管轄エリア内のコンビニエンスストアにおける新商品の需要予測に関する研究(投稿論文)

スポンサーリンク

概要

• 論文の詳細を見る

• A procedure using data mining techniques for demand forecast of new short life-cycle items is proposed. Then, the procedure is applied to the actual case of a manufacturer of food processing, based on the previous data of convenience stores orders. The manufacturer supplies 260 convenience stores in the Tokai region with 14,000 pieces of items of packed lunch and household dishes daily, and annually produces 100〜150 kinds of new items with short life cycle between one week and three months. By using the orders data in the first week, quantity demanded can be forecasted in the second, third, and the fourth weeks for new items. Moreover, it has been verified that some effective association rules about hot items and cold items have been obtained by performing distinct data mining for the manufacturer.

• 2008-09-20

著者

• 劉 妍

  名古屋大学大学院経済学研究科博士後期課程

関連論文

• 管轄エリア内のコンビニエンスストアにおける新商品の需要予測に関する研究(投稿論文)

スポンサーリンク