Management Approach for Resource-Productive Operations - Design of a Time-Based and Analytics-Supported Methodology Grounded in Six Sigma

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.

Sommario

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.

Info autore

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.

Riassunto

An Industrial Management Case Research

Dettagli sul prodotto

• Autori: Markus Hammer
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 17.07.2018
• EAN: 9783658229382
• ISBN: 978-3-658-22938-2
• Pagine: 258
• Dimensioni: 148 mm x 15 mm x 210 mm
• Peso: 371 g
• Illustrazioni: XXV, 258 p. 98 illus.
• Serie: Industrial Management
• Categorie: Scienze sociali, diritto, economia > Economia > Tematiche generali, enciclopedie; Operations Research, C, Wirtschaftsmathematik und -informatik, IT-Management, Economics, Management: Entscheidungstheorie, Business and Management, Management: Produktion und Qualitätskontrolle, Production, IT in Business, Operations Research/Decision Theory, Operations Research and Decision Theory, Management decision making, Management science, Management information systems, Business mathematics & systems, Decision Making, Production management, Business Information Systems, Production & quality control management