Reza Farzipoor Saen

Orcid: 0000-0002-0851-6509

According to our database1, Reza Farzipoor Saen authored at least 94 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
The COVID-19 pandemic and the performance of healthcare supply chains.
Ann. Oper. Res., April, 2024

Correction: A novel network DEA-R model for evaluating hospital services supply chain performance.
Ann. Oper. Res., January, 2024

Double hedonic price-characteristics frontier estimation for IoT service providers in the industry 5.0 era: A nonconvex perspective accommodating ratios.
Eur. J. Oper. Res., 2024

2023
Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic.
Ann. Oper. Res., September, 2023

A novel network DEA-R model for evaluating hospital services supply chain performance.
Ann. Oper. Res., May, 2023

Developing a linear stochastic two-stage data envelopment analysis model for evaluating sustainability of supply chains: a case study in welding industry.
Ann. Oper. Res., March, 2023

How to improve the future efficiency of Covid-19 treatment centers? A hybrid framework combining artificial neural network and congestion approach of data envelopment analysis.
Comput. Ind. Eng., February, 2023

Cross-efficiency evaluation and improvement in two-stage network data envelopment analysis.
Ann. Oper. Res., February, 2023

Assessing the sustainability of cloud computing service providers for Industry 4.0: a state-of-the-art analytical approach.
Int. J. Prod. Res., 2023

2022
Sustainability assessment of supply chains by a novel robust two-stage network DEA model: a case study in the transport industry.
Soft Comput., 2022

Assessing green performance of power plants by multiple hybrid returns to scale technologies.
OR Spectr., 2022

A slacks-based nonlinear DEA model with integer data: an application to departments of the Islamic Azad University, Karaj Branch in Iran.
Oper. Res. Decis., 2022

Cost efficiency evaluation in sustainable supply chains with marginal surcharge values for harmful environmental factors: a case study in a food industry.
Oper. Res., 2022

Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data.
Oper. Res., 2022

A Modified-Range Directional Measure for Assessing the Sustainability of Suppliers by DEA/UTASTAR.
J. Glob. Inf. Manag., 2022

Theory of binary-valued data envelopment analysis: an application in assessing the sustainability of suppliers.
Ind. Manag. Data Syst., 2022

Measuring the sustainability and resilience of blood supply chains.
Decis. Support Syst., 2022

A new fuzzy network data envelopment analysis model for measuring efficiency and effectiveness: assessing the sustainability of railways.
Appl. Intell., 2022

Developing a new chance constrained NDEA model to measure performance of sustainable supply chains.
Ann. Oper. Res., 2022

2021
Sustainable clustering of customers using capacitive artificial neural networks: a case study in Pegah Distribution Company.
RAIRO Oper. Res., 2021

Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains.
RAIRO Oper. Res., 2021

Detecting congestion in DEA by solving one model.
Oper. Res. Decis., 2021

Measuring congestion in sustainable supply chain based on data envelopment analysis.
Neural Comput. Appl., 2021

How to use fuzzy screening system and data envelopment analysis for clustering sustainable suppliers? A case study in Iran.
J. Enterp. Inf. Manag., 2021

A data envelopment analysis approach by partial impacts between inputs and desirable-undesirable outputs for sustainable supplier selection problem.
Ind. Manag. Data Syst., 2021

Window data envelopment analysis approach: A review and bibliometric analysis.
Expert Syst. J. Knowl. Eng., 2021

Assessing sustainability of supply chains by fuzzy Malmquist network data envelopment analysis: Incorporating double frontier and common set of weights.
Appl. Soft Comput., 2021

2020
New data envelopment analysis models for assessing sustainability Part 2: A static data envelopment analysis approach.
Expert Syst. J. Knowl. Eng., 2020

New data envelopment analysis models for assessing sustainability Part 1: A dynamic data envelopment analysis approach.
Expert Syst. J. Knowl. Eng., 2020

Data envelopment analysis and robust optimization: A review.
Expert Syst. J. Knowl. Eng., 2020

