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- Publisher: Engineering Science Reference
- Year: 2018
- Pages: 216
- ISBN-10: 1522551379
- ISBN-13: 9781522551379
- Format: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Optimizing Big Data Management and Industrial Systems With Intelligent Techniques (e-book) (used book) | bookbook.eu
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Description
In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Engineering Science Reference
- Year: 2018
- Pages: 216
- ISBN-10: 1522551379
- ISBN-13: 9781522551379
- Format: 17.8 x 25.4 x 1.6 cm, kieti viršeliai
- Language: English English
In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.
Reviews