In this study, the BMI characteristics and food preference were examined according to the Sasang constitution typology. The constitution type of the subjects was judged by SCAT2 (SC) and Sasang specialists (SP), and the data were compared with the group (SS) in which the two results coincided. The results of SC and SP were consistent with 55 (38.2%) out of 144 subjects. Among the 55 subjects, there were 36 (65.5%), 15 (27.2%), and 4 (7.3%) Soeumin, Taeeumin, and Soyangin, respectively. The BMI of Taeeumin was significantly higher than that of Soeumin (p< .001) in all analytical methods. On the other hand, there was a difference in determining the body shape of Soyangin between the SCAT2 and specialists. The Taeeum-Soeum Food Preference Index was applied to compare the food preference to 41 types of food. In SS analysis, 13 kinds of foods preferred by Taeeumin or Soeumin were found, of which 8 (19.5%) were consistent with the existing food data. Taeeumin preferred 6 kinds of food, such as cold soybean-soup noodles, wild sesame seaweed soup, pan-fried tofu, Yeongun-jorim, Doraji-namul, and soy milk. In contrast, the favorite foods of Soeumin were black rice and Dak-galbi.

As for the performance estimation of the AS/RS(Automated Storage/Retrieval System) most research assumes the AS/RS machine performs only either single command (SC) or dual command (DC) at each operation, and in addition, the type of requests is known in advance, which are not adequate in the real system. In this paper, we propose a stochastic approach for the performance estimation of a unit-load AS/RS. We assume that the service time when the AS/RS performs single command is differently distributed from that of dual command. Especially, we obtain the steady state probability distribution of the numbers of storage and retrieval commands waiting in the queues at each service completion epoch.