Using Analytics to Enhance a Food Retailer's Shelf-Space Management

• Tipo: Artigo em Revista Científica Internacional
• Data: 2016

Autores

Bianchi Aguiar, T (Autor) Outra; Silva, E (Autor) Outra; Luis Guimarães (Autor) FEUP; Maria Antónia Carravilla (Autor) FEUP; José Fernando Oliveira (Autor) FEUP; Amaral, JG (Autor) Outra; Liz, J (Autor) Outra; Lapela, S (Autor) Outra

Revista

Título: Interfaces

Vol. 46

Páginas: 424-443

ISSN: 0092-2102

Editora: Institute for Operations Research and the Management Sciences

Indexação

ISI Web of Knowledge - 15 Citações

Scopus - 18 Citações

Outras Informações

ID Authenticus: P-00M-4PN

DOI: 10.1287/inte.2016.0859

Abstract (EN): This paper describes the results of our collaboration with the leading Portuguese food retailer to address the shelf-space planning problem of allocating products to shop-floor shelves. Our challenge was to introduce analytical methods into the shelf-space planning process to improve the return on space and automate a process heavily dependent on the experience of the retailer's space managers. This led to the creation of GAP, a decision support system that the company's space-management team uses daily. We developed a modular operations research approach that systematically applies mathematical programming models and heuristics to determine the best layout of products on the shelves. GAP combines its analytical strength with an ability to incorporate different types of merchandising rules to balance the tradeoff between optimization and customization.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 20