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The Development of a Concurrent Spare-Parts Optimization Model for Weapon Systems in the South Korean Military Forces

Author

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  • Seongmin Moon

    (KSS-III Program Group, Defense Acquisition Program Administration, Gwacheon-si, South Korea, 13809)

  • Ui Jun Kim

    (Research and Development, Kaiem Co., Ltd., Seoul, South Korea, 08380)

Abstract

The inventory level of concurrent spare parts (CSPs) has a significant effect on the availability of a weapon system. To improve the accuracy of CSP requirements, we developed a new version of a CSP optimization model that the South Korean military forces subsequently adopted. Our model has major improvements over its predecessor, including (1) combining failure rates from both user (i.e., the Korean military forces) field data and from predictions based on reliability handbooks; (2) modifying the shop-replaceable unit optimization logic; (3) adding an optimization process that uses genetic algorithms; (4) employing practical formulae to calculate operational availability; and (5) adding functions to increase the quality of the optimization results. Our simulation experiments identified that our model met the operational availability targets of the South Korean military forces and dramatically reduced the purchases costs of spare parts compared to the results generated by the previous version of the model.

Suggested Citation

  • Seongmin Moon & Ui Jun Kim, 2017. "The Development of a Concurrent Spare-Parts Optimization Model for Weapon Systems in the South Korean Military Forces," Interfaces, INFORMS, vol. 47(2), pages 122-136, April.
    • Handle: RePEc:inm:orinte:v:47:y:2017:i:2:p:122-136
    DOI: 10.1287/inte.2016.0869
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    References listed on IDEAS

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    3. Moon, Seongmin & Hicks, Christian & Simpson, Andrew, 2012. "The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy—A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 794-802.
    4. Yoon, Kyung Bok & Sohn, So Young, 2007. "Finding the optimal CSP inventory level for multi-echelon system in Air Force using random effects regression model," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1076-1085, August.
    5. Craig C. Sherbrooke, 1986. "VARI-METRIC : Improved Approximations for Multi-Indenture, Multi-Echelon Availability Models," Operations Research, INFORMS, vol. 34(2), pages 311-319, April.
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