Shelf-space allocation model with demand learning

Kazuki Ishichi, Shunichi Ohmori, Masao Ueda, Kazuho Yoshimoto

研究成果: Article › 査読

抄録

In this paper, we studied the shelf-space allocation problem (SSAP). It is quite common recently to implement product design during a selling season and drastically change assortment decisions based on shelf-space allocation in response to up-to-date demand observations. While there are many literatures related to SSAP, However, existing literature assume that the demand is stationary. In this paper, we propose a dynamical framework to make shelf-space display decisions, in which space elasticity and potential demand are sequentially estimated using the latest data containing display space and sales for each product.

本文言語English
ページ（範囲）24-30
ページ数7
ジャーナルOperations and Supply Chain Management
巻12
号1
DOI
出版ステータスPublished - 2019

ASJC Scopus subject areas

  • Management Information Systems
  • Statistics, Probability and Uncertainty
  • Management Science and Operations Research
  • Information Systems and Management

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