Shelf-space allocation model with demand learning

Kazuki Ishichi, Shunichi Ohmori*, Masao Ueda, Kazuho Yoshimoto

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)24-30
Number of pages7
JournalOperations and Supply Chain Management
Issue number1
Publication statusPublished - 2019


  • Demand management
  • Retail operations
  • Shelf-space allocation problem

ASJC Scopus subject areas

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


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