Year: 2019
Type: article
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.
DOI: 10.31387/oscm0360219
Institution: Waseda University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2913752799
