Industrial insights into lot sizing and schedulingmodeling

• Type: Article in International Scientific Journal
• Date: 2015

Authors

Bernardo Almada Lobo (Author) FEUP; Alistair Clark (Author) Other; Luís Guimarães (Author) FEUP; Gonçalo Figueira (Author) FEUP; Pedro Amorim (Author) FEUP

Journal

Title: Pesquisa Operacional

Vol. 35 No. 3

Pages: 439-464

ISSN: 0101-7438

Publisher: Sociedade Brasileira de Pesquisa Operacional

Indexing

Scopus - 11 Citations

SciELO - Scientific Electronic Library Online

Scientific classification

CORDIS: Technological sciences

FOS: Engineering and technology

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific