A simulation-based approach for obtaining optimal order quantities of short-expiration date items at a retail store

Haixia Sang; Soemon Takakuwa

doi:10.1109/WSC.2012.6465063

A simulation-based approach for obtaining optimal order quantities of short-expiration date items at a retail store

Haixia Sang^*, Soemon Takakuwa

^*この研究の対応する著者

研究成果

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
ホスト出版物のタイトル	Proceedings of the 2012 Winter Simulation Conference, WSC 2012
DOI	https://doi.org/10.1109/WSC.2012.6465063
出版ステータス	Published - 2012 12 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 9 → 2012 12 12

Other

Other	2012 Winter Simulation Conference, WSC 2012
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

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10.1109/WSC.2012.6465063

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A simulation-based approach for obtaining optimal order quantities of short-expiration date items at a retail store

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