JOURNAL OF TEXTILE RESEARCH ›› 2008, Vol. 29 ›› Issue (5): 127-129.

• 管理与信息化 • Previous Articles     Next Articles

Forecasting seasonal garment demand by the static method

WANG Hongfu;GAO Qing   

  1. School of Textile & Clothing;Jiangnan University;Wuxi;Jiangsu 214122;China
  • Received:2007-05-09 Revised:2007-11-20 Online:2008-05-15 Published:2008-05-15

Abstract: Garments such as swimwear are sensitive with seasons and their market demand fluctuates a lot.It is hard for enterprises to make an accurate forecast for the demand of these garments.This article has proposed a static analysis method for forecasting the market demand of short life cycle garments such as swimwear.According to this method,the sales data of a garment in hot selling season are collected,classified,sorted out and analyzed,and forecast is made based on it.The results indicate that other fashion class products(feather clothing,for example) which have the same obviously seasonal demand just like swimwear can be forecasted by the same way.

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