| Summary: | 碩士 === 國防大學管理學院 === 資源管理及決策研究所 === 98 === Military uniforms, the important signs of the militaries, which establish in major performances of the nation and military. The existing military uniforms sizing standard is formulated in the 85th year of Republic of China, which caused when their clothing-chips are implemented, the most type of military uniforms was different from the body types of the army men. Besides, classifications of military uniform sizing were too much and complex. It not only result in substantial inventory accumulation phenomenon, and increase the inventory cost, but also add to the inventory management personnel persecutions as well as lead to waste of national defense resources. This study uses hybrid support vector clustering with genetic algorithm models (SVCGA) to improve the upper garment sizing system on men’s military service dress uniform. The support vector clustering technique (SVC) is applied to classification of sizing system, and the genetic algorithm technique (GA) is employed to find the best parameters for the SVC model. Above-mentioned study is expected to develop an upper garment sizing system on men’s military service dress uniform that can increase overall clothes fitness of military personnel, and reduce the numbers of sizing groups, in order to lower both of management personnel burden and inventory costs.
The results of this study indicated the improvement of upper garment sizing system on men’s military service dress uniform, which includes raise 18 percent of overall clothes fitness and the reduction 33.3 percent of the numbers of sizing groups are better than the current sizing system. Thus, the SVCGA model is effective in classification of upper garment sizing system on men’s military service dress uniform.
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