Developing a novel inverse data envelopment analysis (DEA) model for evaluating after-sales units.
Expert Syst. J. Knowl. Eng., 2020

Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains.
Decis. Sci., 2020

How to measure bullwhip effect by network data envelopment analysis?
Comput. Ind. Eng., 2020

Preface: sustainable operations in manufacturing enterprise.
Ann. Oper. Res., 2020

Ranking sustainable suppliers by context-dependent data envelopment analysis.
Ann. Oper. Res., 2020

2019
Developing a new chance constrained NDEA model to measure the performance of humanitarian supply chains.
Int. J. Prod. Res., 2019

A robust hybrid artificial neural network double frontier data envelopment analysis approach for assessing sustainability of power plants under uncertainty.
Expert Syst. J. Knowl. Eng., 2019

Assessing sustainability of supply chains: An inverse network dynamic DEA model.
Comput. Ind. Eng., 2019

2018
Economies of scope in two-stage production systems: A data envelopment analysis approach.
RAIRO Oper. Res., 2018

Modelling undesirable outputs in multiple objective data envelopment analysis.
J. Oper. Res. Soc., 2018

Integrated data envelopment analysis: Linear vs. nonlinear model.
Eur. J. Oper. Res., 2018

Assessing sustainability of supply chains by chance-constrained two-stage DEA model in the presence of undesirable factors.
Comput. Oper. Res., 2018

Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain.
Comput. Oper. Res., 2018

Assessing sustainability of supply chains by double frontier network DEA: A big data approach.
Comput. Oper. Res., 2018

A new dynamic range directional measure for two-stage data envelopment analysis models with negative data.
Comput. Ind. Eng., 2018

How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?
Ann. Oper. Res., 2018

2017
A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation.
Neural Comput. Appl., 2017

How to evaluate sustainability of supply chains? A dynamic network DEA approach.
Ind. Manag. Data Syst., 2017

A joint measurement of efficiency and effectiveness for ranking power distribution units in Iran: integrated data envelopment analysis approach.
Int. J. Inf. Decis. Sci., 2017

How to Assess Sustainability of Suppliers in the Presence of Dual-Role Factor and Volume Discounts? A Data Envelopment Analysis Approach.
Asia Pac. J. Oper. Res., 2017

2016
A new hybrid decision making system for supplier selection.
RAIRO Oper. Res., 2016

Concurrent estimation of efficiency, effectiveness and returns to scale.
Int. J. Syst. Sci., 2016

2015
Selecting the best supply chain by goal programming and network data envelopment analysis.
RAIRO Oper. Res., 2015

Ranking units and determining dominance relations in the cost efficiency analysis.
RAIRO Oper. Res., 2015

Obviating some of the theoretical barriers of data envelopment analysis-discriminant analysis: an application in predicting cluster membership of customers.
J. Oper. Res. Soc., 2015

Developing network data envelopment analysis model for supply chain performance measurement in the presence of zero data.
Expert Syst. J. Knowl. Eng., 2015

A new data envelopment analysis method for ranking decision making units: an application in industrial parks.
Expert Syst. J. Knowl. Eng., 2015

A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context.
Comput. Oper. Res., 2015

2014
Goal Directed Programming for Determining Process Efficiency Using Data Envelopment Analysis.
J. Math. Model. Algorithms Oper. Res., 2014

A joint measurement of efficiency and effectiveness for the best supplier selection using integrated data envelopment analysis approach.
Int. J. Math. Oper. Res., 2014

Developing a New Theory of Integer-Valued Data Envelopment Analysis for Supplier Selection in the Presence of Stochastic Data.
Int. J. Inf. Syst. Supply Chain Manag., 2014

Optimal direct mailing modelling based on data envelopment analysis.
Expert Syst. J. Knowl. Eng., 2014

A game theoretic approach to modeling undesirable outputs and efficiency decomposition in data envelopment analysis.
Appl. Math. Comput., 2014

