1. OSCM Publications
  2. Volume 12, Issue 1, 2019
  3. Shelf-space Allocation Model with Demand Learning

Shelf-space Allocation Model with Demand Learning

Author(s):

  • Kazuki Ishichi (Waseda University, Tokyo, Japan)
  • Shunichi Ohmori (Waseda University, Tokyo, Japan)
  • Masao Ueda (Waseda University, Tokyo, Japan)
  • Kazuho Yoshimoto (Waseda University, Tokyo, Japan)
Volume: 12 Issue: 1 Publication Year: 2019 Page: 24-40 Available Online: 3 February 2019 DOI: 10.31387/oscm0360219
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Abstract:
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.
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@article{kazukiishichi-2019-1439,
  title={Shelf-space Allocation Model with Demand Learning},
  author={Kazuki  Ishichi and Shunichi  Ohmori and Masao  Ueda and Kazuho  Yoshimoto},
  journal={Operations and Supply Chain Management: An International Journal},
  year={2019},
  volume={12},
  number={1},
  pages={24--40},
  doi={10.31387/oscm0360219}
}
Kazuki  Ishichi, Shunichi  Ohmori, Masao  Ueda, Kazuho  Yoshimoto (2019). Shelf-space Allocation Model with Demand Learning. Operations and Supply Chain Management: An International Journal, 12(1), 24-40. https://doi.org/10.31387/oscm0360219
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