New paradigm of industry 4.0: Internet of things, big data & cyber physical systems
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 resea...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
[2020]
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| Schriftenreihe: | Studies in Big Data
volume |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | 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 |
| Beschreibung: | 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. |
| Beschreibung: | xi, 180 Seiten Illustrationen |
| ISBN: | 9783030257774 |
Internformat
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| 520 | |a 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 | ||
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Datensatz im Suchindex
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| adam_text | Contents Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm Bhagyashree Mohanta, Pragyan Nanda and Srikanta Patnaik 1 Role of Industry 4.0 in Performance Improvement of Furniture Cluster................................................................................................................. R. B. Chadge, R. L. Shrivastava, J. P. Giri and T. N. Desai 25 Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System..................................... J. Dasgupta 37 Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices......................................... Arvind Jayant and Neeru 49 Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry....................................................... Pranav G. Charkha and Santosh B. Jaju 99 A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers Ramsey Jadim, Anders Ingwald and Basim Al-Najjar 133 Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach.... Ketaki N. Joshi, Bhushan T. Patil and Hitendra B. Vaishnav 145 Green IS—Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture.............................................................. Somnath Debnath 161 xi
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| adam_txt |
Contents Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm Bhagyashree Mohanta, Pragyan Nanda and Srikanta Patnaik 1 Role of Industry 4.0 in Performance Improvement of Furniture Cluster. R. B. Chadge, R. L. Shrivastava, J. P. Giri and T. N. Desai 25 Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System. J. Dasgupta 37 Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices. Arvind Jayant and Neeru 49 Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry. Pranav G. Charkha and Santosh B. Jaju 99 A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers Ramsey Jadim, Anders Ingwald and Basim Al-Najjar 133 Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach. Ketaki N. Joshi, Bhushan T. Patil and Hitendra B. Vaishnav 145 Green IS—Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture. Somnath Debnath 161 xi |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author2 | Patnaik, Srikanta 1967- |
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| building | Verbundindex |
| bvnumber | BV049363209 |
| classification_rvk | QP 505 |
| ctrlnum | (OCoLC)1183713136 (DE-599)BVBBV049363209 |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
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| spelling | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems Srikanta Patnaik (editor) Cham Springer [2020] xi, 180 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Studies in Big Data volume 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 bicssc bisacsh Artificial intelligence Big data Computational intelligence Hardcover, Softcover / Technik/Allgemeines, Lexika (DE-588)4143413-4 Aufsatzsammlung gnd-content Patnaik, Srikanta 1967- (DE-588)1221687298 edt Äquivalent Druck-Ausgabe, Paperback 978-3-030-25780-4 Erscheint auch als Online-Ausgabe 978-3-030-25778-1 Studies in Big Data volume (DE-604)BV041647338 64 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034623332&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems Studies in Big Data bicssc bisacsh Artificial intelligence Big data Computational intelligence |
| subject_GND | (DE-588)4143413-4 |
| title | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems |
| title_auth | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems |
| title_exact_search | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems |
| title_exact_search_txtP | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems |
| title_full | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems Srikanta Patnaik (editor) |
| title_fullStr | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems Srikanta Patnaik (editor) |
| title_full_unstemmed | New paradigm of industry 4.0 Internet of things, big data & cyber physical systems Srikanta Patnaik (editor) |
| title_short | New paradigm of industry 4.0 |
| title_sort | new paradigm of industry 4 0 internet of things big data cyber physical systems |
| title_sub | Internet of things, big data & cyber physical systems |
| topic | bicssc bisacsh Artificial intelligence Big data Computational intelligence |
| topic_facet | bicssc bisacsh Artificial intelligence Big data Computational intelligence Aufsatzsammlung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034623332&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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