Please login first
Atefeh Amindoust   Dr.  Senior Scientist or Principal Investigator 
Timeline See timeline
Atefeh Amindoust published an article in April 2017.
Top co-authors See all
M. Nasir Uddin

275 shared publications

Keith Case

99 shared publications

Loughborough University

Farzad Tahriri

21 shared publications

University of Malaya

Morteza Yazdani

20 shared publications

Novita Sakundarini

10 shared publications

University of Malaya

12
Publications
0
Reads
0
Downloads
71
Citations
Publication Record
Distribution of Articles published per year 
(2012 - 2017)
Total number of journals
published in
 
10
 
Publications See all
Article 0 Reads 0 Citations Supplier selection considering sustainability measures: an application of weight restriction fuzzy-DEA approach Atefeh Amindoust Published: 27 April 2017
RAIRO - Operations Research, doi: 10.1051/ro/2017033
DOI See at publisher website
Article 0 Reads 2 Citations NONLINEAR GENETIC-BASED MODEL FOR SUPPLIER SELECTION: A COMPARATIVE STUDY Alireza Fallahpour, Atefeh Amindoust, Jurgita Antuchevičienė... Published: 22 January 2017
Technological and Economic Development of Economy, doi: 10.3846/20294913.2016.1189461
DOI See at publisher website
ABS Show/hide abstract
Evaluation and selection of candidate suppliers has become a major decision in business activities around the world. In this paper, a new hybrid approach based on integration of Gene Expression Programming (GEP) with Data Envelopment Analysis (DEA) (DEA-GEP) is presented to overcome the supplier selection problem. First, suppliers’ efficiencies are obtained through applying DEA. Then, the suppliers’ related data are utilized to train GEP to find the best trained DEA-GEP algorithm for predicting efficiency score of Decision Making Units (DMUs). The aforementioned data is also used to train Artificial Neural Network (ANN) to predict efficiency scores of DMUs. The proposed hybrid DEA-GEP is compared to integrated approach of Artificial Neural Network with Data Envelopment Analysis (DEA-ANN) to support the validity of the proposed model. The obtained results clearly show that the model based on GEP not only is more accurate than the DEA-ANN model, but also presents a mathematical function for efficiency score based on input and output data set. Finally, a real-life supplier selection problem is presented to show the applicability of the proposed hybrid DEA-GEP model.
Article 0 Reads 0 Citations Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model Ali Saghafinia, Atefeh Amindoust Published: 03 October 2016
The Journal of The Textile Institute, doi: 10.1080/00405000.2016.1238130
DOI See at publisher website
BOOK-CHAPTER 0 Reads 0 Citations Development of Fuzzy Applications for High Performance Induction Motor Drive Ali Saghafinia, Atefeh Amindoust Published: 18 November 2015
Induction Motors - Applications, Control and Fault Diagnostics, doi: 10.5772/61071
DOI See at publisher website
Article 0 Reads 5 Citations Empirical evidence of AMT practices and sustainable environmental initiatives in malaysian automotive SMEs Siti Zawiah Md Dawal, Farzad Tahriri, Yap Hwa Jen, Keith Cas... Published: 01 June 2015
International Journal of Precision Engineering and Manufacturing, doi: 10.1007/s12541-015-0154-6
DOI See at publisher website
Article 0 Reads 0 Citations Learning Improvement of DEA Technique in Decision Making for Manufacturing Applications Using DEA Excel-Solver Atefeh Amindoust, Ahmed Shamsuddin, Ali Saghafinia Published: 01 February 2014
Advanced Materials Research, doi: 10.4028/www.scientific.net/amr.903.425
DOI See at publisher website