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An Effective Recruits' Assignment Method for Early Job Adaptation of Air-munition Maintenance Airmen Using Datamining Technique  

Kang, Kew-Young (공군 군수사령부 항공기술연구소)
Yoon, Bong-Kyoo (국방대학교 운영분석과)
Publication Information
Journal of the military operations research society of Korea / v.37, no.1, 2011 , pp. 147-159 More about this Journal
Abstract
Recently, the military service period has been shortened continuously. Meanwhile, more skilled airmen are needed as the complexity of weapon systems increase. This phenomenon could lead to a disastrous result such as deteriorating the level of the readiness and the fighting power. We suggest a method to improve recruit's maintenance capability rapidly by assigning airmen to jobs appropriate to their characteristics using Datamining methods (K-menas and CART). We focus on the assigning method for air force's air-munition maintenance airmen since they are requested more skilled than other airmen. Grouping airmen with k-means method and devising classification rule with CART algorithm, we found that airmen's proficiency arrival period could be shortened by 1.79 months when they are assigned in the suggested way.
Keywords
The Period of Service; Assignment Method; Data Mining; K-means; CART;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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