Retail shelf space planning problems: A comprehensive review and classification framework

• Type: Another Publication in an International Scientific Journal
• Date: 2021

Authors

Teresa Bianchi Aguiar (Author) Other; Alexander Hübner (Author) Other; Maria Antónia Carravilla (Author) FEUP; José Fernando Oliveira (Author) FEUP

Journal

Title: European Journal of Operational Research

Vol. 289

Pages: 1-16

ISSN: 0377-2217

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-00S-G5R

DOI: 10.1016/j.ejor.2020.06.018

Abstract (EN): The retail shelf space planning problem has long been addressed by Marketing and Operations Research (OR) professionals and researchers, with the first empirical studies tracing back to the 1960s and the first modelling approaches back to the 1970s. Due to this long history, this field presents a wide range of different mathematical modelling approaches that deal with the decisions surrounding a set of products and not only define their space assignment and related quantity, but also their vertical and horizontal positioning within a retail shelf. These decisions affect customer demand, namely in the form of space- and position-dependent demand and replenishment requirements. Current literature provides either more comprehensive decision models with a wide range of demand effects but limited practical applicability, or more simplistic model formulations with greater practical application but limited consideration of the associated demand. Despite the recent progress seen in this research area, no work has yet systematised published research with a clear focus on shelf space planning. As a result, there is neither any up-to-date structured literature nor a unique model approach, and no benchmark sets are available. This paper provides a description and a state-of-the-art literature review of this problem, focusing on optimisation models. Based on this review, a classification framework is proposed to systematise the research into a set of sub-problems, followed by a unified approach with a univocal notation of model classes. Future lines of research point to the most promising open questions in this field.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16