Advanced SearchSearch Tips
Study to Optimize the Concurrent Spare Parts of Multiple Function Weapon System using Failure-Function Matrix
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Study to Optimize the Concurrent Spare Parts of Multiple Function Weapon System using Failure-Function Matrix
Kim, Kyung-Rok; Choi, Hyo-Jun;
  PDF(new window)
To develop weapon system, Concurrent Spare Parts(CSP) is one of the important somethings in terms of Intergrated Logistics System(ILS). CSP is very important to improve the availability of weapon system, and various research about CSP are performed. However, most of the research does not consider the effects between sub-item`s failure and weapon system`s multiple function. In other words, if sub-item`s failure does not seriously influence weapon system`s specific function, the point, not necessarily to replace sub-item, is not considered. Therefore, the method to calculate CSP based on above consideration is written by failure-function matrix in this paper. The study follows the procedure below. First, it`s to define the operation and maintenance procedure of weapon system. Second, failure-function matrix is developed. Third, simulation model is desinged by input data. Finally, The quantity of CSP is calculated by simulation and evolution strategy, meta-model. This study suggests new research direction to calculate CSP.
CSP;Evolution Strategy;Failure-Function Matrix;Simulation;
 Cited by
K. R. Kim, H. Y. Yong, K. S. Kwon, "Optimization for Concurrent Spare Part with Simulation", Journal of the Korea Society for Simulation, Vol.21, No.3, pp.79-88, 2012. DOI: crossref(new window)

I. S. Na, K. K. Lee, M. K. Park, "The Computing Model of Demand Quantity for Optimal Current Spare Parts considering the Operational Availability under Budget", Journal of the Korea safety management & science, Vol.8, No.5, pp.167-180, 2006

Y. J. Han, W. Y. Yun, J. W. You, C. H. Choi, H. W. Kim, "Simulation-based Reliability and Maintainability Design of a Warship", Journal of the Korean Institute of Industrial Engineers, Vol. 39, No. 6, pp. 461-472, 2013. DOI: crossref(new window)

K. R. Kim, J. M. Rhee, "Simulation Analysis to Optimize the Management of Military Maintenance Facility", Journal of the Korea Academia-Industrial cooperation Society, Vol.15, No.5, pp.2724-2731, 2014. DOI: crossref(new window)

Schwefel, H.P., Evolution and Optimum Seeking, pp. 15 - 300, NewYork, John Wiley & Sons., 1991.

I. S. Um, H. J. Cheon, H. C. Lee, "Optimization for the Design Parameters of Electric Locomotive Overhaul Maintenance Facility", Journal of the Korean Society for Railway, Vol.13, No.2, pp.222-228, 2010.

M. Valliathal, R. Uthayakumar, "A comparative study on two-warehouse inventory model for deteriorating items with shortages", International journal of procurement management Vol.6, No.1, pp.39-57, 2013. DOI: crossref(new window)

Michalewicz, Z., Genetic Algorithm + Data Structures = Evolution Program 3rd Edition, pp. 15-300, Springer-Verlag, 1996. DOI: crossref(new window)

A. GOSAVI, SIMULATION-BASED OPTI MIZATION, pp. 57-68, Kluwer Academic Publis hes, 2003.

Craig C. Sherbrooke, OPTIMAL INVENTORY MODELING OF SYSTEMS, Kluwer Academic Publishers, pp.101-125, 2004.