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Advisor(s)
Abstract(s)
This paper presents a study on the complexity of cargo arrangements in the pallet loading
problem. Due to the diversity of perspectives that have been presented in the literature, complexity
is one of the least studied practical constraints. In this work, we aim to refine and propose a new
set of metrics to measure the complexity of an arrangement of cargo in a pallet. The parameters
are validated using statistical methods, such as principal component analysis and multiple linear
regression, using data retrieved from the company logistics. Our tests show that the number of boxes
was the main variable responsible for explaining complexity in the pallet loading problem.
Description
Keywords
Pallet loading problem Complexity Principal components analysis Multiple linear regression
Citation
Publisher
MDPI