The increasing use of intelligent data processing and its capacity to handle vast data sets enhance efficiency and effectiveness in production management. Consequently, machine learning models have become essential for decision-making in this domain. Previous literature reviews have not...

Digital twins (DTs) are digital representations of physical systems that run in real-time using enterprise data. This work introduces a simulation-based DT framework that supports dynamic manufacturing decision making during a supply chain disruption by combining real-time data with predictive...

Earthquakes pose major challenges for emergency logistics because of their unpredictable nature and the destruction they cause to infrastructure and demand. This study introduces a two-stage model for earthquake response, combining Particle Swarm Optimization (PSO) and Simulated Annealing (SA)...