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Management approach for resource-pro...

Hammer, Markus.

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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-電子資源 : 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.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2019.,
面頁冊數:	xxv, 258 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Six sigma (Quality control standard) -
電子資源:	http://dx.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 operationsdesign of a time-based and analytics-supported methodology grounded in Six sigma /[electronic resource] :by Markus Hammer. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - xxv, 258 p. :ill., digital ;24 cm. - 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:

749007
Six sigma (Quality control standard)

LC Class. No.: TS156

Dewey Class. No.: 658

Management approach for resource-productive operations = design of a time-based and analytics-supported methodology grounded in Six sigma /
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