Input analysis of the distributor’s pallet loading problem

Tina Sørensen, Søren Foged, Jeppe Mulbjerg Gravers, Mukund Nilakantan Janardhanan*, Peter Nielsen

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)

Abstract

Numerous studies have been conducted on the distributor’s pallet loading problem (DPLP) in order to find solution methods that are time efficient and produces results that are applicable in the real world. It is well known, that the complexity of the problem increases by the number of boxes to be packed on the pallet, but not much research focuses on other factors of input affecting the complexity. This paper proposes a model for solving the three-dimensional single pallet DPLP. Datasets are created specifically to conduct selected experiments to identify causes to increased computational time. The results yield a strong link between computation time and certain ratios of total volume of boxes to maximum capacity of the pallet as well as the amount of small vs. large boxes to be packed.

OriginalsprogEngelsk
TitelDistributed Computing and Artificial Intelligence, 13th International Conference
Antal sider10
Vol/bind474
ForlagSpringer
Publikationsdato2016
Sider545-554
ISBN (Trykt)978-3-319-40161-4
ISBN (Elektronisk)978-3-319-40162-1
DOI
StatusUdgivet - 2016
Begivenhed13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 - Sevilla, Spanien
Varighed: 1 jun. 20163 jun. 2016

Konference

Konference13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016
Land/OmrådeSpanien
BySevilla
Periode01/06/201603/06/2016
SponsorFidetia, IBM, IEEE SMC Spain, Indra
NavnAdvances in Intelligent Systems and Computing
Vol/bind474
ISSN1615-3871

Emneord

  • Three-dimensional pallet loading
  • MILP
  • The distributor’s pallet loading problem
  • Optimization

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