語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Stochastic Benchmarking = Theory and Applications /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Stochastic Benchmarking/ by Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh.
其他題名:
Theory and Applications /
作者:
Amirteimoori, Alireza.
其他作者:
Mehdizadeh, Saber.
面頁冊數:
XIII, 145 p. 18 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Optimization. -
電子資源:
https://doi.org/10.1007/978-3-030-89869-4
ISBN:
9783030898694
Stochastic Benchmarking = Theory and Applications /
Amirteimoori, Alireza.
Stochastic Benchmarking
Theory and Applications /[electronic resource] :by Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh. - 1st ed. 2022. - XIII, 145 p. 18 illus.online resource. - International Series in Operations Research & Management Science,3172214-7934 ;. - International Series in Operations Research & Management Science,227.
1. Benchmarking -- 2. An Introduction to Data Envelopment Analysis -- 3. Probability Theory -- 4. Stochastic Data Envelopment Analysis -- 5. Stochastic Network Data Envelopment Analysis -- 6. Stochastic Scale Elasticity.
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book’s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.
ISBN: 9783030898694
Standard No.: 10.1007/978-3-030-89869-4doiSubjects--Topical Terms:
669174
Optimization.
LC Class. No.: T57.6-.97
Dewey Class. No.: 658.403
Stochastic Benchmarking = Theory and Applications /
LDR
:02746nam a22004335i 4500
001
1091721
003
DE-He213
005
20220114231558.0
007
cr nn 008mamaa
008
221228s2022 sz | s |||| 0|eng d
020
$a
9783030898694
$9
978-3-030-89869-4
024
7
$a
10.1007/978-3-030-89869-4
$2
doi
035
$a
978-3-030-89869-4
050
4
$a
T57.6-.97
072
7
$a
KJT
$2
bicssc
072
7
$a
KJMD
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
KJT
$2
thema
072
7
$a
KJMD
$2
thema
082
0 4
$a
658.403
$2
23
100
1
$a
Amirteimoori, Alireza.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1399342
245
1 0
$a
Stochastic Benchmarking
$h
[electronic resource] :
$b
Theory and Applications /
$c
by Alireza Amirteimoori, Biresh K. Sahoo, Vincent Charles, Saber Mehdizadeh.
250
$a
1st ed. 2022.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2022.
300
$a
XIII, 145 p. 18 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
International Series in Operations Research & Management Science,
$x
2214-7934 ;
$v
317
505
0
$a
1. Benchmarking -- 2. An Introduction to Data Envelopment Analysis -- 3. Probability Theory -- 4. Stochastic Data Envelopment Analysis -- 5. Stochastic Network Data Envelopment Analysis -- 6. Stochastic Scale Elasticity.
520
$a
This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and interpretations of the mathematical programs, which are combined with economic and organizational thinking. The book’s main purpose is to shed light on the advantages of the different methods in deterministic and stochastic environments and thoroughly prepare readers to properly use these methods in various cases. Simple examples, along with graphical illustrations and real-world applications in industry, are provided for a better understanding. The models introduced here can be easily used in both theoretical and real-world evaluations. This book is intended for graduate and PhD students, advanced consultants, and practitioners with an interest in quantitative performance evaluation.
650
2 4
$a
Optimization.
$3
669174
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
650
2 4
$a
Stochastic Modelling.
$3
1366661
650
1 4
$a
Operations Research and Decision Theory.
$3
1366301
650
0
$a
Mathematical optimization.
$3
527675
650
0
$a
Mathematical models.
$3
527886
650
0
$a
Stochastic models.
$3
683908
650
0
$a
Operations research.
$3
573517
700
1
$a
Mehdizadeh, Saber.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1399344
700
1
$a
Charles, Vincent.
$e
editor.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1311034
700
1
$a
Sahoo, Biresh K.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1399343
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030898687
776
0 8
$i
Printed edition:
$z
9783030898700
776
0 8
$i
Printed edition:
$z
9783030898717
830
0
$a
International Series in Operations Research & Management Science,
$x
0884-8289 ;
$v
227
$3
1254441
856
4 0
$u
https://doi.org/10.1007/978-3-030-89869-4
912
$a
ZDB-2-BUM
912
$a
ZDB-2-SXBM
950
$a
Business and Management (SpringerNature-41169)
950
$a
Business and Management (R0) (SpringerNature-43719)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入