Shulph Ink
Decision Analytics Applications in Industry
Decision Analytics Applications in Industry
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This book provides a comprehensive range of qualitative and quantitative analyses in areas such as cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology. It also highlights integrated methods and practices in machine learning and genetic algorithms. The book examines the latest developments and breakthroughs in science and technology and provides novel problem-solving methods. The themes discussed in the book link contributions by researchers and practitioners from different branches of engineering and management, and hailing from around the globe, providing scholars with a platform to derive maximum utility in the area of analytics.
Format: Paperback / softback
Length: 555 pages
Publication date: 29 May 2021
Publisher: Springer Verlag, Singapore
This comprehensive book offers a diverse range of qualitative and quantitative analyses in various domains, including cybersecurity, sustainability, multivariate analysis, customer satisfaction, parametric programming, software reliability growth modeling, and blockchain technology. It also emphasizes integrated methodologies and practices in machine learning and genetic algorithms. After exploring applications in supply chains and logistics, cloud computing, six sigma, production management, big data analysis, satellite imaging, game theory, biometric systems, quality, and system performance, the book delves into the latest developments and breakthroughs in the field of science and technology. It provides innovative problem-solving approaches, making it an invaluable resource for scholars and professionals seeking to leverage analytics for managing businesses through system sciences, operations, and management.
The book's themes unite contributions from researchers and practitioners across diverse engineering and management disciplines, originating from global locations. These contributions offer scholars a valuable platform to maximize the utility of analytics by embracing the concept of managing businesses through system sciences, operations, and management. Managers and decision-makers can glean valuable insights from the respective chapters, enabling them to develop their own business strategies and find practical solutions to complex industrial problems.
Weight: 872g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811536458
Edition number: 1st ed. 2020
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