Maintenance Scheduling Optimization using Artificial Intelligence Techniques: A Review

Modern-day maintenance scheduling is a complex optimization problem that combines resource constraints, uncertain environments, and critical times. With more applications and recent advances in artificial intelligence techniques, a review is needed to collate and categorize these advances in the Maintenance domain. The purpose of This study aims to provide an overview of artificial intelligence techniques that have been used to solve maintenance schedule optimization problems. Based on the publications from three databases, IEEE explore, springer link, and science direct for the time frame from 2010-2022 the review process identified 130 publications in maintenance scheduling optimization terms. A total of 37 publications that used AI techniques to optimize maintenance scheduling were selected in this work. The results of this work will enable researchers to gain a good overview of the existing AI tools used in maintenance scheduling optimization problems for the different application domains.