Maintenance Scheduling Optimization using Artificial Intelligence Techniques: A Review

2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) Pub Date : 2023-06-08 DOI:10.1109/HORA58378.2023.10156713

A. J. Haleel, L. Dawood

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Abstract

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.

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基于人工智能技术的维修计划优化研究进展

现代维护计划是一个复杂的优化问题，它结合了资源约束、不确定环境和关键时间。随着人工智能技术的更多应用和最新进展，需要对维护领域中的这些进展进行整理和分类。本研究的目的是概述人工智能技术已被用于解决维修计划优化问题。基于2010-2022年期间IEEE explore、springer link和science direct三个数据库的出版物，评审过程确定了130篇与维护计划优化相关的出版物。在这项工作中，总共选择了37篇使用人工智能技术优化维护计划的出版物。这项工作的结果将使研究人员能够对不同应用领域中用于维护调度优化问题的现有人工智能工具有一个很好的概述。

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2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

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