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
Proceedings of the International Sym...
~
SpringerLink (Online service)
Proceedings of the International Symposium for Production Research 2019
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Proceedings of the International Symposium for Production Research 2019/ edited by Numan M. Durakbasa, M. Güneş Gençyılmaz.
其他作者:
Gençyılmaz, M. Güneş.
面頁冊數:
XXIV, 853 p. 329 illus., 259 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Industrial and Production Engineering. -
電子資源:
https://doi.org/10.1007/978-3-030-31343-2
ISBN:
9783030313432
Proceedings of the International Symposium for Production Research 2019
Proceedings of the International Symposium for Production Research 2019
[electronic resource] /edited by Numan M. Durakbasa, M. Güneş Gençyılmaz. - 1st ed. 2020. - XXIV, 853 p. 329 illus., 259 illus. in color.online resource. - Lecture Notes in Mechanical Engineering,2195-4356. - Lecture Notes in Mechanical Engineering,.
Artificial Intelligent Applications -- Modeling and Optimization of Surface Roughness Parameters of Stainless Steel by Artificial Intelligence Methods -- Using Artificial Intelligence for the Improvement of Weapon Efficiency -- Big Data and Analytics -- Industry 4.0 Score Prediction of Turkish SMEs via Data Classification -- The Gender Analysis of Enrolled Students: A Comparison Study of Austrian And Turkish Higher Education -- Energy Management -- Electricity Consumption Forecasting with Artificial Neural Network for Fast-Moving Consumer Goods Sector.
This book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain management.
ISBN: 9783030313432
Standard No.: 10.1007/978-3-030-31343-2doiSubjects--Topical Terms:
593943
Industrial and Production Engineering.
LC Class. No.: T55.4-60.8
Dewey Class. No.: 670
Proceedings of the International Symposium for Production Research 2019
LDR
:02746nam a22004095i 4500
001
1017993
003
DE-He213
005
20200705011350.0
007
cr nn 008mamaa
008
210318s2020 gw | s |||| 0|eng d
020
$a
9783030313432
$9
978-3-030-31343-2
024
7
$a
10.1007/978-3-030-31343-2
$2
doi
035
$a
978-3-030-31343-2
050
4
$a
T55.4-60.8
072
7
$a
TGP
$2
bicssc
072
7
$a
TEC009060
$2
bisacsh
072
7
$a
TGP
$2
thema
082
0 4
$a
670
$2
23
245
1 0
$a
Proceedings of the International Symposium for Production Research 2019
$h
[electronic resource] /
$c
edited by Numan M. Durakbasa, M. Güneş Gençyılmaz.
250
$a
1st ed. 2020.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2020.
300
$a
XXIV, 853 p. 329 illus., 259 illus. in color.
$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
Lecture Notes in Mechanical Engineering,
$x
2195-4356
505
0
$a
Artificial Intelligent Applications -- Modeling and Optimization of Surface Roughness Parameters of Stainless Steel by Artificial Intelligence Methods -- Using Artificial Intelligence for the Improvement of Weapon Efficiency -- Big Data and Analytics -- Industry 4.0 Score Prediction of Turkish SMEs via Data Classification -- The Gender Analysis of Enrolled Students: A Comparison Study of Austrian And Turkish Higher Education -- Energy Management -- Electricity Consumption Forecasting with Artificial Neural Network for Fast-Moving Consumer Goods Sector.
520
$a
This book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain management.
650
1 4
$a
Industrial and Production Engineering.
$3
593943
650
0
$a
Production engineering.
$3
566269
650
0
$a
Industrial engineering.
$3
679492
700
1
$a
Gençyılmaz, M. Güneş.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1312900
700
1
$a
Durakbasa, Numan M.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1301387
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030313425
776
0 8
$i
Printed edition:
$z
9783030313449
776
0 8
$i
Printed edition:
$z
9783030313456
830
0
$a
Lecture Notes in Mechanical Engineering,
$x
2195-4356
$3
1253850
856
4 0
$u
https://doi.org/10.1007/978-3-030-31343-2
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
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