Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/1531
Title: | Partial average cross‐weight evaluation for ABC inventory classification |
Authors: | Karagiannis, Giannis |
Type: | Article |
Subjects: | FRASCATI::Social sciences::Economics and Business FRASCATI::Social sciences::Economics and Business |
Keywords: | composite indicators descending ordering schemes overall measure ABC inventory classification |
Issue Date: | 2021 |
Source: | International Transactions in Operational Research |
Volume: | 28 |
Issue: | 3 |
First Page: | 1526 |
Last Page: | 1549 |
Abstract: | In this paper, we propose an alternative overall measure, inspired by the notion of average cross-efficiency, which summarizes achievements across different descending ordering schemes regarding the relative importance of the considered indicators in the Ng model. The proposed overall measure is equal to the arithmetic average of the maximum partial averages across all possible descending ordering schemes. It can also be obtained using the average (across ordering schemes) of the estimated multipliers. We apply the proposed measure to the ABC inventory classification problem, and we compare our results with those by four information theory based methods that may be used for the same purpose, namely the Shannon entropy, distance-based, weighted least-square dissimilarity, and maximizing deviation methods. |
URI: | https://doi.org/10.1111/itor.12594 https://ruomo.lib.uom.gr/handle/7000/1531 |
ISSN: | 0969-6016 1475-3995 |
Other Identifiers: | 10.1111/itor.12594 |
Appears in Collections: | Department of Economics |
Files in This Item:
File | Description | Size | Format | |
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Partial-Averge-Cross-Eff-3.pdf | 870,94 kB | Adobe PDF | View/Open |
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