抄録
The uncertain demand of expiration-dated item often leads to scrap losses or opportunity losses, which result in resource wasting and the degradation of customer satisfaction. In this paper, a well known exponential smoothing method was modified to forecast the hourly demand of rice balls, by utilizing the concept of the newsvendor problem, and a simulation model was constructed to simulate the scrap loss and opportunity loss changes. The optimal order quantity's characteristics, which can maximize the retailer's expected profit, were clarified by using OptQuest and sensitivity analysis. The proposed approach was applied to a real store to confirm its effectiveness.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings of the 2012 Winter Simulation Conference, WSC 2012 |
DOI | |
出版ステータス | Published - 2012 12月 1 |
外部発表 | はい |
イベント | 2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany 継続期間: 2012 12月 9 → 2012 12月 12 |
Other
Other | 2012 Winter Simulation Conference, WSC 2012 |
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国/地域 | Germany |
City | Berlin |
Period | 12/12/9 → 12/12/12 |
ASJC Scopus subject areas
- ソフトウェア
- モデリングとシミュレーション
- コンピュータ サイエンスの応用