A Systematic Literature review on Industrial Scheduling Optimization

Authors

  • Houcem Eddine Boukrouma LRPCSI Laboratory of Skikda, University of 20Août 1955, Skikda 21000, Algeria
  • Youcef Zennir Automatic Laboratory of Skikda, University of 20Août 1955,Skikda 21000, Algeria
  • Riad Bendib Automatic Laboratory of Skikda, University of 20Août 1955,Skikda 21000, Algeria

DOI:

https://doi.org/10.51485/ajss.v9i4.241

Keywords:

Optimization, scheduling, Operational costs, Intelligent maintenance

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 sch eduling strategies that can propel industrial operations into a new era of optimized performance.

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Published

2024-12-30

How to Cite

[1]
Boukrouma , H.E., Zennir , Y. and Bendib , R. 2024. A Systematic Literature review on Industrial Scheduling Optimization. Algerian Journal of Signals and Systems . 9, 4 (Dec. 2024), 222-235. DOI:https://doi.org/10.51485/ajss.v9i4.241.

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Section

Articles