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http://dx.doi.org/10.5762/KAIS.2015.16.8.5260

Study to Optimize the Concurrent Spare Parts of Multiple Function Weapon System using Failure-Function Matrix  

Kim, Kyung-Rok (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Choi, Hyo-Jun (ILS(Integrated Logistics Support) R&D Lab, LIG Nex1)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.8, 2015 , pp. 5260-5266 More about this Journal
Abstract
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.
Keywords
CSP; Evolution Strategy; Failure-Function Matrix; Simulation;
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Times Cited By KSCI : 5  (Citation Analysis)
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1 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: http://dx.doi.org/10.9709/JKSS.2012.21.3.079   DOI
2 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
3 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: http://dx.doi.org/10.7232/JKIIE.2013.39.6.461   DOI
4 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: http://dx.doi.org/10.5762/KAIS.2014.15.5.2724   DOI
5 Schwefel, H.P., Evolution and Optimum Seeking, pp. 15 - 300, NewYork, John Wiley & Sons., 1991.
6 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.
7 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: http://dx.doi.org/10.1504/IJPM.2013.050609   DOI
8 Michalewicz, Z., Genetic Algorithm + Data Structures = Evolution Program 3rd Edition, pp. 15-300, Springer-Verlag, 1996. DOI: http://dx.doi.org/10.1007/978-3-662-03315-9   DOI
9 A. GOSAVI, SIMULATION-BASED OPTI MIZATION, pp. 57-68, Kluwer Academic Publis hes, 2003.
10 Craig C. Sherbrooke, OPTIMAL INVENTORY MODELING OF SYSTEMS, Kluwer Academic Publishers, pp.101-125, 2004.