Zennir Youcef2025-02-182025-02-182024-12-312543-3792http://dspace.univ-skikda.dz:4000/handle/123456789/3984The optimization of industrial schedules has become an essential pursuit in modern industries, driven by the need to maximize efficiency, minimize operational costs, and enhance sustainability. This literature review investigates the diverse methodologies, strategies, and technological advancements shaping the field of industrial scheduling optimization. Focusing particularly on applications within petrochemical and other high-stakes industries, this review explores the use of artificial intelligence, advanced safety protocols, intelligent maintenance planning, and innovative scheduling algorithms. Through a critical analysis of recent studies, this review identifies key trends and challenges, including the integration of new technologies with legacy systems, the balance of cost and operational demands, and the development of resilient frameworks for unpredictable environments. By addressing these challenges and synthesizing current knowledge, this review highlights areas for further research and provides insights into creating adaptive, efficient, and robust scheduling strategies that can propel industrial operations into a new era of optimized performance.enArticle