遺伝的アルゴリズムを利用した販売促進業務における商品陳列提案作成方法
遺伝的アルゴリズムを利用した販売促進業務における商品陳列提案作成方法
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2012/02/01
タイトル(英語): Construction Method of Display Proposal for Commodities in Sales Promotion by Genetic Algorithm
著者名: 湯本 真樹(近畿大学)
著者名(英語): Masaki Yumoto (Kinki University)
キーワード: 販売促進業務,商品陳列提案,遺伝的アルゴリズム,フェイス数,販売時期 Sales promotion,Display proposal for commodities,Genetic algorithm,The number of facing,Sales period
要約(英語): In a sales promotion task, wholesaler prepares and presents the display proposal for commodities in order to negotiate with retailer's buyers what commodities they should sell. For automating the sales promotion tasks, the proposal has to be constructed according to the target retailer's buyer. However, it is difficult to construct the proposal suitable for the target retail store because of too much combination of commodities. This paper proposes a construction method by Genetic algorithm (GA). The proposed method represents initial display proposals for commodities with genes, improve ones with the evaluation value by GA, and rearrange one with the highest evaluation value according to the classification of commodity. Through practical experiment, we can confirm that display proposal by the proposed method is similar with the one constructed by a wholesaler.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.132 No.2 (2012) 特集:多様な情報社会に適応するシステム技術
本誌掲載ページ: 223-230 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/2/132_2_223/_article/-char/ja/
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