INDUSTRIAL AND SYSTEMS ENGINEERING OPTIMIZATION USING ARTIFICIAL INTELLIGENCE, SIMULATION, AND DECISION-SUPPORT SYSTEMS

Abstract

Industrial and systems engineering plays a critical role in improving efficiency, productivity, and decision-making in complex organizational and manufacturing environments. The increasing complexity of modern industrial systems has led to the adoption of advanced optimization techniques powered by artificial intelligence (AI), simulation modeling, and decision-support systems (DSS). These technologies enable data-driven analysis, predictive insights, and intelligent optimization across production, logistics, supply chains, and service systems. This review presents a comprehensive examination of recent developments in industrial and systems engineering optimization using AI, simulation, and DSS. Key methodologies, application domains, benefits, challenges, and future research directions are critically analyzed, highlighting the transformative impact of intelligent optimization on modern industrial systems.