New Paradigm of Industry 4.0

Internet of Things, Big Data & Cyber Physical Systems

AvSrikanta Patnaik

Inbunden, Engelska, 2019

Del i serien Studies in Big Data

1 854 kr

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Beskrivning

The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions. Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.

Produktinformation

Utgivningsdatum:2019-09-03
Mått:155 x 235 x 17 mm
Vikt:459 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Big Data
Antal sidor:180
Upplaga:19001
Förlag:Springer Nature Switzerland AG
ISBN:9783030257774

Utforska kategorier

Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Recensioner i media

“I would recommend this book primarily for those who are working in disaster management and who are geospatial information specialists in disaster management. … The book can also be important for those working on filling the skill gap caused by Industry 4.0, for they can get a broader overview of relevant applications.” (Abdelkarim Alhloul, Hungarian Geographical Bulletin, Vol. 69 (2), 2020)

Innehållsförteckning

Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) using Machine Learning Techniques in Industry 4.0 Paradigm.- Role of Industry 4.0 in Performance Improvement of Furniture Cluster.- Imparting Industry 4.0 Education using Open Source Tools: A Case.- Decision support framework for smart implementation of green supply chain management practices.- Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry.- On the Condition Monitoring and Maintenance Approaches for Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers.- Principal Components based Multivariate Statistical Process Monitoring of Machining Process using Machine Vision Approach.- Green IS - Exploring Environmental Sensitive IS through the Lens of Enterprise Architecture.