A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System

  • Giseop Noh Division of Software Convergence, Cheongju University
  • Hayoung Oh DASAN College, Ajou University
Keywords: Concurrent spare parts, Logistic support, Modelling and simulation, OASIS

Abstract

As the complexity of weapon systems has grown exponentially during the past few years, initial operation capability has been a crucial factor for military forces. Concurrent spare parts (CSPs) is the quantity of spare parts ensuring initial operating period specified by demanding forces acquiring newly deployed weapon systems. Because of the growth of system complexity, recommending precise CSP is not trivial. The Republic of Korea developed an improved CSP recommendation system and deployed the system for naval weapon systems. In this paper, we increase the prediction accuracy of CSP up to 23.1 per cent and 7.16 per cent higher in terms of budget constraint and operational availability (Ao) constraint. The main improvement is achieved by facilitating simulations using the real field data from Korean air force. Also, we propose two validation approaches and show the possibility of extension to the general weapon systems. From the experimental study, we show that the CSP recommendation system can be deployed for navy and air forces.

Author Biographies

Giseop Noh, Division of Software Convergence, Cheongju University
Dr Gisoep Noh obtained his PhD (Electrical and Computer Engineering) from Seoul National University. He is currently working as an assistant professor in Division of Software Convergence, Cheongju University. He has about 14 journal papers and 15 conference papers. His research areas includes: Computer networks, security, recommender systems, optimality in military logistics, social network analysis.
Hayoung Oh, DASAN College, Ajou University
Dr Hayoung Oh obtained her PhD (Electrical and Computer Engineering) from Seoul National University. Presently, she is working as an assistant professor in DASAN College, Ajou University. She has more than 20 journal papers. Her research areas includes: analysis on military weapon systems, computer networks, computer security, social network analysis, and network coding.
Published
2018-04-16
How to Cite
NohG., & OhH. (2018). A Field Study on Concurrent Spare Parts Recommendation in an Airborne Weapon System. Defence Science Journal, 68(3), 282-289. https://doi.org/10.14429/dsj.68.11273
Section
Computers & Systems Studies