Demand forecasting procedure for short life-cycle products with an actual food processing enterprise
Demand forecasting procedure for short life-cycle products with an actual food processing enterprise
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DOI：
10.1080/18756891.2014.947121
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发表时间：
2014-01-01
影响因子：
2.9
通讯作者：
Gaku, Rie
中科院分区：
文献类型：
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作者：
Gaku, Rie
针对某食品加工企业的实际情况，提出了一种利用数据挖掘技术对短生命周期新产品进行需求预测的方法。该企业每年生产100种类似150种新产品，生命周期在一周到三个月之间，供应辖区内260家便利店。根据第一销售周以前的交货数据，可以预测其新产品在第二、第三销售周的销售额。特别是针对新的短生命周期产品，利用数据挖掘技术，得到了一些有效的热项和冷项关联规则。
A procedure of demand forecasting using data mining techniques is proposed to forecast the sales amount of new short life-cycle products for an actual food processing enterprise. The enterprise annually produces 100 similar to 150 kinds of new items with short life-cycle between one week and three months to supply 260 convenience stores in the region of jurisdiction. Based on the previous delivery data in the first selling week, sales amount in the second, and the third selling weeks can be forecasted for their new products. Especially, some effective association rules about hot items and cold items are obtained by using data mining technologies for new short life-cycle products.