Digital Twins: Connecting Physical and Digital SystemsTechnology advances rapidly, and among the most significant developments is the digital twin concept. This article explains what digital…Jan 1Jan 1
Reinforcement Learning vs Operations Research in Route and Network OptimizationFor route and network optimization, two powerful methodologies often come into play: Reinforcement Learning (RL) and Operations Research…Dec 17, 2024Dec 17, 2024
What is Combinatorial Optimization?Combinatorial Optimization (CO) is a field of mathematical optimization focused on finding the best solution from a finite or discrete set…Dec 15, 2024Dec 15, 2024
Why Industrial & Systems Engineers, Decision & Data Scientists Should Learn Reinforcement Learning?Even in the changing tech-tonic world of todays, decision and data scientists along with industrial and systems engineers have got to stay…Jun 13, 20241Jun 13, 20241
Gaussian Process Regression (GPR) and Its Role in OptimizationWhat is Gaussian Process Regression (GPR)?Jun 8, 20242Jun 8, 20242
Reinforcement Learning for Real-Time Production AdaptationIn contemporary industrial systems, the need for adaptive production systems is significant. Traditional production methods often struggle…Jun 2, 20242Jun 2, 20242
Adaptive Optimization with Online Learning AlgorithmsIn today’s data-driven world, adaptive optimization with online learning algorithms has become a game-changer for businesses and…May 30, 2024May 30, 2024
Multi-Agent Systems for Distributed Decision MakingIn today’s changing technological world, the complexity and scale of decision-making processes in various industries have grown…May 21, 2024May 21, 2024
Introduction to Graph Neural Networks (GNN) in Production Process OptimizationGraph Neural Networks (GNNs) are an advanced subset of neural networks adapted for data structured in graphs. In manufacturing processes…May 17, 2024May 17, 2024
Production Scheduling with Genetic AlgorithmsIntroduction to Genetic AlgorithmsMay 10, 20241May 10, 20241
