Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach
Kybernetika, Tome 58 (2022) no. 2, pp. 200-217
Cet article a éte moissonné depuis la source Czech Digital Mathematics Library
In classic data envelopment analysis models, two-stage network structures are studied in cases in which the input/output data set are deterministic. In many real applications, however, we face uncertainty. This paper proposes a two-stage network DEA model when the input/output data are stochastic. A stochastic two-stage network DEA model is formulated based on the chance-constrained programming. Linearization techniques and the assumption of single underlying factor of the data are used to construct the equivalent deterministic linear programming model. The relationship between the stochastic efficiency of each stage and stochastic centralized efficiency of the whole process, at different confidence levels, is discussed. To illustrate the real applicability of the proposed approach, a real case on 16 commercial banks in China is given.
In classic data envelopment analysis models, two-stage network structures are studied in cases in which the input/output data set are deterministic. In many real applications, however, we face uncertainty. This paper proposes a two-stage network DEA model when the input/output data are stochastic. A stochastic two-stage network DEA model is formulated based on the chance-constrained programming. Linearization techniques and the assumption of single underlying factor of the data are used to construct the equivalent deterministic linear programming model. The relationship between the stochastic efficiency of each stage and stochastic centralized efficiency of the whole process, at different confidence levels, is discussed. To illustrate the real applicability of the proposed approach, a real case on 16 commercial banks in China is given.
DOI :
10.14736/kyb-2022-2-0200
Classification :
90B50, 90C05
Keywords: stochastic DEA; chance-constrained models; two-stage network systems; efficiency
Keywords: stochastic DEA; chance-constrained models; two-stage network systems; efficiency
@article{10_14736_kyb_2022_2_0200,
author = {Amirteimoori, Alireza and Mehdizadeh, Saber and Kordrostami, Sohrab},
title = {Stochastic performance measurement in two-stage network processes: {A} data envelopment analysis approach},
journal = {Kybernetika},
pages = {200--217},
year = {2022},
volume = {58},
number = {2},
doi = {10.14736/kyb-2022-2-0200},
zbl = {07584153},
language = {en},
url = {http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-2-0200/}
}
TY - JOUR AU - Amirteimoori, Alireza AU - Mehdizadeh, Saber AU - Kordrostami, Sohrab TI - Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach JO - Kybernetika PY - 2022 SP - 200 EP - 217 VL - 58 IS - 2 UR - http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-2-0200/ DO - 10.14736/kyb-2022-2-0200 LA - en ID - 10_14736_kyb_2022_2_0200 ER -
%0 Journal Article %A Amirteimoori, Alireza %A Mehdizadeh, Saber %A Kordrostami, Sohrab %T Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach %J Kybernetika %D 2022 %P 200-217 %V 58 %N 2 %U http://geodesic.mathdoc.fr/articles/10.14736/kyb-2022-2-0200/ %R 10.14736/kyb-2022-2-0200 %G en %F 10_14736_kyb_2022_2_0200
Amirteimoori, Alireza; Mehdizadeh, Saber; Kordrostami, Sohrab. Stochastic performance measurement in two-stage network processes: A data envelopment analysis approach. Kybernetika, Tome 58 (2022) no. 2, pp. 200-217. doi: 10.14736/kyb-2022-2-0200
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