A study of developing an input-oriented ratio-based comparative efficiency model

Ching K. Wei, Liang Chih Chen, Rong-Kwei Li, Chih Hung Tsai*

*Corresponding author for this work

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Data envelopment analysis (DEA) is a representative method to estimate efficient frontiers and derive efficiency. However, in a situation with weight restrictions on individual input-output pairs, its suitability has been questioned. Therefore, the main purpose of this paper is to develop a mathematical method, which we call the input-oriented ratio-based comparative efficiency model, DEA-R-I, to derive the input-target improvement strategy in situations with weight restrictions. Also, we prove that the efficiency score of DEA-R-I is greater than that of CCR-I, which is the first and most popular model of DEA, in input-oriented situations without weight restrictions to claim the DEA-R-I can replace the CCR model in these situations. We also show an example to illustrate the necessity of developing the new model. In a nutshell, we developed DEA-R-I to replace CCR-I in all input-oriented situations because it sets a more accurate weight restriction and yields a more achievable strategy.

Original languageEnglish
Pages (from-to)2473-2477
Number of pages5
JournalExpert Systems with Applications
Volume38
Issue number3
DOIs
StatePublished - 1 Mar 2011

Keywords

  • CCR-I
  • Data envelopment analysis
  • DEA-R-I

Fingerprint Dive into the research topics of 'A study of developing an input-oriented ratio-based comparative efficiency model'. Together they form a unique fingerprint.

  • Cite this