scispace - formally typeset
R

Reza Farzipoor Saen

Researcher at Sohar University

Publications -  225
Citations -  6110

Reza Farzipoor Saen is an academic researcher from Sohar University. The author has contributed to research in topics: Data envelopment analysis & Supply chain. The author has an hindex of 37, co-authored 202 publications receiving 4879 citations. Previous affiliations of Reza Farzipoor Saen include Sultan Qaboos University & Nottingham Trent University.

Papers
More filters
Journal ArticleDOI

A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context

Majid Azadi, +3 more
- 01 Feb 2015 - 
TL;DR: An integrated DEA enhanced Russell measure (ERM) model in fuzzy context to select the best sustainable suppliers and a new efficiency measure called fuzzy productivity value is developed to measure sustainable supplier performance.
Journal ArticleDOI

A novel network data envelopment analysis model for evaluating green supply chain management

Seyed Mostafa Mirhedayatian, +2 more
- 01 Jan 2014 - 
TL;DR: The objective of this paper is to propose a novel network DEA model for evaluating the GSCM in the presence of dual-role factors, undesirable outputs, and fuzzy data.
Journal ArticleDOI

Measuring corporate sustainability management: A data envelopment analysis approach

Ki-Hoon Lee, +1 more
- 01 Nov 2012 - 
TL;DR: In this paper, a data envelopment analysis (DEA) technique and an empirical case of a Korean electronics industry were used to measure corporate sustainability management and the combined approach of cross-efficiency and dual-role factors was proposed.
Journal ArticleDOI

Suppliers selection in the presence of both cardinal and ordinal data

Reza Farzipoor Saen
- 01 Dec 2007 - 
TL;DR: This paper proposes an innovative method, which is based on imprecise data envelopment analysis (IDEA), to select the best suppliers in the presence of both cardinal and ordinal data.
Journal ArticleDOI

Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement

Kamran Rashidi, +1 more
- 01 Jul 2015 - 
TL;DR: In this paper, a data envelopment analysis (DEA) model is developed to divide inputs into both energy and non-energy and outputs into both desirable (good) and undesirable (bad) outputs.