Data Envelopment Analysis (DEA) Workshop

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Cordiially inviting all postgraduate students and supervisors to the introductory workshop on Data envelopment analysis (DEA) to be held as follows:

Date: 28th July 2011 (Thursday) 
Time: 09.30 a.m. to 12.30 noon 
Venue: Bestari 3, D06, FPPSM 
Facilitators: Prof. Mostafa Kazemi
 


 

INTRODUCTION

Prof. Mostafa Kazemi,

Productivity & System Management
Ferdowsi University of Mashhad, Mashhad, Iran

Measurement efficiency of decision-making units (DMUs) such as hospitals, banks, and universities etc. that use multiple inputs and produce multiple outputs is complex.
Data envelopment analysis (DEA) was first proposed by Charnes et al. in 1978, and is a linear programming-based methodology and is a non-parametric method of efficiency analysis for comparing units relative to their best peers (efficient frontier). Data envelopment analysis (DEA) is a powerful tool for assessing the performance of organizations. DEA spans the boundaries of several academic areas including management science, operational research, economics and mathematics.
The main idea is to evaluate the relative efficiency of a set of homogenous DMUs by using a ratio of the weighted sum of outputs to the weighted sum of inputs. It generalizes the usual efficiency measurement from a single-input, single-output ratio to a multiple-input, multiple-output ratio.

Mathematically, DEA is a linear programming-based methodology for evaluating the relative efficiency of a set of decision making units (DMUs).