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Dynamic stability metrics for the container loading problem

dc.contributor.authorRamos, A. Galrão
dc.contributor.authorOliveira, José F.
dc.contributor.authorGonçalves, José F.
dc.contributor.authorLopes, Manuel P.
dc.date.accessioned2016-01-20T14:38:23Z
dc.date.available2016-11-01T01:30:09Z
dc.date.issued2015-11
dc.description.abstractThe Container Loading Problem (CLP) literature has traditionally evaluated the dynamic stability of cargo by applying two metrics to box arrangements: the mean number of boxes supporting the items excluding those placed directly on the floor (M1) and the percentage of boxes with insufficient lateral support (M2). However, these metrics, that aim to be proxies for cargo stability during transportation, fail to translate real-world cargo conditions of dynamic stability. In this paper two new performance indicators are proposed to evaluate the dynamic stability of cargo arrangements: the number of fallen boxes (NFB) and the number of boxes within the Damage Boundary Curve fragility test (NB_DBC). Using 1500 solutions for well-known problem instances found in the literature, these new performance indicators are evaluated using a physics simulation tool (StableCargo), replacing the real-world transportation by a truck with a simulation of the dynamic behaviour of container loading arrangements. Two new dynamic stability metrics that can be integrated within any container loading algorithm are also proposed. The metrics are analytical models of the proposed stability performance indicators, computed by multiple linear regression. Pearson’s r correlation coefficient was used as an evaluation parameter for the performance of the models. The extensive computational results show that the proposed metrics are better proxies for dynamic stability in the CLP than the previous widely used metrics.pt_PT
dc.identifier.doi10.1016/j.trc.2015.09.012pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/7422
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relation.ispartofseriesTransportation Research Part C: Emerging Technologies;Vol. 60
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0968090X15003459pt_PT
dc.subjectContainer loading problempt_PT
dc.subjectDynamic stabilitypt_PT
dc.subjectPhysics enginept_PT
dc.titleDynamic stability metrics for the container loading problempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage497pt_PT
oaire.citation.startPage480pt_PT
oaire.citation.titleTransportation Research Part C: Emerging Technologiespt_PT
oaire.citation.volume60pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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