6533b82bfe1ef96bd128d484

RESEARCH PRODUCT

Statistical Multivariate Techniques for the Stock Location Assignment Problem

Antonella PlaiaAngelo Mineo

subject

Multivariate statisticsGeographyData miningMultidimensional scalingMinimum spanning treeMultivariate statisticalcomputer.software_genrecomputerAssignment problemStock (geology)

description

In previous papers we proposed to apply multivariate statistical methodologies, like Multidimensional Scaling (MDS) and Seriation to the stock location assignment problem of a warehouse, often solved by considering the Cube per Order Index (COI). In this paper we compare the results by MDS, Seriation, a COI based method and the Maximum Path criterion, considering the data of a whole year of a Sicilian supermarket chain warehouse. The comparison is based on the simulated times to satisfy a sample of real orders.

yearjournalcountryeditionlanguage
1998-01-01
https://doi.org/10.1007/978-3-642-72253-0_78