Efficiency in the Worst Production Situation Using Data Envelopment Analysis. (27th March 2013)

• Record Type: Journal Article
• Authors: Hossain, Md. Kamrul; Kamil, Anton Abdulbasah; Mustafa, Adli; Baten, Md. Azizul
• Other Names: Wood Graham Academic Editor.
• Is Part Of: Advances in decision sciences. Volume 2013(2013)
• Publication Date: 2013-03-27
• Subjects: Decision making -- Periodicals; Decision making; Electronic journals; Periodicals; 519
• DOI: 10.1155/2013/354509
• Languages: English
• ISSNs: 2090-3359

Abstract

Abstract : Data envelopment analysis (DEA) measures relative efficiency among the decision making units (DMU) without considering noise in data. The least efficient DMU indicates that it is in the worst situation. In this paper, we measure efficiency of individual DMU whenever it losses the maximum output, and the efficiency of other DMUs is measured in the observed situation. This efficiency is the minimum efficiency of a DMU. The concept of stochastic data envelopment analysis (SDEA) is a DEA method which considers the noise in data which is proposed in this study. Using bounded Pareto distribution, we estimate the DEA efficiency from efficiency interval. Small value of shape parameter can estimate the efficiency more accurately using the Pareto distribution. Rank correlations were estimated between observed efficiencies and minimum efficiency as well as between observed and estimated efficiency. The correlations are indicating the effectiveness of this SDEA model.