2013
Developing a Chance-Constrained Free Disposable Hull Model for Selecting Third-Party Reverse Logistics Providers.
Int. J. Oper. Res. Inf. Syst., 2013

The use of data envelopment analysis for international market selection in the presence of multiple dual-role factors.
Int. J. Bus. Inf. Syst., 2013

Direct mailing decisions based on the worst and best practice cross-efficiency evaluations.
Int. J. Bus. Inf. Syst., 2013

A new network epsilon-based DEA model for supply chain performance evaluation.
Comput. Ind. Eng., 2013

2012
A data envelopment analysis model for selecting suppliers in the presence of both dual-role factors and non-discretionary inputs.
Int. J. Inf. Decis. Sci., 2012

Developing a worst practice DEA model for selecting suppliers in the presence of imprecise data and dual-role factor.
Int. J. Appl. Decis. Sci., 2012

Assessment of the site effect vulnerability within urban regions by data envelopment analysis: A case study in Iran.
Comput. Geosci., 2012

2011
Developing a WPF-CCR model for selecting suppliers in the presence of stochastic data.
OR Insight, 2011

Media selection in the presence of flexible factors and imprecise data.
J. Oper. Res. Soc., 2011

A new approach for weight derivation using data envelopment analysis in the analytic hierarchy process.
J. Oper. Res. Soc., 2011

A decision model for selecting the best entry modes via data envelopment analysis.
Int. J. Appl. Decis. Sci., 2011

A new chance-constrained data envelopment analysis for selecting third-party reverse logistics providers in the existence of dual-role factors.
Expert Syst. Appl., 2011

A Decision Model for Selecting Third-Party Reverse Logistics Providers in the Presence of Both Dual-Role Factors and Imprecise Data.
Asia Pac. J. Oper. Res., 2011

2010
A mathematical model for supplier selection in quantity discount environments.
Int. J. Math. Oper. Res., 2010

Supplier Selection by the Pair of AR-NF-IDEA Models.
Int. J. Inf. Syst. Supply Chain Manag., 2010

A New Look at Selecting Third-Party Reverse Logistics Providers.
Int. J. Inf. Syst. Supply Chain Manag., 2010

Technology selection in the presence of dual-role factors.
Int. J. Adv. Oper. Manag., 2010

A decision model for selecting appropriate suppliers.
Int. J. Adv. Oper. Manag., 2010

2009
Supplier selection by the pair of nondiscretionary factors-imprecise data envelopment analysis models.
J. Oper. Res. Soc., 2009

Suppliers Selection in Volume Discount Environments in the Presence of Both Cardinal and Ordinal Data.
Int. J. Inf. Syst. Supply Chain Manag., 2009

A decision model for ranking suppliers in the presence of cardinal and ordinal data, weight restrictions, and nondiscretionary factors.
Ann. Oper. Res., 2009

2007
Suppliers selection in the presence of both cardinal and ordinal data.
Eur. J. Oper. Res., 2007

A new mathematical approach for suppliers selection: Accounting for non-homogeneity is important.
Appl. Math. Comput., 2007

2006
An algorithm for ranking technology suppliers in the presence of nondiscretionary factors.
Appl. Math. Comput., 2006

A decision model for selecting technology suppliers in the presence of nondiscretionary factors.
Appl. Math. Comput., 2006

A decision model for technology selection in the existence of both cardinal and ordinal data.
Appl. Math. Comput., 2006

A decision model for selecting slightly non-homogeneous technologies.
Appl. Math. Comput., 2006

Technologies ranking in the presence of both cardinal and ordinal data.
Appl. Math. Comput., 2006

2005
The effect of correlation coefficient among multiple input vectors on the efficiency mean in data envelopment analysis.
Appl. Math. Comput., 2005

Determining relative efficiency of slightly non-homogeneous decision making units by data envelopment analysis: a case study in IROST.
Appl. Math. Comput., 2005

Developing a nondiscretionary model of slacks-based measure in data envelopment analysis.
Appl. Math. Comput., 2005


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