An Industry 4.0 Perspective on Defects, Quality and Data Science

Dr. Amit Bardhan

doi:https://doi.org/10.69711/sharda.ijmir.v10i1.2107

Submit Manuscript Login / Register Subscribe

Home Page

Editorial Board Members

Aims & Scope

Current Issue

An Industry 4.0 Perspective on Defects, Quality and Data Science

Amit Bardhan

https://doi.org/10.69711/sharda.ijmir.v10i1.2107

Published Online: June 25, 2021

Author Details ( * ) denotes Corresponding author

1. * Amit Bardhan, Professor, FMS Delhi, Delhi, India (amit-bardhan@fms.edu)

This research paper explores the intersection of Industry 4.0 principles with defects, quality management, and data science. In the era of Industry 4.0, characterized by automation, connectivity, and data-driven decision-making, manufacturing processes have undergone significant transformations. This study investigates how Industry 4.0 technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Big Data analytics, and Cyber-Physical Systems (CPS) contribute to defect detection, quality improvement, and predictive maintenance in various industrial sectors. By analyzing case studies and leveraging data science methodologies, the paper examines the integration of real-time data collection, analysis, and feedback loops to enhance product quality, reduce defects, and optimize manufacturing processes. The findings highlight the potential of Industry 4.0 strategies in driving continuous improvement, operational efficiency, and competitiveness in today's dynamic business environment.

Keywords

Industry 4.0, Defects, Quality management, Data science, Internet of Things (IoT), Artificial Intelligence (AI)