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Reza Farzipoor Saen
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Year
A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context
M Azadi, M Jafarian, RF Saen, SM Mirhedayatian
Computers & operations research 54, 274-285, 2015
4462015
Measuring corporate sustainability management: A data envelopment analysis approach
KH Lee, RF Saen
International Journal of Production Economics 140 (1), 219-226, 2012
4252012
A novel network data envelopment analysis model for evaluating green supply chain management
SM Mirhedayatian, M Azadi, RF Saen
International Journal of Production Economics 147, 544-554, 2014
3812014
Suppliers selection in the presence of both cardinal and ordinal data
RF Saen
European journal of operational research 183 (2), 741-747, 2007
2822007
Measuring eco-efficiency based on green indicators and potentials in energy saving and undesirable output abatement
K Rashidi, RF Saen
Energy Economics 50, 18-26, 2015
2022015
Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach
RK Mavi, RF Saen, M Goh
Technological Forecasting and Social Change 144, 553-562, 2019
2012019
Assessing sustainability of supply chains by double frontier network DEA: A big data approach
T Badiezadeh, RF Saen, T Samavati
Computers & Operations Research 98, 284-290, 2018
2012018
Efficiency and effectiveness in airline performance using a SBM-NDEA model in the presence of shared input
M Tavassoli, GR Faramarzi, RF Saen
Journal of Air Transport Management 34, 146-153, 2014
1932014
Technical, environmental and eco-efficiency measurement for supplier selection: An extension and application of data envelopment analysis
M Mahdiloo, RF Saen, KH Lee
International journal of production economics 168, 279-289, 2015
1792015
A new mathematical approach for suppliers selection: Accounting for non-homogeneity is important
RF Saen
Applied mathematics and computation 185 (1), 84-95, 2007
1762007
A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors
M Azadi, RF Saen
Expert Systems with applications 38 (10), 12231-12236, 2011
1742011
Developing a new data envelopment analysis methodology for supplier selection in the presence of both undesirable outputs and imprecise data
R Farzipoor Saen
The International Journal of Advanced Manufacturing Technology 51, 1243-1250, 2010
1582010
A new network epsilon-based DEA model for supply chain performance evaluation
M Tavana, H Mirzagoltabar, SM Mirhedayatian, RF Saen, M Azadi
Computers & Industrial Engineering 66 (2), 501-513, 2013
1372013
Developing distinctive two-stage data envelopment analysis models: An application in evaluating the sustainability of supply chain management
M Khodakarami, A Shabani, RF Saen, M Azadi
Measurement 70, 62-74, 2015
1312015
Restricting weights in supplier selection decisions in the presence of dual-role factors
RF Saen
Applied Mathematical Modelling 34 (10), 2820-2830, 2010
1302010
A new model for selecting third-party reverse logistics providers in the presence of multiple dual-role factors
RF Saen
The International Journal of Advanced Manufacturing Technology 46, 405-410, 2010
1232010
Using data envelopment analysis for estimating energy saving and undesirable output abatement: a case study in the Organization for Economic Co-Operation and Development (OECD …
K Rashidi, A Shabani, RF Saen
Journal of Cleaner Production 105, 241-252, 2015
1102015
Forecasting efficiency of green suppliers by dynamic data envelopment analysis and artificial neural networks
H Shabanpour, S Yousefi, RF Saen
Journal of cleaner production 142, 1098-1107, 2017
1092017
Evaluating sustainability of supply chains by two-stage range directional measure in the presence of negative data
M Izadikhah, RF Saen
Transportation Research Part D: Transport and Environment 49, 110-126, 2016
1092016
Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors
M Izadikhah, RF Saen
Computers & Operations Research 100, 343-367, 2018
1062018
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