Decision Analytics Applications in Industry /

This book presents a 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, to name but a few. It also highlights integrated...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Kapur, P. K. (Editor), Singh, Gurinder (Editor), Klochkov, Yury S. (Editor), Kumar, Uday (Editor)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Asset Analytics, Performance and Safety Management,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:This book presents a 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, to name but a few. It also highlights integrated methods and practices in the areas of machine learning and genetic algorithms. After discussing 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 examines the latest developments and breakthroughs in the field of 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. These contributions provide scholars with a platform to derive maximum utility in the area of analytics by subscribing to the idea of managing business through system sciences, operations, and management. Managers and decision-makers can learn a great deal from the respective chapters, which will help them devise their own business strategies and find real-world solutions to complex industrial problems.
Physical Description:1 online resource (XIX, 555 pages 233 illustrations, 185 illustrations in color.)
ISBN:9789811536434
ISSN:2522-5170
DOI:10.1007/978-981-15-3643-4