Special Issue on “Simulation, Modeling, and Decision-Making Processes in Manufacturing Systems and Industrial Engineering”

Abstract

The rapid evolution of emerging technologies, the globalization of industrial networks, and the increasing complexity of production ecosystems have fundamentally reshaped the paradigm of modern manufacturing and industrial engineering. The advent of Industry 5.0, characterized by cyber–physical systems, artificial intelligence, big data analytics, and the Internet of Things (IoT), has not only transformed production processes but also redefined the way decisions are made across all levels of manufacturing systems. These transformations have resulted in an unprecedented need for integrating analytical rigor with digital intelligence to ensure system adaptability, operational resilience, and sustainability. Under such a dynamic context, organizations are challenged to respond to volatile market demands, resource constraints, and environmental responsibilities, while maintaining competitiveness and innovation capacity