Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Sultan Ceren Öner (Istanbul Technical University, Turkey) and Oya H. Yüregir (Çukurova University, Turkey)
Release Date: December, 2018|Copyright: © 2019 |Pages: 238
DOI: 10.4018/978-1-5225-5137-9
ISBN13: 9781522551379|ISBN10: 1522551379|EISBN13: 9781522551386|ISBN13 Softcover: 9781522586746
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Description & Coverage
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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Cyber-Physical Systems
  • Data Linkage Methods
  • Digital Economy
  • Digitalized Control Systems
  • End-to-End Engineering
  • Fuzzy Logic
  • Industry 4.0
  • Manufacturing Systems
  • MICMAC Approach
  • Multi-Criteria Decision Making
  • Optimization Techniques
  • Value Creation
  • Waste Management Systems
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