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

• Κύριος συγγραφέας: Hammer, Markus (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Gabler, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Industrial Management ,
• Θέματα: Operations research.; Decision making.; Production management.; Management information systems.; Operations Research/Decision Theory.; Production.; Business Information Systems.

 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. 

 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.