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Handbook on data envelopment a...
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Mathematical programming
Data envelopment analysis
147
Data-Envelopment-Analyse
144
Theorie
107
Theory
107
Technical efficiency
54
Technische Effizienz
54
Efficiency
42
Effizienz
34
Performance measurement
30
Performance-Messung
30
Data envelopment analysis (DEA)
25
China
24
Data Envelopment Analysis
24
Mathematische Optimierung
17
Programming
17
Datenanalyse
16
Benchmarking
14
USA
13
United States
13
Firm performance
12
Productivity
12
Produktivität
12
Unternehmenserfolg
12
William W. Cooper
12
Big Data
11
Big data
11
DEA
9
Innovation
9
Lieferkette
9
Operations Research
9
Returns to scale
9
Supply chain
9
efficiency
9
Consumer behaviour
8
Decomposition method
8
Dekompositionsverfahren
8
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8
Measurement
8
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8
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16
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17
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Zhu, Joe
9
Chen, Kun
4
Cooper, William W.
3
Charnes, Abraham
2
Cooper, W. W.
2
Lim, Sungmook
2
Zhu, J.
2
Ahn, Taesik
1
Charnes, A.
1
Chu, Junfei
1
Cook, W. D.
1
Cook, Wade D.
1
Du, B.
1
Evans, David S.
1
Guo, Chuanyin
1
Heckman, James J.
1
Jia, S. J.
1
Khezrimotlagh, Dariush
1
Liang, L.
1
Rui, Yuting
1
Seiford, Lawrence M.
1
Shi, Yu
1
Sueyoshi, Toshiyuki
1
Thrall, Robert McDowell
1
Yang, G. K.
1
Yi, J.
1
Yu, Anyu
1
Zha, Y.
1
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European journal of operational research : EJOR
7
Omega : the international journal of management science
2
Data-enabled analytics : DEA for big data
1
International journal of production research
1
Journal of econometrics
1
Journal of productivity analysis
1
Journal of the Operational Research Society : OR
1
Management science : journal of the Institute for Operations Research and the Management Sciences
1
Socio-economic planning sciences : the international journal of public sector decision-making
1
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ECONIS (ZBW)
17
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1
Chance constrained programming formulations for stochastic characterizations of efficiency and dominance in DEA
Cooper, William W.
(
contributor
)
- In:
Journal of productivity analysis
9
(
1998
)
1
,
pp. 53-79
Persistent link: https://www.econbiz.de/10001236197
Saved in:
2
A goal programming constrained regression review of the Bell System breakup
Charnes, Abraham
- In:
Management science : journal of the Institute for …
34
(
1988
)
1
,
pp. 1-26
Persistent link: https://www.econbiz.de/10001057361
Saved in:
3
Efficiency characterizations in different DEA models
Ahn, Taesik
- In:
Socio-economic planning sciences : the international …
22
(
1988
)
6
,
pp. 253-257
Persistent link: https://www.econbiz.de/10001058095
Saved in:
4
Acceleration of large-scale DEA computations using random forest classification
Yu, Anyu
;
Shi, Yu
;
Zhu, Joe
- In:
Data-enabled analytics : DEA for big data
,
(pp. 31-49)
.
2021
Persistent link: https://www.econbiz.de/10012880167
Saved in:
5
A note on two-stage network DEA model : frontier projection and duality
Lim, Sungmook
;
Zhu, Joe
- In:
European journal of operational research : EJOR
248
(
2016
)
1
,
pp. 342-346
Persistent link: https://www.econbiz.de/10011434843
Saved in:
6
Primal-dual correspondence and frontier projections in two-stage network DEA models
Lim, Sungmook
;
Zhu, Joe
- In:
Omega : the international journal of management science
83
(
2018
),
pp. 236-248
Persistent link: https://www.econbiz.de/10011989179
Saved in:
7
Computational tractability of chance constrained data envelopment analysis
Chen, Kun
;
Zhu, Joe
- In:
European journal of operational research : EJOR
274
(
2019
)
3
,
pp. 1037-1046
Persistent link: https://www.econbiz.de/10011990293
Saved in:
8
Second order cone programming approach to two-stage network data envelopment analysis
Chen, Kun
;
Zhu, Joe
- In:
European journal of operational research : EJOR
262
(
2017
)
1
,
pp. 231-238
Persistent link: https://www.econbiz.de/10011785736
Saved in:
9
Non-cooperative two-stage network DEA model : linear vs. parametric linear
Guo, Chuanyin
;
Zhu, Joe
- In:
European journal of operational research : EJOR
258
(
2017
)
1
,
pp. 398-400
Persistent link: https://www.econbiz.de/10011642238
Saved in:
10
A conic relaxation model for searching for the global optimum of network data envelopment analysis
Chen, Kun
;
Cook, Wade D.
;
Zhu, Joe
- In:
European journal of operational research : EJOR
280
(
2020
)
1
,
pp. 242-253
Persistent link: https://www.econbiz.de/10012132386
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