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Correction to: Data Analysis and Optimization for Engineering and Computing Problems

2020 , Vasant, Pandian , Litvinchev, Igor , Marmolejo Saucedo, José Antonio , Rodríguez Aguilar, Román , Martínez Ríos, Félix Orlando

This book was inadvertently published without updating the following (or with the following error) © Springer Nature Switzerland AG 2020

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Optimization Methods, Mobile Networks and Data Analytics: Applications in Engineering and Industry 4.0 : Editorial

2020 , Marmolejo Saucedo, José Antonio , Martínez Ríos, Félix Orlando , Rodríguez Aguilar, Román

The business world is changing and demands the integration of various engineering techniques to make the operation of the system in general more efficient. Optimization, information security and a prospective business vision is essential for companies to be more productive. The application of new technological solutions to manufacturing and management processes is one of the ways through which digital transformation in the supply chain advances, on the road to industry 4.0. To achieve this, optimization techniques, soft-computing, machine learning and Big Data technologies must be combined. With this integration it is possible to work with real-time sensed data to build and simulate Digital Twins with very high precision. © Springer Nature