Dimension-specific efficiency measurement using data envelopment analysis
type: Item
instance of: scholarly article
title: Dimension-specific efficiency measurement using data envelopment analysis
zbMATH Open document ID: 1407.90222
DOI: 10.1155/2014/247248
author: Hongjun Zhang
author: Youliang Zhang
author: Rui Zhang
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: Data envelopment analysis (DEA) is a powerful tool for evaluating and improving the performance of a set of decision-making units (DMUs). Empirically, there are usually many DMUs exhibiting ``efficient'' status in multi-input multioutput situations. However, it is not appropriate to assert that all efficient DMUs have equivalent performances. Actually, a DMU can be evaluated to be efficient as long as it performs best in a single dimension. This paper argues that an efficient DMU of a particular input-output proportion has its own specialty and may also perform poorly in some dimensions. Two DEA-based approaches are proposed to measure the dimension-specific efficiency of DMUs. One is measuring efficiency in multiplier-form by further processing the original multiplier DEA model. The other is calculating efficiency in envelopment-form by comparing with an ideal DMU. The proposed approaches are applied to 26 supermarkets in the city of Nanjing, China, which have provided new insights on efficiency for the managers.
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C08
zbMATH DE Number: 7015983
Wikidata QID: Q59064207
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/247248
OpenAlex ID: W2062540179
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description: scientific article; zbMATH DE number 7015983