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Optimization Letters

, Volume 13, Issue 2, pp 379–398 | Cite as

New formulations for Variable Cost and Size Bin Packing Problems with Item Fragmentation

  • Marco CasazzaEmail author
Original Paper
  • 31 Downloads

Abstract

In the Bin Packing Problem with Item Fragmentation a set of items of known weight and a set of bins of limited capacity are given; the task is to find the minimum cost assignment of items to bins without exceeding their capacity. However, contrary to the classical Bin Packing Problem, items can be split and fractionally assigned to different bins at a cost. In this paper we generalize models and properties from the literature by considering a set of heterogeneous bins, possibly having different cost and capacity. We prove that such a natural extension changes substantial features of the problem. We propose both compact and extended formulations and a branch-and-price algorithm that combines column generation techniques and implicit enumeration strategies to achieve guarantees on the optimality of the solutions. We present the results of an extensive experimental campaign proving that our algorithm outperforms general purpose commercial solvers by orders of magnitude.

Keywords

Bin Packing Item Fragmentation Variable Cost and Size Column generation 

Notes

Acknowledgements

Project partially funded by Regione Lombardia, POR FESR 2014-2020 project AD-COM.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Dipartimento di InformaticaUniversità degli Studi di MilanoCremaItaly

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