Inje University" http://orcid.org/0000-0002-1609-5871

DOI:

https://doi.org/10.23055/ijietap.2019.26.1.3606

Keywords:

RAM, Integrated Logistics Support, PHM, Korea National Defense Reform Basic Plan 2020

Abstract

As an advanced reliability-estimation concept, prognostics and health management (PHM) has been widely used to estimate the remaining useful life of individual systems, especially those embedded in U.S. military applications. However, there have as yet been no specific attempts to apply PHM or another advanced reliability-estimation methods to South Korea’s defense systems. We herein examine a feasible application to improve the reliability, availability and maintainability (RAM) of defense system performance, mainly through simulation-study-based comparison of South Korean and United States reliability-estimation technologies and strategies. We then provide a long-term-perspective roadmap for the introduction ofPHM to South Korea’s defense systems. In particular, it is expected that availability improvement in South Korean defense systems can be achieved through accurate residual-life prediction by introducing PHM to defense system operation.

Published

2019-03-23

How to Cite

Park, J., Kim, Y. S., Bae, S. J., Kim, S. K., Lee, M. L., & Sung, S.-I. (2019). Implementation of Prognostics and Health Management in South Korean Defense Systems. International Journal of Industrial Engineering: Theory, Applications and Practice, 26(1). https://doi.org/10.23055/ijietap.2019.26.1.3606

Issue

Section

2016 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling