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ORCIDMohammad Khoveyni
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2020 – today
- 2023
[j19]Eshagh Esfandiar, Robabeh Eslami
, Mohammad Khoveyni, Alireza Gilani:
Identifying the closest most productive scale size unit in data envelopment analysis. OR Spectr. 45(2): 623-660 (2023)- 2022
- [j18]Robabeh Eslami, Mohammad Khoveyni:
A Novel Enhanced Russell Graph Efficiency Measure in Network DEA. Int. J. Inf. Technol. Decis. Mak. 21(2): 789-819 (2022) - [j17]Mohammad Khoveyni, Robabeh Eslami:
Two-stage network DEA with shared resources: Illustrating the drawbacks and measuring the overall efficiency. Knowl. Based Syst. 250: 108725 (2022) - [j16]Mohammad Khoveyni, Robabeh Eslami:
Merging two-stage series network structures: A DEA-based approach. OR Spectr. 44(1): 273-302 (2022) - 2021
- [j15]Mohammad Khoveyni, Robabeh Eslami:
Efficiency stability region for two-stage production processes with intermediate products. Comput. Ind. Eng. 151: 106950 (2021) - [j14]Hoda Golshani, Mohammad Khoveyni, Hadi Bagherzadeh Valami, Robabeh Eslami:
Performance evaluation in a two-stage network-DEA with intermediate products. Int. J. Inf. Decis. Sci. 13(1): 42-58 (2021) - [j13]Mohammad Khoveyni, Robabeh Eslami:
DEA Efficiency Region for Variations of Inputs and Outputs. Int. J. Inf. Technol. Decis. Mak. 20(2): 707-732 (2021) - [j12]Maryam Shadab, Saber Saati, Reza Farzipoor Saen, Mohammad Khoveyni, Amin Mostafaee:
Measuring congestion in sustainable supply chain based on data envelopment analysis. Neural Comput. Appl. 33(19): 12477-12491 (2021) - [j11]Maryam Shadab, Saber Saati, Reza Farzipoor Saen, Mohammad Khoveyni, Amin Mostafaee:
Detecting congestion in DEA by solving one model. Oper. Res. Decis. 31(1) (2021)
2010 – 2019
- 2019
- [j10]Mohammad Khoveyni, Robabeh Eslami, Hirofumi Fukuyama, Guoliang Yang, Biresh K. Sahoo:
Integer data in DEA: Illustrating the drawbacks and recognizing congestion. Comput. Ind. Eng. 135: 675-688 (2019) - 2017
- [j9]Mohammad Khoveyni, Robabeh Eslami, Guoliang Yang:
Negative data in DEA: Recognizing congestion and specifying the least and the most congested decision making units. Comput. Oper. Res. 79: 39-48 (2017) - [j8]Mohammad Khoveyni, Robabeh Eslami:
Comment on "Using multi-level frontiers in DEA models to grade countries/territories" by G.-l. Yang et al. [Journal of Informetrics 10(1) (2016), 238-253]. J. Informetrics 11(3): 649-654 (2017) - 2016
- [j7]Biresh K. Sahoo, Mohammad Khoveyni, Robabeh Eslami, Pradipta Chaudhury:
Returns to scale and most productive scale size in DEA with negative data. Eur. J. Oper. Res. 255(2): 545-558 (2016) - [j6]Mohammad Khoveyni, Robabeh Eslami:
Managerial goals directed benchmarking for organised efficiency in data envelopment analysis. Int. J. Inf. Decis. Sci. 8(1): 1-23 (2016) - [j5]Mohammad Khoveyni, Robabeh Eslami, Guoliang Yang:
Data envelopment analysis in the absence of convexity: Specifying efficiency status and estimating returns to scale. J. Comput. Appl. Math. 304: 172-200 (2016) - [j4]Jian Cao, Guanghua Chen, Mohammad Khoveyni, Robabeh Eslami, Guoliang Yang:
Specification of a performance indicator using the evidential-reasoning approach. Knowl. Based Syst. 92: 138-150 (2016) - 2013
- [j3]Mohammad Khoveyni, Robabeh Eslami, Mohammad Khodabakhshi, Gholam Reza Jahanshahloo, F. Hosseinzadeh Lotfi:
Recognizing strong and weak congestion slack based in data envelopment analysis. Comput. Ind. Eng. 64(2): 731-738 (2013) - [j2]Robabeh Eslami, Mohammad Khoveyni:
Right and left returns to scales in data envelopment analysis: Determining type and measuring value. Comput. Ind. Eng. 65(3): 500-508 (2013) - 2012
- [j1]Robabeh Eslami, Mohammad Khodabakhshi, Gholam Reza Jahanshahloo, F. Hosseinzadeh Lotfi, Mohammad Khoveyni:
Estimating most productive scale size with imprecise-chance constrained input-output orientation model in data envelopment analysis. Comput. Ind. Eng. 63(1): 254-261 (2012)
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