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

• Type: Another Publication in an International Scientific Journal
• Date: 2023

Authors

Salem, KH (Author) Other; Silva, E (Author) Other; José Fernando Oliveira (Author) FEUP

Journal

Title: International Transactions in Operational Research

Vol. 30

Pages: 3329-3360

ISSN: 0969-6016

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 32