Data Envelopment Analysis, DEA
A new model to measuring efficiency and returns to scale on data envelopment analysis

Abbasali Monzeli; Behrouz Daneshian; Gasem Tohidi; Shabnam Razavian; Masud Sanei

Volume 10, Issue 2 , June 2021, , Pages 128-137

https://doi.org/10.22105/riej.2021.272673.1186

Abstract
  We extend the concept of returns to scale in Data Envelopment Analysis (DEA) to the weight restriction environments. By adding weight restrictions, the status of returns to scale, i.e. increasing, constant, and decreasing, may need a change. We first define "returns to scale" underweight restrictions ...  Read More

Data Envelopment Analysis Based on MPSS Efficient and Inefficient Frontiers

F. Piran; F Hosseinzadeh Lotfi; M. Rostami-Malkhalifeh

Volume 2, Issue 4 , December 2013, , Pages 15-25

Abstract
  Data envelopment analysis (DEA) is a non-parametric analytical methodology widely used in efficiency measurement of decision making units (DMUs). Conventionally, after identifying the efficient frontier, each DMU is compared to this frontier and classified as efficient or inefficient. This thesis introduces ...  Read More