Digital Transformation in Industrial Engineering

The field of industrial engineering is undergoing a significant transformation with the integration of digital technologies such as Internet of Things (IoT), artificial intelligence (AI), and big data analytics. This shift is enabling industries to move towards predictive maintenance, optimized business processes, and improved operational efficiency. The use of digital twins, AI-powered data visualization platforms, and simulation-based analysis are some of the key innovations driving this transformation. These advancements are leading to improved decision-making, reduced downtime, and cost savings. Noteworthy papers in this area include: A Service Suite for Specifying Digital Twins for Industry 5.0, which presents a suite of services for specifying digital twins, and A Research on Business Process Optimisation Model Integrating AI and Big Data Analytics, which constructs a business process optimization model integrating AI and big data analytics.

Sources

IoT and Predictive Maintenance in Industrial Engineering: A Data-Driven Approach

A Service Suite for Specifying Digital Twins for Industry 5.0

AI-Powered Data Visualization Platform: An Intelligent Web Application for Automated Dataset Analysis

Validating Warehouse Picking Strategies Using Simulation: Case Study of a Plumbing Equipment Firm

A Research on Business Process Optimisation Model Integrating AI and Big Data Analytics

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