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Titlebook: New Paradigm of Industry 4.0; Internet of Things, Srikanta Patnaik Book 2020 Springer Nature Switzerland AG 2020 Machine Learning.Human Ma

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發(fā)表于 2025-3-26 22:12:55 | 只看該作者
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發(fā)表于 2025-3-27 05:09:23 | 只看該作者
Role of Industry 4.0 in Performance Improvement of Furniture Cluster, critical success factors (CSFs). Identification of these factors is essential for performance improvements of furniture cluster. This paper reviewed the literature on CSFs and various supporting philosophies of industry 4.0. The paper studied the impact of these factors through interaction with var
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發(fā)表于 2025-3-27 05:51:17 | 只看該作者
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發(fā)表于 2025-3-27 10:22:17 | 只看該作者
Decision Support Framework for Smart Implementation of Green Supply Chain Management Practices,water shortages, acid rain and climate change companies have started focusing on reducing their carbon footprint to ensure that the world’s natural resources are sustained for the foreseeable future. Many international and local companies are now looking to incorporate green initiatives into their s
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發(fā)表于 2025-3-27 16:14:17 | 只看該作者
Decision Support System for Supply Chain Performance Measurement: Case of Textile Industry,xtile industry. To meet the objective, hierarchical model is developed including criteria, sub-criteria, alternatives. Proposed decision support system (DSS) is developed with objective as textile supply chain performance measurement with 4 stakeholder value creation perspectives (Financial, Custome
36#
發(fā)表于 2025-3-27 21:16:11 | 只看該作者
A Review Study of Condition Monitoring and Maintenance Approaches for Diagnosis Corrosive Sulphur Dconductor Copper Sulphide (Cu.S) which result in formation Corrosive Sulphur Deposition (CSD) on the significant internal components. Formation of CSD leads to a continuous current path lead to overheating fault and deterioration of insulation system which can turn towards transformer failure. The p
37#
發(fā)表于 2025-3-27 22:06:56 | 只看該作者
Principal Components Based Multivariate Statistical Process Monitoring of Machining Process Using Mg processes over the time. In view of Industry 4.0, industries are looking forward for innovative, automated solutions to process monitoring and control over the traditional approaches. This chapter presents an innovative approach for monitoring the machining process using integration of three well-
38#
發(fā)表于 2025-3-28 03:35:07 | 只看該作者
,Green IS—Exploring Environmental Sensitive IS Through the Lens of Enterprise Architecture,s that green. IS (process) would lead to like complexity of integrating environmental sensitivity and plurality of views in designing processes or improving the existing ones, not to mention, the emergent nature of interactions that implementing any form of green IS (outcome) would bring in. Other t
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發(fā)表于 2025-3-28 06:31:53 | 只看該作者
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