Comparative analysis of mathematical formulations for the two‐dimensional guillotine cutting problem

Author:

Becker Henrique1ORCID,Martin Mateus2ORCID,Araujo Olinto3ORCID,Buriol Luciana S.1ORCID,Morabito Reinaldo4ORCID

Affiliation:

1. Graduate Programming in Computing Federal University of the Rio Grande do Sul (UFRGS) Porto Alegre 91 501‐970 Brazil

2. Department of Production Engineering Federal Fluminense University Petrópolis 25 650‐050 Brazil

3. Industrial Technical College Federal University of Santa Maria Santa Maria Brazil

4. Department of Production Engineering Federal University of São Carlos (UFSCar) São Carlos 13 565‐905 Brazil

Abstract

AbstractAbout 15 years ago, a paper proposed the first integer linear programming formulation for the constrained two‐dimensional guillotine cutting problem (with unlimited cutting stages). Since then, eight other formulations followed, seven of them in the last four years. This spike of interest gave no opportunity for a comprehensive comparison between the formulations. We review each formulation and compare their empirical results over instance datasets of the literature. We adapt most formulations to allow for piece rotation. The possibility of adaptation was already predicted but not realized by the prior work. The results show the dominance of pseudo‐polynomial formulations until the point instances become intractable by them, while more compact formulations keep achieving good primal solutions. Our study also reveals a mistake in the generation of the T instances, which should have the same optima with or without guillotine cuts. We also propose hybridising a recent formulation with a prior formulation for a restricted version of the problem. The hybridisations show a reduction of about 20% of the branch‐and‐bound time thanks to the symmetries broken by the hybridisation.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

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