New Paradigm of Industry 4.0

Part of the Studies in Big Data Book Series (volume 64)

Editors: Patnaik, Srikanta

DOI: 10.1007/978-3-030-25778-1

ISBN: 978-3-030-25777-4

Publisher: Springer International Publishing - Springer Journals

Aug 22, 2019

LitStream

Chapter 1Management of V.U.C.A. (Volatility, Uncertainty, Complexity and Ambiguity) Using Machine Learning Techniques in Industry 4.0 Paradigm

Mohanta, Bhagyashree; Nanda, Pragyan; Patnaik, Srikanta

Pages: 1 –24

[With the fast advancement in technology and induction of information technology and internet into various aspects of organizations, there has been both large scale of both quantitative as well as qualitative changes in industries. These revolutionary changes being done to attain digital...
LitStream

Chapter 2Role of Industry 4.0 in Performance Improvement of Furniture Cluster

Chadge, R. B.; Shrivastava, R. L.; Giri, J. P.; Desai, T. N.

Pages: 25 –35

[In the background of Industry 4.0, cluster can improve its performance by focusing its efforts and spending its resources on some vital factors called critical success factors (CSFs). Identification of these factors is essential for performance improvements of furniture cluster. This paper...
LitStream

Chapter 3Imparting Hands-on Industry 4.0 Education at Low Cost Using Open Source Tools and Python Eco-System

Dasgupta, J.

Pages: 37 –47

[Industry 4.0 paradigm use methods and techniques that use diverse disciplines including Mathematics, Statistics, Machine Learning, Cloud Computing, Internet of Things, Mobile Computing, Block Chains, Computer Vision, Natural Language Processing, Cyber Security, etc. It is difficult to find...
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Chapter 4Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices

Jayant, Arvind; Neeru,

Pages: 49 –98

[Sustainability has become a critical issue for both society and businesses globally. With the increase of natural disasters and global issues such as water shortages, acid rain and climate change companies have started focusing on reducing their carbon footprint to ensure that the world’s...
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Chapter 5Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry

Charkha, Pranav G.; Jaju, Santosh B.

Pages: 99 –131

[The chapter aims to propose decision support framework for identification of key performance indicators for supply chain performance measurement in textile industry. To meet the objective, hierarchical model is developed including criteria, sub-criteria, alternatives. Proposed decision support...
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Chapter 6A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Deposition in Oil-Filled Electrical Transformers

Jadim, Ramsey; Ingwald, Anders; Al-Najjar, Basim

Pages: 133 –144

[In recent years, many unplanned hazard failures of oil-filled electrical transformers have been reported due to presence of corrosion in form of semi-conductor Copper Sulphide (Cu2S) which result in formation Corrosive Sulphur Deposition (CSD) on the significant internal components. Formation of...
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Chapter 7Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Machine Vision Approach

Joshi, Ketaki N.; Patil, Bhushan T.; Vaishnav, Hitendra B.

Pages: 145 –160

[Statistical process monitoring using control charts is a well-established quality tool for understanding and improving the performance of manufacturing processes over the time. In view of Industry 4.0, industries are looking forward for innovative, automated solutions to process monitoring and...
LitStream

Chapter 8Green IS—Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture

Debnath, Somnath

Pages: 161 –180

[For IS domain to support environmental sustainability in firms, it needs to evolve capabilities beyond the traditional IS and respond to the challenges that greening IS (process) would lead to like complexity of integrating environmental sensitivity and plurality of views in designing processes...

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