Decision Analytics Applications in Industry

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Éditeur :

Springer


Collection :

Asset Analytics

Paru le : 2020-05-27

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Description


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 aplatform 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.
Pages
555 pages
Collection
Asset Analytics
Parution
2020-05-27
Marque
Springer
EAN papier
9789811536427
EAN PDF
9789811536434

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
55
Taille du fichier
25784 Ko
Prix
147,69 €
EAN EPUB
9789811536434

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
55
Taille du fichier
73984 Ko
Prix
147,69 €