A-Systematic Literature review on Industrial Scheduling Optimization
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Date
2024-12-31
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ALGERIAN JOURNAL OF SIGNALS AND SYSTEMS (AJSS).Vol. 9, Issue 4, December-2024. P-P 222-235
Abstract
The 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.