纺织学报 ›› 2008, Vol. 29 ›› Issue (5): 127-129.

• 管理与信息化 • 上一篇    下一篇

应用静态法预测季节性服装需求

王宏付;高庆   

  1. 江南大学纺织服装学院 江苏无锡214122
  • 收稿日期:2007-05-09 修回日期:2007-11-20 出版日期:2008-05-15 发布日期:2008-05-15

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

摘要: 针对泳衣等对季节性敏感的服装商品市场需求波动较大,企业难以对需求量进行准确预测的问题,通过对企业历史销售数据进行归纳整理,按照销售季的时期,采用静态分析法着重研究生命周期较短的服装———泳衣的需求预测。结果表明,对于和泳装这类季节性需求明显的产品有相同变化规律的其他时尚类产品,如羽绒服,也可以通过该方法进行需求量的预测。

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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