Management Approach for Resource-Productive Operations: Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma (Industrial Management) - Softcover
Synopsis
An Industrial Management Case Research
"synopsis" may belong to another edition of this title.
About 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.
From the Back Cover
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 fromCase 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.
"About this title" may belong to another edition of this title.
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Management Approach for Resource-Productive Operations
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 authorconceives, explains,and testsan implementation methodology.The final case study proves that the developed implementation methodology works in practice. 284 pp. Englisch. Seller Inventory # 9783658229382
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Management Approach for Resource-Productive Operations
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ISBN 13: 9783658229382
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Management Approach for Resource-Productive Operations: Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma
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Management Approach for Resource-Productive Operations | Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma
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Taschenbuch. Condition: Neu. Management Approach for Resource-Productive Operations | Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma | Markus Hammer | Taschenbuch | Industrial Management | xxv | Englisch | 2018 | Springer VS | EAN 9783658229382 | Verantwortliche Person für die EU: Springer Gabler in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 113994036
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Management Approach for Resource-Productive Operations : Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 authorconceives, explains,and testsan implementation methodology.The final case study proves that the developed implementation methodology works in practice. Seller Inventory # 9783658229382