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
Management Approach for Resource-Pro...
~
SpringerLink (Online service)
Management Approach for Resource-Productive Operations = Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Management Approach for Resource-Productive Operations/ by Markus Hammer.
其他題名:
Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /
作者:
Hammer, Markus.
面頁冊數:
XXV, 258 p. 98 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Operations research. -
電子資源:
https://doi.org/10.1007/978-3-658-22939-9
ISBN:
9783658229399
Management Approach for Resource-Productive Operations = Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /
Hammer, Markus.
Management Approach for Resource-Productive Operations
Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /[electronic resource] :by Markus Hammer. - 1st ed. 2019. - XXV, 258 p. 98 illus.online resource. - Industrial Management ,2523-3866. - Industrial Management ,.
Challenges in Manufacturing in Process Industries -- Impact of Digital Technologies in Manufacturing -- Performance Opportunities with Decision Support Systems -- Achieving Resource-Productive Operations -- Learning from Case Research in the Cement, Ammonia, and Pulp Industry.
Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice. Contents Challenges in Manufacturing in Process Industries Impact of Digital Technologies in Manufacturing Performance Opportunities with Decision Support Systems Achieving Resource-Productive Operations Learning from Case Research in the Cement, Ammonia, and Pulp Industry Target Groups Researchers and students in the fields of industrial engineering and operations management Practitioners in the fields of production management, process engineering, and industrial management The Author Markus Hammer is a senior manager of operations learning in a global consulting firm and serves as lecturer at the Institute of Innovation and Industrial Management at Graz University of Technology in Austria.
ISBN: 9783658229399
Standard No.: 10.1007/978-3-658-22939-9doiSubjects--Topical Terms:
573517
Operations research.
LC Class. No.: HD30.23
Dewey Class. No.: 658.40301
Management Approach for Resource-Productive Operations = Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /
LDR
:03125nam a22004095i 4500
001
1016568
003
DE-He213
005
20200629144653.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783658229399
$9
978-3-658-22939-9
024
7
$a
10.1007/978-3-658-22939-9
$2
doi
035
$a
978-3-658-22939-9
050
4
$a
HD30.23
072
7
$a
KJT
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
KJT
$2
thema
072
7
$a
KJMD
$2
thema
082
0 4
$a
658.40301
$2
23
100
1
$a
Hammer, Markus.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1311016
245
1 0
$a
Management Approach for Resource-Productive Operations
$h
[electronic resource] :
$b
Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma /
$c
by Markus Hammer.
250
$a
1st ed. 2019.
264
1
$a
Wiesbaden :
$b
Springer Fachmedien Wiesbaden :
$b
Imprint: Springer Gabler,
$c
2019.
300
$a
XXV, 258 p. 98 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
Industrial Management ,
$x
2523-3866
505
0
$a
Challenges in Manufacturing in Process Industries -- Impact of Digital Technologies in Manufacturing -- Performance Opportunities with Decision Support Systems -- Achieving Resource-Productive Operations -- Learning from Case Research in the Cement, Ammonia, and Pulp Industry.
520
$a
Markus Hammer investigates a time-based and analytics-supported operations management approach. He explores five perspectives: 1) the needs of industry, in particular manufacturing in process industries, 2) the impact of digitization, with focus on Big Data and analytics, 3) the management of operations through time-based performance metrics, 4) how operations improvement methods and advanced process control help achieve resource-productive operations and 5) learning from practice based on two empirical case studies. The author conceives, explains, and tests an implementation methodology. The final case study proves that the developed implementation methodology works in practice. Contents Challenges in Manufacturing in Process Industries Impact of Digital Technologies in Manufacturing Performance Opportunities with Decision Support Systems Achieving Resource-Productive Operations Learning from Case Research in the Cement, Ammonia, and Pulp Industry Target Groups Researchers and students in the fields of industrial engineering and operations management Practitioners in the fields of production management, process engineering, and industrial management The Author Markus Hammer is a senior manager of operations learning in a global consulting firm and serves as lecturer at the Institute of Innovation and Industrial Management at Graz University of Technology in Austria.
650
0
$a
Operations research.
$3
573517
650
0
$a
Decision making.
$3
528319
650
0
$a
Production management.
$3
566447
650
0
$a
Management information systems.
$3
561123
650
1 4
$a
Operations Research/Decision Theory.
$3
669176
650
2 4
$a
Production.
$3
1111231
650
2 4
$a
Business Information Systems.
$3
669204
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783658229382
776
0 8
$i
Printed edition:
$z
9783658229405
830
0
$a
Industrial Management ,
$x
2523-3866
$3
1311017
856
4 0
$u
https://doi.org/10.1007/978-3-658-22939-9
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