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New paradigm of industry 4.0 = Inter...
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Patnaik, Srikanta.
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New paradigm of industry 4.0 = Internet of things, big data & cyber physical systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
New paradigm of industry 4.0/ edited by Srikanta Patnaik.
其他題名:
Internet of things, big data & cyber physical systems /
其他作者:
Patnaik, Srikanta.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xi, 180 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Industrial organization (Economic theory) -
電子資源:
https://doi.org/10.1007/978-3-030-25778-1
ISBN:
9783030257781
New paradigm of industry 4.0 = Internet of things, big data & cyber physical systems /
New paradigm of industry 4.0
Internet of things, big data & cyber physical systems /[electronic resource] :edited by Srikanta Patnaik. - Cham :Springer International Publishing :2020. - xi, 180 p. :ill., digital ;24 cm. - Studies in big data,v.642197-6503 ;. - Studies in big data ;v.64..
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.
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.
ISBN: 9783030257781
Standard No.: 10.1007/978-3-030-25778-1doiSubjects--Topical Terms:
649031
Industrial organization (Economic theory)
LC Class. No.: HD2326 / .N48 2020
Dewey Class. No.: 338.6
New paradigm of industry 4.0 = Internet of things, big data & cyber physical systems /
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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.
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