
	Journal of Applied Sciences
	Year: 2011 \| Volume: 11 \| Issue: 20 \| Page No.: 3515-3519 DOI: 10.3923/jas.2011.3515.3519

Performance Measurement of Two-Stage Production Systems with Undesirable Factors by Data Envelopment Analysis

A. Ashrafi and A.B. Jaafar

Abstract: Data Envelopment Analysis (DEA) is a non-parametric method for evaluating the efficiency of peer Decision Making Units (DMUs) with multiple inputs and outputs. During the last few years, a great number of DEA studies have focused on two-stage production systems where all outputs from the first stage are intermediate products that make up the inputs to the second stage. In these production processes, however, both desirable and undesirable factors may be present. Obviously, undesirable factors in production process should be reduced to improve the performance. In this study, a two-stage DEA model was proposed to improve the performance of stages by increasing undesirable inputs and decreasing undesirable outputs. A real numerical example was used to illustrate the model.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Using DEA Cross-efficiency Evaluation for Suppliers Ranking in the Presence of Dual-role Factors

•	Supplier Selection using a New Russell Model in the Presence of Undesirable Outputs and Stochastic Data

•	Context-Dependent DEA and Weighted-Russell Measures to Evaluate Progress and Regress

•	Determining the Factors Affecting Efficiency Scores in Agriculture

•	Efficiency Evaluation in an Airline Company: Some Empirical Results

•	Economic Efficiency of Caspian Cattle Feedlot Farms

How to cite this article:

A. Ashrafi and A.B. Jaafar, 2011. Performance Measurement of Two-Stage Production Systems with Undesirable Factors by Data Envelopment Analysis. Journal of Applied Sciences, 11: 3515-3519.

DOI: 10.3923/jas.2011.3515.3519

URL: https://scialert.net/abstract/?doi=jas.2011.3515.3519

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		AGRIS
		ASCI-Database
		Asian Digital Library
		Chemical Abstract Services
		Google Scholar

Science Alert