Kazuki Ishichi
Waseda University, Tokyo, Japan
Shunichi Ohmori
Waseda University, Tokyo, Japan
Masao Ueda
Waseda University, Tokyo, Japan
Kazuho Yoshimoto
Waseda University, Tokyo, Japan
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.
This paper has been downloaded 2923 times since published. The persistent DOI of this paper is DOI:10.31387/oscm0360219.