Cutting and packing problems under uncertainty: literature review and classification framework

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2023

Autores

Salem, KH (Autor) Outra; Silva, E (Autor) Outra; José Fernando Oliveira (Autor) FEUP

Revista

Título: International Transactions in Operational Research

Vol. 30

Páginas: 3329-3360

ISSN: 0969-6016

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00Y-DGW

DOI: 10.1111/itor.13318

Abstract (EN): Cutting and packing problems are hard combinatorial optimization problems that arise in several manufacturing and process industries or in their supply chains. The solution of these problems is not only a scientific challenge but also has a large economic impact, as it contributes to the reduction of one of the major cost factors for many production sectors, namely raw materials, together with a positive environmental impact. The explicit consideration of uncertainty when solving cutting and packing problems with optimization techniques is crucial for a wider adoption of research results by companies. However, current research has paid little attention to the role of uncertainty in these problems. In this paper, we review the existing literature on uncertainty in cutting and packing problems, propose a classification framework, and highlight the many research gaps and opportunities for scientific contributions.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 32