| Male suit, which is an important kind of wearing clothing for men in their daily lives, requires high level of fitness. The fitness not only affects the appearance, comfort of consumers, but also the purchase intention of target consumers.The vital factor of men's suit is the amount of relaxation. The amount of relaxation, as an vital part in male suit design, is the various parts of the clothing loose volume which make sure wearers feel comfortable and maintain the aesthetic appearance either in static or dynamic fashion on the bodies. In summary, one should design the suit by adding amount in length and circumference according to the standard size of cloth or the values from measuring, but also the differences caused by different types of lives.In this paper, first discuss clothing ease, factors which affect clothing fitness are analyzed. And analyze the special requirements of fitness for male suit. Bases on a male suit manufacturers in Zhengzhou, investigating the consumer's lifestyle, work environment and cultural backgrounds, as well as consumers' demand characteristics of the male suit products.To find the suitable size of chest, shoulder and biceps, the amount of relaxation for different Way of dressing clothes is analyzed and evaluated by trying on and scanning measurements. When the new patterns are finished, the new suit also is analyzed by the same way. Then get the proper size of suit key parts:chest, shoulder and biceps for Intermediate size. And by correlation analysis establish a mathematical model, to accurate and efficient developing new suit pattern.By investigating the S company in Zhengzhou men suits, find that the company's men suits has a high unfitness ration, nearly24percent. The same suit, people who has different life style and different way of dressing, may be feeled different consistent. When thhe chest, shoulder and sleeve biceps of the company170/88A consumers's suit be seted as:106cm,46cm and20cm, the male suit can be more fit. Men suit shoulder width and sleeve biceps has a high correlation with bust. The linear regression formula is:y=0.2933x+14.767and y=0.1196x+7.2347. |