Industrial insights into lot sizing and schedulingmodeling

• Tipo: Artigo em Revista Científica Internacional
• Data: 2015

Autores

Bernardo Almada Lobo (Autor) FEUP; Alistair Clark (Autor) Outra; Luís Guimarães (Autor) FEUP; Gonçalo Figueira (Autor) FEUP; Pedro Amorim (Autor) FEUP

Revista

Título: Pesquisa Operacional

Vol. 35 Nº 3

Páginas: 439-464

ISSN: 0101-7438

Editora: Sociedade Brasileira de Pesquisa Operacional

Indexação

Scopus - 21 Citações

SciELO - Scientific Electronic Library Online

Classificação Científica

CORDIS: Ciências Tecnológicas

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-00K-55Q

DOI: 10.1590/0101-7438.2015.035.03.0439

Resumo (PT): Lot sizing and scheduling by mixed integer programming has been a hot research topic in the last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporate real-world requirements from different applications. This paper illustrates some of these requirements and demonstrates how small- and big-bucket models have been adapted and extended. Motivation comes from different industries, especially from process and fast-moving consumer goods industries.

Abstract (EN): Lot sizing and scheduling by mixed integer programming has been a hot research topic inthe last 20 years. Researchers have been trying to develop stronger formulations, as well as to incorporatereal-world requirements from different applications. This paper illustrates some of these requirements anddemonstrates how small- and big-bucket models have been adapted and extended. Motivation comes fromdifferent industries, especially from process and fast-moving consumer goods industries. © 2015 Brazilian Operations Research Society.

Idioma: Inglês

Tipo (Avaliação Docente): Científica