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Smart Monitoring of Rotating Machinery for Industry 4.0
This book offers an overview of current methods for the intelligent monitoring of rotating machines. It describes the foundations of smart monitoring, guiding readers to develop appropriate machine learning and statistical models for answering important challenges, such as the management and analysis of a large volume of data. It also discusses real-world case studies, highlighting some practical issues and proposing solutions to them. The book offers extensive information on research trends, and innovative strategies to solve emerging, practical issues. It addresses both academics and professionals dealing with condition monitoring, and mechanical and production engineering issues, in the era of industry 4.0.
Mergers & Acquisitions in the Machinery Industry
Which motives initiate managers to merge or to acquire other corporations? While there is a long-lasting history of empirical research on M&A in a cross-industry context, our knowledge about industry specific drivers of M&A is more than limited. Given this background, the machinery industry is an attractive segment to address questions on M&A motives – as it is on the one hand a very fragmented industry and on the other hand a bundle of in some parts highly consolidated sub-industries. In his thesis, Mr. Geiger makes an effort to answer the question why firms in the machinery industry follow M&A strategies and how successful they are in their transactions. This is not only a remarkable end...
