Markus Hammer

Management Approach for Resource-Productive Operations (eBook, PDF)

Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Fachmedien Wiesbaden
• Seitenzahl: 258
• Erscheinungstermin: 10. Juli 2018
• Englisch
• ISBN-13: 9783658229399
• Artikelnr.: 53190283

Autorenporträt

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.

Inhaltsangabe

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.