Shelf-space allocation model with demand learning

Kazuki Ishichi; Shunichi Ohmori; Masao Ueda; Kazuho Yoshimoto

doi:10.31387/oscm0360219

Shelf-space allocation model with demand learning

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

^*Corresponding author for this work

School of Creative Science and Engineering

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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.

Original language	English
Pages (from-to)	24-30
Number of pages	7
Journal	Operations and Supply Chain Management
Volume	12
Issue number	1
DOIs	https://doi.org/10.31387/oscm0360219
Publication status	Published - 2019

Keywords

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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10.31387/oscm0360219

Cite this

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AU - Ueda, Masao

AU - Yoshimoto, Kazuho

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AB - 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.

KW - Demand management

KW - Retail operations

KW - Shelf-space allocation problem

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Shelf-space allocation model with demand learning

Abstract

Keywords

ASJC Scopus subject areas

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